<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.0 20040830//EN" "journalpublishing.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="2.0" xml:lang="en" article-type="research-article"><front><journal-meta><journal-id journal-id-type="nlm-ta">JMIR Rehabil Assist Technol</journal-id><journal-id journal-id-type="publisher-id">rehab</journal-id><journal-id journal-id-type="index">17</journal-id><journal-title>JMIR Rehabilitation and Assistive Technologies</journal-title><abbrev-journal-title>JMIR Rehabil Assist Technol</abbrev-journal-title><issn pub-type="epub">2369-2529</issn><publisher><publisher-name>JMIR Publications</publisher-name><publisher-loc>Toronto, Canada</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">v12i1e75164</article-id><article-id pub-id-type="doi">10.2196/75164</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Paper</subject></subj-group></article-categories><title-group><article-title>Telephone Administration of the Human Activity Profile Questionnaire in Patients With Cardiovascular Disease: Methodological Study</article-title></title-group><contrib-group><contrib contrib-type="author"><name name-style="western"><surname>Costabile Sant&#x00B4;Anna</surname><given-names>Tamara</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Bernardes</surname><given-names>J&#x00FA;lia Isaac</given-names></name><degrees>BS</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Marques Alcici Moreira</surname><given-names>Adriana</given-names></name><degrees>MSc</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author"><name name-style="western"><surname>Cunha Polese</surname><given-names>Janaine</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author" corresp="yes"><name name-style="western"><surname>Rodrigues-Machado</surname><given-names>Maria Da Gl&#x00F3;ria</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="aff1">1</xref></contrib></contrib-group><aff id="aff1"><institution>Faculdade de Ci&#x00EA;ncias M&#x00E9;dicas de Minas Gerais</institution><addr-line>Alameda Ezequiel Dias, 275 - Centro</addr-line><addr-line>Belo Horizonte/MG</addr-line><country>Brazil</country></aff><aff id="aff2"><institution>Universidade Federal de Minas Gerais</institution><addr-line>Belo Horizonte</addr-line><country>Brazil</country></aff><contrib-group><contrib contrib-type="editor"><name name-style="western"><surname>Mastropietro</surname><given-names>Alfonso</given-names></name></contrib></contrib-group><contrib-group><contrib contrib-type="reviewer"><name name-style="western"><surname>Adekola</surname><given-names>Adeleke</given-names></name></contrib><contrib contrib-type="reviewer"><name name-style="western"><surname>Renteria-Mexia</surname><given-names>Ana</given-names></name></contrib></contrib-group><author-notes><corresp>Correspondence to Maria Da Gl&#x00F3;ria Rodrigues-Machado, PhD, Faculdade de Ci&#x00EA;ncias M&#x00E9;dicas de Minas Gerais, Alameda Ezequiel Dias, 275 - Centro, Belo Horizonte/MG, 30130-110, Brazil, +55 3134987275; <email>maria.machado@cienciasmedicasmg.edu.br</email></corresp></author-notes><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>31</day><month>12</month><year>2025</year></pub-date><volume>12</volume><elocation-id>e75164</elocation-id><history><date date-type="received"><day>28</day><month>03</month><year>2025</year></date><date date-type="rev-recd"><day>20</day><month>11</month><year>2025</year></date><date date-type="accepted"><day>22</day><month>11</month><year>2025</year></date></history><copyright-statement>&#x00A9; Tamara Costabile Sant&#x00B4;Anna, J&#x00FA;lia Isaac Bernardes, Adriana Marques Alcici Moreira, Janaine Cunha Polese, Maria Da Gl&#x00F3;ria Rodrigues-Machado. Originally published in JMIR Rehabilitation and Assistive Technology (<ext-link ext-link-type="uri" xlink:href="https://rehab.jmir.org">https://rehab.jmir.org</ext-link>), 31.12.2025. </copyright-statement><copyright-year>2025</copyright-year><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Rehabilitation and Assistive Technology, is properly cited. The complete bibliographic information, a link to the original publication on <ext-link ext-link-type="uri" xlink:href="https://rehab.jmir.org/">https://rehab.jmir.org/</ext-link>, as well as this copyright and license information must be included.</p></license><self-uri xlink:type="simple" xlink:href="https://rehab.jmir.org/2025/1/e75164"/><abstract><sec><title>Background</title><p>The Human Activity Profile (HAP) questionnaire is widely used to assess functional capacity in patients with chronic diseases. However, its remote administration via telephone has not been validated in individuals with cardiovascular disease (CVD), despite the increasing need for accessible assessment methods, particularly in contexts involving mobility limitations or reduced access to in-person care.</p></sec><sec><title>Objective</title><p>We aimed to validate administration of the HAP questionnaire via telephone in patients with CVD who were participating in a cardiovascular rehabilitation program.</p></sec><sec sec-type="methods"><title>Methods</title><p>This methodological study included 56 patients with CVD (36/56, 64% men; mean age 75.14, SD 10.28 years). Participants completed the HAP twice, once face-to-face and once by telephone, with a 3- to 14-day interval. Maximum activity score (MAS) and adjusted activity score (AAS) were analyzed. Internal consistency was assessed using Cronbach &#x03B1;, test-retest reliability was assessed using intraclass correlation coefficients (ICCs), and agreement between modalities was assessed using Bland-Altman plots. Paired comparisons between modes were performed using mean differences (MDs) and <italic>P</italic> values.</p></sec><sec sec-type="results"><title>Results</title><p>MAS values did not differ significantly between face-to-face and telephone administration (mean 79.11, SD 11.48 vs mean 82.71, SD 7.48; MD &#x2013;3.61; <italic>P</italic>=.10). AAS values showed a similar pattern (mean 69.11, SD 14.18 vs mean 71.21, SD 13.43; MD &#x2013;2.11; <italic>P</italic>=.05). Internal consistency was excellent (Cronbach &#x03B1;=0.919), and reliability was high (ICC=0.794 for MAS; ICC=0.910 for AAS). Bland-Altman analyses demonstrated acceptable limits of agreement for MAS (&#x2013;19.3 to 12.1) and AAS (&#x2013;17.6 to 13.4), with no systematic bias.</p></sec><sec sec-type="conclusions"><title>Conclusions</title><p>The HAP questionnaire administered by telephone demonstrates high reliability, excellent internal consistency, and strong agreement with face-to-face application. Telephone-based administration represents a valid, practical, and accessible alternative for assessing functional capacity in patients with cardiovascular disease, particularly when in-person evaluations are not feasible.</p></sec></abstract><kwd-group><kwd>physical functional performance</kwd><kwd>cardiovascular rehabilitation</kwd><kwd>surveys and questionnaires</kwd><kwd>telephone call</kwd><kwd>interview</kwd></kwd-group></article-meta></front><body><sec id="s1" sec-type="intro"><title>Introduction</title><p>Despite a sustained decline in cardiovascular disease (CVD) morbidity and mortality over the past 4 decades, CVD remains a leading cause of disease burden worldwide [<xref ref-type="bibr" rid="ref1">1</xref>-<xref ref-type="bibr" rid="ref3">3</xref>]. Nearly 80% of CVDs occur in low- and middle-income countries, where aging and urbanization trends have accelerated the increase in the burden of CVD [<xref ref-type="bibr" rid="ref4">4</xref>].</p><p>Functional capacity assessment is an important part of clinical evaluation, especially in patients with chronic conditions such as heart failure, lung disease, neuromuscular disease, and other conditions that may affect functionality [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref5">5</xref>-<xref ref-type="bibr" rid="ref8">8</xref>]. Maximal exercise tests are widely used in functional capacity assessment, but the high cost may limit their use. Thus, a possible alternative is the application of scales and questionnaires that constitute relatively simple and economical tools, do not require sophisticated equipment or specialized environments to be administered, and are more accessible to a greater number of patients [<xref ref-type="bibr" rid="ref8">8</xref>].</p><p>The Human Activity Profile (HAP) is a simple questionnaire designed to assess functional capacity in relation to daily activities and physical fitness and can offer a more accessible, convenient, and cost-effective approach to assessment [<xref ref-type="bibr" rid="ref9">9</xref>]. The HAP questionnaire quantifies functional capacity individually, providing relevant information about physical well-being and supporting strategies to promote active lifestyles and monitor disease progression [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref11">11</xref>].</p><p>The HAP questionnaire has demonstrated validity in cardiovascular populations and has been used alongside reference measures such as cardiopulmonary exercise testing that is considered the gold standard for assessing functional capacity, as well as with the 6-Minute Walk Test, which is widely applied in clinical settings, showing good correlation with functional capacity [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref11">11</xref>]. In populations with Chagas cardiomyopathy and heart failure, the HAP questionnaire has been associated with measures such as functional class and systolic function, reinforcing its clinical relevance in characterizing functional limitations in CVD [<xref ref-type="bibr" rid="ref12">12</xref>]. Additionally, its application has proven reliable across diverse clinical settings, including hospitalized and community-dwelling older adults [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref13">13</xref>,<xref ref-type="bibr" rid="ref14">14</xref>].</p><p>In recent years, the application of questionnaires by telephone has gained prominence as a viable method of data collection, especially during periods requiring social distancing, such as the COVID-19 pandemic. Studies have successfully validated the use of telephone-based tools, including functional assessments such as the Duke Activity Status Index, in individuals with CVD and stroke [<xref ref-type="bibr" rid="ref15">15</xref>-<xref ref-type="bibr" rid="ref17">17</xref>]. Such methods facilitate rapid and remote evaluations, reducing barriers for patients with mobility limitations or restricted access to in-person care.</p><p>Therefore, applying the HAP questionnaire via telephone may represent a practical alternative for remote assessment of functional capacity in individuals with CVD.</p><p>The objective of this study is to validate the telephone administration of the HAP questionnaire in patients with CVD who were participating in a cardiovascular rehabilitation program.</p></sec><sec id="s2" sec-type="methods"><title>Methods</title><sec id="s2-1"><title>Study Design</title><p>This is a methodological study designed to assess the reliability and validity of the HAP questionnaire when administered via telephone to patients with CVD. The study followed the Consensus-Based Standards for the Selection of Health Measurement Instruments guidelines [<xref ref-type="bibr" rid="ref18">18</xref>], which recommend a minimum of 50 participants for studies assessing measurement properties such as reliability and construct validity. This sample size is considered adequate to detect moderate to high intraclass correlation coefficients (ICCs; ICC &#x003E;0.70) with sufficient statistical power in validation studies.</p></sec><sec id="s2-2"><title>Ethical Considerations</title><p>The study was approved by the institutional research ethics committee (number 5.456.711) and was conducted in accordance with the ethical standards outlined in the Declaration of Helsinki. All participants provided written informed consent before inclusion in the study.</p></sec><sec id="s2-3"><title>Participants</title><p>Participants were recruited from a cardiovascular rehabilitation program, and the sample was composed of patients diagnosed with CVD. A convenience sampling method was used on the basis of availability and eligibility of patients enrolled in the program during the study period.</p><p>The inclusion criteria were individuals of both sexes who were aged between 50 and 90 years and with a confirmed diagnosis of CVD. The exclusion criteria included patients with auditory or cognitive impairments that could interfere with communication during the telephone interview and those who failed to complete the second part of the questionnaire within the maximum interval of 14 days between assessments.</p><p>A total of 56 participants met the eligibility criteria and completed both the face-to-face and telephone assessments. Demographic, clinical, and pharmacological characteristics of the sample are presented in <xref ref-type="table" rid="table1">Table 1</xref>.</p><table-wrap id="t1" position="float"><label>Table 1.</label><caption><p>Sample characterization (N=56).</p></caption><table id="table1" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Variables</td><td align="left" valign="bottom">Sample</td></tr></thead><tbody><tr><td align="left" valign="top">Sex (male), n (%)</td><td align="left" valign="top">36 (64)</td></tr><tr><td align="left" valign="top">Age (years), mean (SD)</td><td align="left" valign="top">75.14&#x202F;(10.28)</td></tr><tr><td align="left" valign="top">Weight (kg), mean (SD)</td><td align="left" valign="top">73.02&#x202F;(13.64)</td></tr><tr><td align="left" valign="top">Height (cm), mean (SD)</td><td align="left" valign="top">165.29&#x202F;(10.11)</td></tr><tr><td align="left" valign="top">BMI (kg/m&#x00B2;), mean (SD)</td><td align="left" valign="top">26.65&#x202F;(3.97)</td></tr><tr><td align="left" valign="top" colspan="2">Medication use, n (%)</td></tr><tr><td align="left" valign="top">&#x2003;Antihypertensives</td><td align="left" valign="top">48 (86)</td></tr><tr><td align="left" valign="top">&#x2003;Statins</td><td align="left" valign="top">44 (79)</td></tr><tr><td align="left" valign="top">&#x2003;Beta blockers</td><td align="left" valign="top">26 (47)</td></tr><tr><td align="left" valign="top">&#x2003;Anticoagulants</td><td align="left" valign="top">22 (39)</td></tr><tr><td align="left" valign="top">&#x2003;Antiglycemic agents</td><td align="left" valign="top">12 (22)</td></tr><tr><td align="left" valign="top" colspan="2">Cardiovascular diagnosis, n (%)</td></tr><tr><td align="left" valign="top">&#x2003;Coronary artery disease</td><td align="left" valign="top">31 (55)</td></tr><tr><td align="left" valign="top">&#x2003;Arrhythmia</td><td align="left" valign="top">15 (27)</td></tr><tr><td align="left" valign="top">&#x2003;Acute myocardial infarction</td><td align="left" valign="top">7 (13)</td></tr><tr><td align="left" valign="top">&#x2003;Valvulopathy</td><td align="left" valign="top">3 (5)</td></tr><tr><td align="left" valign="top">&#x2003;Congestive heart failure</td><td align="left" valign="top">2 (4)</td></tr><tr><td align="left" valign="top" colspan="2">Comorbidities, n (%)</td></tr><tr><td align="left" valign="top">&#x2003;Dyslipidemia</td><td align="left" valign="top">55 (98)</td></tr><tr><td align="left" valign="top">&#x2003;Systemic arterial hypertension</td><td align="left" valign="top">54 (96)</td></tr><tr><td align="left" valign="top">&#x2003;Obesity</td><td align="left" valign="top">13 (23)</td></tr><tr><td align="left" valign="top">&#x2003;Diabetes mellitus</td><td align="left" valign="top">11 (19)</td></tr><tr><td align="left" valign="top">&#x2003;Chronic kidney disease</td><td align="left" valign="top">2 (4)</td></tr><tr><td align="left" valign="top">&#x2003;Stroke</td><td align="left" valign="top">1 (2)</td></tr><tr><td align="left" valign="top" colspan="2">Procedure or surgery performed, n (%)</td></tr><tr><td align="left" valign="top">&#x2003;Stent placement</td><td align="left" valign="top">15 (27)</td></tr><tr><td align="left" valign="top">&#x2003;Coronary artery bypass grafting</td><td align="left" valign="top">1 (2)</td></tr></tbody></table></table-wrap></sec><sec id="s2-4"><title>HAP Questionnaire</title><p>The HAP questionnaire is composed of 94 items that assess an individual&#x2019;s level of physical function across domains such as self-care, work, social engagement, and physical activity. The items are ordered by increasing metabolic demand, with higher item numbers representing activities that require greater energy expenditure [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref11">11</xref>].</p><p>Participants were asked to classify each activity as one they are &#x201C;still doing,&#x201D; have &#x201C;stopped doing,&#x201D; or have &#x201C;never done.&#x201D; The HAP questionnaire can be applied to individuals with a wide range of functional capacities&#x2014;from very low (eg, getting in and out of bed without assistance) to very high (eg, running 4.8 kilometers) [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref11">11</xref>].</p><p>The questionnaire generates 2 primary scores:</p><list list-type="bullet"><list-item><p>Maximum activity score (MAS): the number of the most strenuous activity the participant is still performing</p></list-item><list-item><p>Adjusted activity score (AAS): calculated by subtracting the number of activities the participant has &#x201C;stopped doing&#x201D; from the MAS, up to and including the activity with the highest score still performed</p></list-item></list><p>The AAS is considered a more stable estimate of the individual&#x2019;s typical functional level compared to the MAS, as it adjusts for discontinued activities. According to established cutoffs, AAS values categorize individuals as: inactive (AAS&#x003C;53), moderately active (AAS=53&#x2010;74), and active (AAS&#x003E;74) [<xref ref-type="bibr" rid="ref9">9</xref>,<xref ref-type="bibr" rid="ref14">14</xref>].</p></sec><sec id="s2-5"><title>Procedure</title><p>The HAP questionnaire was administered to each participant on 2 separate occasions: once in person and once via telephone. The interval between the two assessments ranged from 3 to 14 days (mean 8, SD 4.5 d), which was deemed appropriate to minimize recall bias while avoiding significant changes in clinical status [<xref ref-type="bibr" rid="ref19">19</xref>].</p><p>Each participant completed both modes of administration only once, and both applications were conducted by the same trained physiotherapist who followed a standardized protocol to ensure consistency in tone, pacing, and instructions across both modalities.</p><p>The order of administration was not randomized, with all participants first completing the face-to-face assessment followed by the telephone interview. This fixed order was chosen to maximize adherence and reduce the risk of dropout, particularly among older participants, based on preliminary feasibility observations during pilot testing.</p></sec><sec id="s2-6"><title>Statistical Analysis</title><p>Categorical variables were reported as absolute frequencies and percentages, whereas continuous variables were expressed as means and SDs. To evaluate convergent validity, the mean differences (MDs) between face-to-face and telephone assessments were calculated along with 95% CIs.</p><p>Cronbach &#x03B1; was used to assess internal consistency, with values greater than 0.70 considered acceptable. The ICC was applied to determine test-retest reliability and temporal stability of the HAP questionnaire across administration modes. The magnitude of ICC was classified as follows: very high (&#x003E;0.90), high (0.70&#x2010;0.89), moderate (0.50&#x2010;0.69), low (0.26&#x2010;0.49), and very low (&#x003C;0.25) [<xref ref-type="bibr" rid="ref19">19</xref>].</p><p>To assess agreement between the two methods, the Bland-Altman method was used, comparing the mean values and the differences between in-person and telephone assessments for MAS and AAS. The upper and lower limits of agreement were calculated as MD &#x2212;1.96 to +1.96 times the SD of the differences, and plotted to visualize the dispersion and potential bias.</p><p>All statistical analyses were performed using R software (version 1.0), and a significance level of 5% (<italic>P</italic>&#x003C;.05) was adopted.</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><p>Participants were recruited between October 10, 2022, and July 31, 2023. A total of 110 individuals were eligible, of whom 75 signed the informed consent form, and 1 participant withdrew before data collection. In total, 74 individuals completed the first phase of the study. However, 18 participants did not complete both assessments&#x2014;either failing to respond to the phone call or to attend the face-to-face assessment within the required 14-day interval. Thus, 56 participants completed both modes of questionnaire administration and were included in the final analysis (<xref ref-type="fig" rid="figure1">Figure 1</xref>).</p><fig position="float" id="figure1"><label>Figure 1.</label><caption><p>Flowchart of participant recruitment and inclusion in the study. The figure illustrates the recruitment process, including the number of eligible individuals, those who consented to participate, those who completed the first assessment, and those who were ultimately included in the final sample after completing both face-to-face and telephone evaluations. Reasons for exclusion&#x2014;such as dropout or failure to complete the second assessment within 14 days&#x2014;are also indicated.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="rehab_v12i1e75164_fig01.png"/></fig><p>The final sample included both men and women, with a mean age of 75.14 (SD 10.8) years. The most prevalent cardiovascular risk factors were dyslipidemia (55/56, 98.2%) and systemic arterial hypertension (54/56, 96.4%), as shown in <xref ref-type="table" rid="table1">Table 1</xref>. These characteristics reflect a clinically representative population for validation of functional assessment tools in individuals with CVD [<xref ref-type="bibr" rid="ref18">18</xref>].</p><p>Internal consistency and temporal stability of the HAP were assessed using Cronbach &#x03B1; and ICC, respectively. The results demonstrated excellent internal consistency for both MAS and AAS, with Cronbach &#x03B1;=0.919 (95% CI 0.879&#x2010;0.948). Test-retest reliability was classified as high for MAS (ICC=0.794; 95% CI 0.649&#x2010;0.879) and very high for AAS (ICC=0.910; 95% CI 0.847&#x2010;0.947), as shown in <xref ref-type="table" rid="table2">Table 2</xref>.</p><p>There were no statistically significant differences between face-to-face and telephone applications for either MAS (<italic>P</italic>=.10) or AAS (<italic>P</italic>=.05), as shown in <xref ref-type="table" rid="table3">Table 3</xref>. This supports the equivalence of the 2 administration methods.</p><table-wrap id="t2" position="float"><label>Table 2.</label><caption><p>Internal consistency and test-retest reliability of the Human Activity Profile questionnaire.</p></caption><table id="table2" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Score</td><td align="left" valign="bottom">ICC<sup><xref ref-type="table-fn" rid="table2fn1">a</xref></sup></td><td align="left" valign="bottom">95% CI for ICC</td><td align="left" valign="bottom">Cronbach &#x03B1;</td><td align="left" valign="bottom">95% CI for Cronbach &#x03B1;</td></tr></thead><tbody><tr><td align="left" valign="top">MAS<sup><xref ref-type="table-fn" rid="table2fn2">b</xref></sup></td><td align="left" valign="top">0.794</td><td align="left" valign="top">0.649&#x2010;0.879</td><td align="left" valign="top">0.919</td><td align="left" valign="top">0.879&#x2010;0.948</td></tr><tr><td align="left" valign="top">AAS<sup><xref ref-type="table-fn" rid="table2fn3">c</xref></sup></td><td align="left" valign="top">0.910</td><td align="left" valign="top">0.847&#x2010;0.947</td><td align="left" valign="top">&#x2014;<sup><xref ref-type="table-fn" rid="table2fn4">d</xref></sup></td><td align="left" valign="top">&#x2014;</td></tr></tbody></table><table-wrap-foot><fn id="table2fn1"><p><sup>a</sup>ICC: intraclass correlation coefficient.</p></fn><fn id="table2fn2"><p><sup>b</sup>MAS: maximum activity score.</p></fn><fn id="table2fn3"><p><sup>c</sup>AAS: adjusted activity score.</p></fn><fn id="table2fn4"><p><sup>d</sup>Not applicable.</p></fn></table-wrap-foot></table-wrap><table-wrap id="t3" position="float"><label>Table 3.</label><caption><p>Comparison of the Human Activity Profile questionnaire scores between face-to-face and telephone administration.</p></caption><table id="table3" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Score</td><td align="left" valign="bottom">Face-to-face, mean (SD)</td><td align="left" valign="bottom">Telephone, mean (SD)</td><td align="left" valign="bottom">Mean difference</td><td align="left" valign="bottom"><italic>P</italic> value</td></tr></thead><tbody><tr><td align="left" valign="top">MAS<sup><xref ref-type="table-fn" rid="table3fn1">a</xref></sup></td><td align="left" valign="top">79.11 (11.48)</td><td align="left" valign="top">82.71 (7.48)</td><td align="left" valign="top">&#x2013;3.61</td><td align="left" valign="top">.10</td></tr><tr><td align="left" valign="top">AAS<sup><xref ref-type="table-fn" rid="table3fn2">b</xref></sup></td><td align="left" valign="top">69.11 (14.18)</td><td align="left" valign="top">71.21 (13.43)</td><td align="left" valign="top">&#x2013;2.11</td><td align="left" valign="top">.05</td></tr></tbody></table><table-wrap-foot><fn id="table3fn1"><p><sup>a</sup>MAS: maximum activity score.</p></fn><fn id="table3fn2"><p><sup>b</sup>AAS: adjusted activity score.</p></fn></table-wrap-foot></table-wrap><p>Agreement between modalities was further examined using Bland-Altman analysis. For MAS, the mean bias was &#x2013;4.0 (95% CI &#x2013;19.3 to 12.1) and &#x2013;2.1 for AAS (95% CI &#x2013;17.6 to 13.4), indicating acceptable agreement without systematic error, as shown in <xref ref-type="fig" rid="figure2">Figures 2</xref> and <xref ref-type="fig" rid="figure3">3</xref>. Linear regression analysis showed nonsignificant slopes for both MAS and AAS (<italic>P</italic>&#x003E;.05), confirming the absence of proportional bias.</p><fig position="float" id="figure2"><label>Figure 2.</label><caption><p>Bland-Altman plot showing agreement between maximum activity scores (MASs) obtained through face-to-face and telephone administration of the Human Activity Profile questionnaire. The plot illustrates the mean difference between MASs obtained from face-to-face and telephone assessments, along with the 95% limits of agreement (mean difference &#x2013;1.96 to +1.96 SDs), represented by dotted lines. No systematic bias was observed, and most data points lie within the limits of agreement, indicating acceptable agreement between modes.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="rehab_v12i1e75164_fig02.png"/></fig><fig position="float" id="figure3"><label>Figure 3.</label><caption><p>Bland-Altman plot showing agreement between adjusted activity scores (AASs) obtained through face-to-face and telephone administration of the Human Activity Profile questionnaire. The plot displays the mean difference between AASs obtained via face-to-face and telephone assessments, along with the 95% limits of agreement (mean difference &#x2013;1.96 to +1.96 SDs), indicated by dotted lines. The distribution of data points within the limits suggests acceptable agreement and no evidence of systematic bias between the 2 modes of administration.</p></caption><graphic alt-version="no" mimetype="image" position="float" xlink:type="simple" xlink:href="rehab_v12i1e75164_fig03.png"/></fig><p><xref ref-type="table" rid="table4">Table 4</xref> presents the distribution of participants across functional capacity categories (inactive, moderately active, and active) based on AASs. Results were consistent across both assessment modes, reinforcing the reproducibility of classification.</p><p>No participants scored the minimum or maximum possible values for MASs (0 or 94) or AASs (1 or 94). Therefore, no floor or ceiling effects were observed, indicating that the HAP questionnaire demonstrated adequate responsiveness in this sample.</p><table-wrap id="t4" position="float"><label>Table 4.</label><caption><p>Classification of physical activity level by adjusted activity score (AAS) in face-to-face and telephone questionnaire administration (N=56).</p></caption><table id="table4" frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom">Category</td><td align="left" valign="bottom" colspan="2">Face-to-face</td><td align="left" valign="bottom" colspan="2">Telephone</td></tr></thead><tbody><tr><td align="left" valign="top"/><td align="left" valign="top">Frequency, n (%)</td><td align="left" valign="top">Mean AAS (SD)</td><td align="left" valign="top">Frequency, n (%)</td><td align="left" valign="top">Mean AAS (SD)</td></tr><tr><td align="left" valign="top">Inactive</td><td align="left" valign="top">7 (12.5)</td><td align="left" valign="top">42.42 (6.33)</td><td align="left" valign="top">4 (7.1)</td><td align="left" valign="top">40.75 (10.05)</td></tr><tr><td align="left" valign="top">Moderately active</td><td align="left" valign="top">24 (42.9)</td><td align="left" valign="top">64.68 (5.89)</td><td align="left" valign="top">24 (42.9)</td><td align="left" valign="top">64.87 6.42)</td></tr><tr><td align="left" valign="top">Active</td><td align="left" valign="top">25 (44.6)</td><td align="left" valign="top">80.33 (4.72)</td><td align="left" valign="top">28 (50.0)</td><td align="left" valign="top">81.00 (5.22)</td></tr></tbody></table><table-wrap-foot><fn id="table4fn1"><p><sup>a</sup>MAS: maximum activity score.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><sec id="s4-1"><title>Principal Findings</title><p>This study demonstrated that the HAP questionnaire administered by telephone yields results highly consistent with those obtained through face-to-face application in patients with CVD. Both MASs and AASs showed no notable differences between modalities, and the instrument exhibited excellent internal consistency (Cronbach &#x03B1;=0.919), strong test-retest reliability (ICC=0.794 for MAS; ICC=0.910 for AAS), and acceptable agreement on Bland-Altman analysis with no systematic bias. These findings indicate that telephone administration is a valid, reliable, and practical alternative for assessing functional capacity in this population, supporting the feasibility of remote functional evaluation [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref11">11</xref>,<xref ref-type="bibr" rid="ref13">13</xref>,<xref ref-type="bibr" rid="ref14">14</xref>].</p><p>Building upon these findings, the HAP questionnaire offers additional advantages that reinforce its applicability in clinical and research settings. The questionnaire allows for quick and meaningful measurements of activity level changes, comparisons with healthy populations, and identification of activity patterns associated with medical conditions [<xref ref-type="bibr" rid="ref11">11</xref>]. It has shown correlations with objective measures of cardiorespiratory fitness [<xref ref-type="bibr" rid="ref20">20</xref>] and has been validated for use in various populations, such as individuals with chronic pain and knee osteoarthritis [<xref ref-type="bibr" rid="ref21">21</xref>].</p><p>In this study, the questionnaire demonstrated good internal consistency, with a Cronbach &#x03B1; of 0.919, and strong reproducibility and temporal stability measured by the ICC, with MAS ICC=0.794 and AAS ICC=0.910. These findings align with previous validation studies. For example, a systematic review reported high consistency for MAS (0.76&#x2010;0.97) and AAS (0.79&#x2010;0.97), reinforcing the questionnaire&#x2019;s measurement reliability [<xref ref-type="bibr" rid="ref13">13</xref>].</p><p>The Cronbach &#x03B1; of 0.919 in this study is considered excellent and indicative of near-perfect reliability [<xref ref-type="bibr" rid="ref22">22</xref>]. Similar values have been observed in previous research; one study reported a Cronbach &#x03B1; of 0.91 when applying the HAP questionnaire via interview in a community-dwelling older adult population [<xref ref-type="bibr" rid="ref9">9</xref>], and another study found a Cronbach &#x03B1; of 0.93 in hospitalized patients [<xref ref-type="bibr" rid="ref14">14</xref>], reinforcing the questionnaire&#x2019;s internal consistency across diverse populations.</p><p>The internal consistency and temporal stability did not substantially differ between face-to-face and telephone administrations, suggesting that both methods are equally reliable. Our in-person results are consistent with previous studies; one investigation reported MAS and AAS of 71.6 and 63.6, respectively, in patients undergoing coronary artery bypass grafting [<xref ref-type="bibr" rid="ref11">11</xref>], whereas another study observed an MAS of 79.76 and an AAS of 65.81 in patients with heart failure [<xref ref-type="bibr" rid="ref10">10</xref>]. Importantly, this study is, to our knowledge, the first to evaluate both the internal consistency and the agreement of HAP questionnaire scores when administered in person versus by telephone.</p><p>The Bland-Altman analysis confirmed good agreement between administration methods. For MAS, the limits of agreement (95% CI) ranged from &#x2212;19.3 to 12.1, and from &#x2212;17.6 to 13.4 for AAS. These findings suggest that the differences between the modes are within acceptable limits, with no significant measurement bias introduced by the telephone modality. No previous studies have reported such agreement data for the HAP questionnaire using this method of comparison.</p><p>Several previous studies have successfully used telephone-based instruments in patients with CVD [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref16">16</xref>] and in poststroke populations [<xref ref-type="bibr" rid="ref17">17</xref>,<xref ref-type="bibr" rid="ref23">23</xref>]. For instance, one study assessed pharmacist-led telephone-based education and self-management support during the COVID-19 pandemic lockdown [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref23">23</xref>]. Another investigation examined angina prevalence among stable outpatients with CVD using remote methods [<xref ref-type="bibr" rid="ref16">16</xref>], and a separate validation study confirmed the reliability of the Duke Activity Status Index administration by telephone in stroke survivors [<xref ref-type="bibr" rid="ref17">17</xref>]. Telephone administration allows for faster, more direct data collection and extends access to individuals who may be unable to attend face-to-face assessments. To our knowledge, this is the first study to validate the use of the HAP questionnaire via telephone in patients with CVD.</p></sec><sec id="s4-2"><title>Strength and Limitations of the Study</title><p>The assessment of physical activity levels is a key component of both in-person and home-based exercise programs. Validating a tool like the HAP questionnaire for telephone administration broadens access to functional capacity assessment, particularly for individuals living in rural or remote areas, those with limited mobility, or patients who are unable to attend in-person sessions. This approach also facilitates multicenter research by enabling efficient and cost-effective data collection across geographically diverse populations. Additionally, traditional functional tests often require specialized equipment or trained professionals, representing a high financial burden and logistical barrier, particularly for underserved populations [<xref ref-type="bibr" rid="ref24">24</xref>-<xref ref-type="bibr" rid="ref27">27</xref>].</p><p>However, this study has some limitations. Certain patients may face challenges related to hearing loss, language comprehension, or cognitive deficits, which can interfere with telephone-based assessment. Moreover, the lower technological literacy commonly observed among older adults, combined with socioeconomic and ethnic disparities, may further limit the widespread applicability of telephone-based tools [<xref ref-type="bibr" rid="ref28">28</xref>].</p></sec><sec id="s4-3"><title>Conclusions</title><p>The results of this study demonstrated that the HAP questionnaire, when administered by telephone, shows adequate reliability, agreement, and internal consistency, supporting its use as a valid alternative for assessing physical activity levels in patients with CVD. These findings suggest that telephone-based administration of the HAP questionnaire may be a practical, accessible, and cost-effective tool for functional assessment in clinical and research contexts, especially when in-person evaluations are not feasible.</p></sec></sec></body><back><ack><p>The authors would like to thank author J&#x00FA;lia Isaac Bernardes, an undergraduate student in the physiotherapy program at Faculdade Ci&#x00EA;ncias M&#x00E9;dicas de Minas Gerais (FCM-MG), who received a scholarship from Funda&#x00E7;&#x00E3;o de Amparo &#x00E0; Pesquisa do Estado de Minas Gerais (FAPEMIG), Brazil. The authors extend their gratitude to Thales A Velloso, a medical student at FCM-MG, who received a scholarship from Funda&#x00E7;&#x00E3;o Educacional Lucas Machado (FELUMA). They also acknowledge Aleida Nazareth Soares, PhD, for her assistance with statistical analysis.</p></ack><notes><sec><title>Funding</title><p>This study was supported by Funda&#x00E7;&#x00E3;o Educacional Lucas Machado (FELUMA), the Graduate Program in Health Sciences at Faculdade Ci&#x00EA;ncias M&#x00E9;dicas de Minas Gerais (FCM-MG), and Funda&#x00E7;&#x00E3;o de Amparo &#x00E0; Pesquisa do Estado de Minas Gerais (FAPEMIG).</p></sec><sec><title>Data Availability</title><p>The datasets generated or analyzed during this study are available from the corresponding author on reasonable request.</p></sec></notes><fn-group><fn fn-type="conflict"><p>None declared.</p></fn></fn-group><glossary><title>Abbreviations</title><def-list><def-item><term id="abb1">AAS</term><def><p>adjusted activity score</p></def></def-item><def-item><term id="abb2">CVD</term><def><p>cardiovascular disease</p></def></def-item><def-item><term id="abb3">HAP</term><def><p>Human Activity Profile</p></def></def-item><def-item><term id="abb4">ICC</term><def><p>interclass correlation coefficient</p></def></def-item><def-item><term id="abb5">MAS</term><def><p>maximum activity score</p></def></def-item><def-item><term id="abb6">MD</term><def><p>mean difference</p></def></def-item></def-list></glossary><ref-list><title>References</title><ref id="ref1"><label>1</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><collab>GBD 2019 Diseases and Injuries Collaborators</collab></person-group><article-title>Global burden of 369 diseases and injuries in 204 countries and territories, 1990&#x2013;2019: a systematic analysis for the Global Burden of Disease Study 2019</article-title><source>Lancet</source><year>2020</year><month>10</month><day>17</day><volume>396</volume><issue>10258</issue><fpage>1204</fpage><lpage>1222</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(20)30925-9</pub-id><pub-id pub-id-type="medline">33069326</pub-id></nlm-citation></ref><ref id="ref2"><label>2</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Ruivo</surname><given-names>J</given-names> </name><name name-style="western"><surname>Moholdt</surname><given-names>T</given-names> </name><name name-style="western"><surname>Abreu</surname><given-names>A</given-names> </name></person-group><article-title>Overview of Cardiac Rehabilitation following post-acute myocardial infarction in European Society of Cardiology member countries</article-title><source>Eur J Prev Cardiol</source><year>2023</year><month>07</month><day>12</day><volume>30</volume><issue>9</issue><fpage>758</fpage><lpage>768</lpage><pub-id pub-id-type="doi">10.1093/eurjpc/zwad024</pub-id><pub-id pub-id-type="medline">36722203</pub-id></nlm-citation></ref><ref id="ref3"><label>3</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><collab>Writing Committee Members</collab><name name-style="western"><surname>Virani</surname><given-names>SS</given-names> </name><name name-style="western"><surname>Newby</surname><given-names>LK</given-names> </name><etal/></person-group><article-title>2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: a report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines</article-title><source>J Am Coll Cardiol</source><year>2023</year><month>08</month><day>29</day><volume>82</volume><issue>9</issue><fpage>833</fpage><lpage>955</lpage><pub-id pub-id-type="doi">10.1016/j.jacc.2023.04.003</pub-id><pub-id pub-id-type="medline">37480922</pub-id></nlm-citation></ref><ref id="ref4"><label>4</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Li</surname><given-names>Y</given-names> </name><name name-style="western"><surname>Cao</surname><given-names>GY</given-names> </name><name name-style="western"><surname>Jing</surname><given-names>WZ</given-names> </name><name name-style="western"><surname>Liu</surname><given-names>J</given-names> </name><name name-style="western"><surname>Liu</surname><given-names>M</given-names> </name></person-group><article-title>Global trends and regional differences in incidence and mortality of cardiovascular disease, 1990-2019: findings from 2019 global burden of disease study</article-title><source>Eur J Prev Cardiol</source><year>2023</year><month>02</month><day>14</day><volume>30</volume><issue>3</issue><fpage>276</fpage><lpage>286</lpage><pub-id pub-id-type="doi">10.1093/eurjpc/zwac285</pub-id><pub-id pub-id-type="medline">36458973</pub-id></nlm-citation></ref><ref id="ref5"><label>5</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Anderson</surname><given-names>L</given-names> </name><name name-style="western"><surname>Sharp</surname><given-names>GA</given-names> </name><name name-style="western"><surname>Norton</surname><given-names>RJ</given-names> </name><etal/></person-group><article-title>Home-based versus centre-based cardiac rehabilitation</article-title><source>Cochrane Database Syst Rev</source><year>2017</year><month>06</month><day>30</day><volume>6</volume><issue>6</issue><fpage>CD007130</fpage><pub-id pub-id-type="doi">10.1002/14651858.CD007130.pub4</pub-id><pub-id pub-id-type="medline">28665511</pub-id></nlm-citation></ref><ref id="ref6"><label>6</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Rostagno</surname><given-names>C</given-names> </name><name name-style="western"><surname>Gensini</surname><given-names>GF</given-names> </name></person-group><article-title>Six minute walk test: a simple and useful test to evaluate functional capacity in patients with heart failure</article-title><source>Intern Emerg Med</source><year>2008</year><month>09</month><volume>3</volume><issue>3</issue><fpage>205</fpage><lpage>212</lpage><pub-id pub-id-type="doi">10.1007/s11739-008-0130-6</pub-id><pub-id pub-id-type="medline">18299800</pub-id></nlm-citation></ref><ref id="ref7"><label>7</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Wijeysundera</surname><given-names>DN</given-names> </name><name name-style="western"><surname>Pearse</surname><given-names>RM</given-names> </name><name name-style="western"><surname>Shulman</surname><given-names>MA</given-names> </name><etal/></person-group><article-title>Assessment of functional capacity before major non-cardiac surgery: an international, prospective cohort study</article-title><source>Lancet</source><year>2018</year><month>06</month><day>30</day><volume>391</volume><issue>10140</issue><fpage>2631</fpage><lpage>2640</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(18)31131-0</pub-id><pub-id pub-id-type="medline">30070222</pub-id></nlm-citation></ref><ref id="ref8"><label>8</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Ferguson</surname><given-names>M</given-names> </name><name name-style="western"><surname>Shulman</surname><given-names>M</given-names> </name></person-group><article-title>Cardiopulmonary exercise testing and other tests of functional capacity</article-title><source>Curr Anesthesiol Rep</source><year>2022</year><volume>12</volume><issue>1</issue><fpage>26</fpage><lpage>33</lpage><pub-id pub-id-type="doi">10.1007/s40140-021-00499-6</pub-id><pub-id pub-id-type="medline">34840532</pub-id></nlm-citation></ref><ref id="ref9"><label>9</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Souza</surname><given-names>AC</given-names> </name><name name-style="western"><surname>Magalh&#x00E3;es</surname><given-names>LC</given-names> </name><name name-style="western"><surname>Teixeira-Salmela</surname><given-names>LF</given-names> </name></person-group><article-title>Cross-cultural adaptation and analysis of the psychometric properties in the Brazilian version of the Human Activity Profile</article-title><source>Cad Saude Publica</source><year>2006</year><month>12</month><volume>22</volume><issue>12</issue><fpage>2623</fpage><lpage>2636</lpage><pub-id pub-id-type="doi">10.1590/s0102-311x2006001200012</pub-id><pub-id pub-id-type="medline">17096041</pub-id></nlm-citation></ref><ref id="ref10"><label>10</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Ribeiro-Samora</surname><given-names>GA</given-names> </name><name name-style="western"><surname>Pereira</surname><given-names>DA</given-names> </name><name name-style="western"><surname>Vieira</surname><given-names>OA</given-names> </name><etal/></person-group><article-title>Using the human activity profile to assess functional performance in heart failure</article-title><source>J Cardiopulm Rehabil Prev</source><year>2016</year><volume>36</volume><issue>3</issue><fpage>180</fpage><lpage>185</lpage><pub-id pub-id-type="doi">10.1097/HCR.0000000000000162</pub-id><pub-id pub-id-type="medline">26784733</pub-id></nlm-citation></ref><ref id="ref11"><label>11</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Parry</surname><given-names>M</given-names> </name><name name-style="western"><surname>Arthur</surname><given-names>H</given-names> </name><name name-style="western"><surname>Brooks</surname><given-names>D</given-names> </name><name name-style="western"><surname>Groll</surname><given-names>D</given-names> </name><name name-style="western"><surname>Pavlov</surname><given-names>A</given-names> </name></person-group><article-title>Measuring function in older adults with co-morbid illnesses who are undergoing coronary artery bypass graft (CABG) surgery</article-title><source>Arch Gerontol Geriatr</source><year>2012</year><volume>54</volume><issue>3</issue><fpage>477</fpage><lpage>483</lpage><pub-id pub-id-type="doi">10.1016/j.archger.2011.04.013</pub-id><pub-id pub-id-type="medline">21719124</pub-id></nlm-citation></ref><ref id="ref12"><label>12</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Costa</surname><given-names>HS</given-names> </name><name name-style="western"><surname>Lima</surname><given-names>MM</given-names> </name><name name-style="western"><surname>Vieira</surname><given-names>CF</given-names> </name><etal/></person-group><article-title>Assessment of functional performance in Chagas heart disease by Human Activity Profile questionnaire</article-title><source>Disabil Rehabil</source><year>2021</year><month>05</month><volume>43</volume><issue>9</issue><fpage>1255</fpage><lpage>1259</lpage><pub-id pub-id-type="doi">10.1080/09638288.2019.1653999</pub-id><pub-id pub-id-type="medline">31422702</pub-id></nlm-citation></ref><ref id="ref13"><label>13</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Davidson</surname><given-names>M</given-names> </name><name name-style="western"><surname>de Morton</surname><given-names>N</given-names> </name></person-group><article-title>A systematic review of the Human Activity Profile</article-title><source>Clin Rehabil</source><year>2007</year><month>02</month><volume>21</volume><issue>2</issue><fpage>151</fpage><lpage>162</lpage><pub-id pub-id-type="doi">10.1177/0269215506069475</pub-id><pub-id pub-id-type="medline">17264109</pub-id></nlm-citation></ref><ref id="ref14"><label>14</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Souza</surname><given-names>DC</given-names> </name><name name-style="western"><surname>Wegner</surname><given-names>F</given-names> </name><name name-style="western"><surname>Costa</surname><given-names>LC</given-names> </name><name name-style="western"><surname>Chiavegato</surname><given-names>LD</given-names> </name><name name-style="western"><surname>Lunardi</surname><given-names>AC</given-names> </name></person-group><article-title>Measurement properties of the Human Activity Profile questionnaire in hospitalized patients</article-title><source>Braz J Phys Ther</source><year>2017</year><volume>21</volume><issue>3</issue><fpage>153</fpage><lpage>158</lpage><pub-id pub-id-type="doi">10.1016/j.bjpt.2017.03.011</pub-id><pub-id pub-id-type="medline">28473282</pub-id></nlm-citation></ref><ref id="ref15"><label>15</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Gona</surname><given-names>OJ</given-names> </name><name name-style="western"><surname>Madhan</surname><given-names>R</given-names> </name><name name-style="western"><surname>Shambu</surname><given-names>SK</given-names> </name></person-group><article-title>Assessment of clinical pharmacists&#x2019; assistance for patients with established cardiovascular diseases during the COVID-19 pandemic: insights from southern India</article-title><source>Front Cardiovasc Med</source><year>2020</year><month>12</month><day>3</day><volume>7</volume><fpage>599807</fpage><pub-id pub-id-type="doi">10.3389/fcvm.2020.599807</pub-id><pub-id pub-id-type="medline">33426000</pub-id></nlm-citation></ref><ref id="ref16"><label>16</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Blumenthal</surname><given-names>DM</given-names> </name><name name-style="western"><surname>Howard</surname><given-names>SE</given-names> </name><name name-style="western"><surname>Searl Como</surname><given-names>J</given-names> </name><etal/></person-group><article-title>Prevalence of angina among primary care patients with coronary artery disease</article-title><source>JAMA Netw Open</source><year>2021</year><month>06</month><day>1</day><volume>4</volume><issue>6</issue><fpage>e2112800</fpage><pub-id pub-id-type="doi">10.1001/jamanetworkopen.2021.12800</pub-id><pub-id pub-id-type="medline">34097047</pub-id></nlm-citation></ref><ref id="ref17"><label>17</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Dias</surname><given-names>C</given-names> </name><name name-style="western"><surname>Torriani-Pasin</surname><given-names>C</given-names> </name><name name-style="western"><surname>Galv&#x00E3;o</surname><given-names>AC</given-names> </name><name name-style="western"><surname>Costa</surname><given-names>PH</given-names> </name><name name-style="western"><surname>Polese</surname><given-names>JC</given-names> </name></person-group><article-title>Validation of the Duke Activity Status Index questionnaire by telephone in individuals after stroke</article-title><source>Int J Cardiol Cardiovasc Risk Prev</source><year>2023</year><month>12</month><volume>19</volume><fpage>200208</fpage><pub-id pub-id-type="doi">10.1016/j.ijcrp.2023.200208</pub-id><pub-id pub-id-type="medline">37663031</pub-id></nlm-citation></ref><ref id="ref18"><label>18</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Cohen</surname><given-names>J</given-names> </name></person-group><article-title>Set correlation and contingency tables</article-title><source>Appl Psychol Meas</source><year>1988</year><volume>12</volume><issue>4</issue><fpage>425</fpage><lpage>434</lpage><pub-id pub-id-type="doi">10.1177/014662168801200410</pub-id></nlm-citation></ref><ref id="ref19"><label>19</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Avelino</surname><given-names>PR</given-names> </name><name name-style="western"><surname>Nascimento</surname><given-names>LR</given-names> </name><name name-style="western"><surname>Menezes</surname><given-names>KK</given-names> </name><etal/></person-group><article-title>Validation of the telephone-based assessment of locomotion ability after stroke</article-title><source>Int J Rehabil Res</source><year>2021</year><month>03</month><day>1</day><volume>44</volume><issue>1</issue><fpage>88</fpage><lpage>91</lpage><pub-id pub-id-type="doi">10.1097/MRR.0000000000000447</pub-id><pub-id pub-id-type="medline">33234843</pub-id></nlm-citation></ref><ref id="ref20"><label>20</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Daughton</surname><given-names>DM</given-names> </name><name name-style="western"><surname>Fix</surname><given-names>AJ</given-names> </name><name name-style="western"><surname>Kass</surname><given-names>I</given-names> </name><name name-style="western"><surname>Bell</surname><given-names>CW</given-names> </name><name name-style="western"><surname>Patil</surname><given-names>KD</given-names> </name></person-group><article-title>Maximum oxygen consumption and the ADAPT quality-of-life scale</article-title><source>Arch Phys Med Rehabil</source><year>1982</year><month>12</month><volume>63</volume><issue>12</issue><fpage>620</fpage><lpage>622</lpage><pub-id pub-id-type="medline">7149948</pub-id></nlm-citation></ref><ref id="ref21"><label>21</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Bennell</surname><given-names>KL</given-names> </name><name name-style="western"><surname>Hinman</surname><given-names>RS</given-names> </name><name name-style="western"><surname>Crossley</surname><given-names>KM</given-names> </name><etal/></person-group><article-title>Is the Human Activity Profile a useful measure in people with knee osteoarthritis?</article-title><source>J Rehabil Res Dev</source><year>2004</year><month>07</month><volume>41</volume><issue>4</issue><fpage>621</fpage><lpage>630</lpage><pub-id pub-id-type="doi">10.1682/jrrd.2003.07.0103</pub-id><pub-id pub-id-type="medline">15558390</pub-id></nlm-citation></ref><ref id="ref22"><label>22</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Landis</surname><given-names>JR</given-names> </name><name name-style="western"><surname>Koch</surname><given-names>GG</given-names> </name></person-group><article-title>The measurement of observer agreement for categorical data</article-title><source>Biometrics</source><year>1977</year><month>03</month><volume>33</volume><issue>1</issue><fpage>159</fpage><lpage>174</lpage><pub-id pub-id-type="doi">10.2307/2529310</pub-id><pub-id pub-id-type="medline">843571</pub-id></nlm-citation></ref><ref id="ref23"><label>23</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Bilek</surname><given-names>LD</given-names> </name><name name-style="western"><surname>Camp</surname><given-names>KL</given-names> </name><name name-style="western"><surname>Dawn</surname><given-names>DM</given-names> </name><name name-style="western"><surname>Dvorak</surname><given-names>M</given-names> </name></person-group><article-title>Evaluation of the Human Activities Profile Questionnaire for use with persons with arthritis</article-title><source>Arthritis Care Res</source><year>2000</year><volume>13</volume><issue>Suppl 1</issue><pub-id pub-id-type="doi">10.1002/art.21455</pub-id></nlm-citation></ref><ref id="ref24"><label>24</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Canada</surname><given-names>JM</given-names> </name><name name-style="western"><surname>Reynolds</surname><given-names>MA</given-names> </name><name name-style="western"><surname>Myers</surname><given-names>R</given-names> </name><etal/></person-group><article-title>Usefulness of the Duke Activity Status Index to select an optimal cardiovascular exercise stress test protocol</article-title><source>Am J Cardiol</source><year>2021</year><month>05</month><day>1</day><volume>146</volume><fpage>107</fpage><lpage>114</lpage><pub-id pub-id-type="doi">10.1016/j.amjcard.2021.01.030</pub-id><pub-id pub-id-type="medline">33539859</pub-id></nlm-citation></ref><ref id="ref25"><label>25</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Pook</surname><given-names>M</given-names> </name><name name-style="western"><surname>Elhaj</surname><given-names>H</given-names> </name><name name-style="western"><surname>El Kefraoui</surname><given-names>C</given-names> </name><etal/></person-group><article-title>Construct validity and responsiveness of the Duke Activity Status Index (DASI) as a measure of recovery after colorectal surgery</article-title><source>Surg Endosc</source><year>2022</year><month>11</month><volume>36</volume><issue>11</issue><fpage>8490</fpage><lpage>8497</lpage><pub-id pub-id-type="doi">10.1007/s00464-022-09145-6</pub-id><pub-id pub-id-type="medline">35212822</pub-id></nlm-citation></ref><ref id="ref26"><label>26</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Abbasi-Ghahramanloo</surname><given-names>A</given-names> </name><name name-style="western"><surname>Soltani-Kermanshahi</surname><given-names>M</given-names> </name><name name-style="western"><surname>Mansori</surname><given-names>K</given-names> </name><etal/></person-group><article-title>Comparison of SF-36 and WHOQoL-BREF in measuring quality of life in patients with type 2 diabetes</article-title><source>Int J Gen Med</source><year>2020</year><month>08</month><day>11</day><volume>13</volume><fpage>497</fpage><lpage>506</lpage><pub-id pub-id-type="doi">10.2147/IJGM.S258953</pub-id><pub-id pub-id-type="medline">32884330</pub-id></nlm-citation></ref><ref id="ref27"><label>27</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Govil</surname><given-names>N</given-names> </name><name name-style="western"><surname>Parag</surname><given-names>K</given-names> </name><name name-style="western"><surname>Kumar</surname><given-names>B</given-names> </name><name name-style="western"><surname>Khandelwal</surname><given-names>H</given-names> </name><name name-style="western"><surname>Dua</surname><given-names>R</given-names> </name><name name-style="western"><surname>Sivaji</surname><given-names>P</given-names> </name></person-group><article-title>Translation, cultural adaptation, and validation of the Duke Activity Status Index in the Hindi language</article-title><source>Ann Card Anaesth</source><year>2020</year><volume>23</volume><issue>3</issue><fpage>315</fpage><lpage>320</lpage><pub-id pub-id-type="doi">10.4103/0971-9784.282667</pub-id><pub-id pub-id-type="medline">32687089</pub-id></nlm-citation></ref><ref id="ref28"><label>28</label><nlm-citation citation-type="journal"><person-group person-group-type="author"><name name-style="western"><surname>Atlas</surname><given-names>A</given-names> </name><name name-style="western"><surname>Muru-Lanning</surname><given-names>M</given-names> </name><name name-style="western"><surname>Moyes</surname><given-names>S</given-names> </name><name name-style="western"><surname>Kerse</surname><given-names>N</given-names> </name><name name-style="western"><surname>Jatrana</surname><given-names>S</given-names> </name></person-group><article-title>Cell phone and technology use by octogenarians</article-title><source>J Prim Health Care</source><year>2020</year><month>03</month><volume>12</volume><issue>1</issue><fpage>35</fpage><lpage>40</lpage><pub-id pub-id-type="doi">10.1071/HC19042</pub-id><pub-id pub-id-type="medline">32223848</pub-id></nlm-citation></ref></ref-list></back></article>