e.g. mhealth
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Skip search results from other journals and go to results- 23 Journal of Medical Internet Research
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The main results showed that the CAPRI group (n=272) showed a significant improvement in RDI (93.4% vs 89.4%; P=.04), an enhanced patient experience (Patient Assessment of Chronic Illness Care score 2.94 vs 2.67; P=.01), reduced hospitalization length (2.82 vs 4.44 days; P=.02), and decreased grade ≥3 toxicities (27.6% vs 36.9%; P=.02).
This study is an ancillary analysis of the 272 patients included in the CAPRI intervention arm.
J Med Internet Res 2025;27:e66275
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Additionally, patients with HF frequently require hospitalization due to acute exacerbations of the disease, making HF the leading cause of hospitalization for individuals older than 65 years in Europe [2,5-7]. The frequency of hospitalizations is strongly associated with disease progression and increases the mortality risk in this patient population [2,5,7,8].
J Med Internet Res 2025;27:e67228
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By using data from the i CAN RCT and other available resources, this economic evaluation determined that implementing the i CAN m Health intervention for people experiencing homelessness in a metropolitan area provides financial cost-benefit if 1 hospitalization or 2 ED visits can be avoided. Future studies should explore the feasibility of implementing the i CAN m Health intervention using data from the completed i CAN RCT to limit uncertainty in the cost of scaling up the intervention.
JMIR Form Res 2025;9:e64973
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We analyzed hospitalization data from January 1, 2012, to December 17, 2016 (we excluded the last 2 weeks of 2016 due to unavailable information on discharges in Portugal and Brazil—as many patients admitted toward the end of 2016 were discharged in 2017). In the 3 countries under investigation, we examined all hospitalizations in which asthma was identified as the primary diagnosis.
J Med Internet Res 2025;27:e51804
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Model 1 entered possible variables based on data from the first day of hospitalization, and Model 2 selected variables based on data from the entire period of hospitalization. All variables were selected based on prior literature and entered through stepwise feature selection [14,15].
Table 1 displays all the input variables according to Models 1 and 2.
JMIR Med Inform 2025;13:e56671
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Without considering the hospitalization service type, costs varied by approximately 28%-35% for the ≥65 years age group.
Our analysis of the method’s travel parameters found that a 10% variation in distance and duration resulted in a change in cost ranging from $2-$8 for patients aged 0-14, $2-$10 for patients aged 15-64 years, and $1-$6 for patients aged ≥65 years. The magnitude of variation remained consistent across all service types.
J Med Internet Res 2025;27:e56766
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Upon completion of data imputation, information pertaining to the medications administered to patients during their hospitalization was reintegrated into the data set. Subsequently, a meticulous examination of the data ensued, whereby instances containing missing values were enumerated. Encouragingly, the incidence of such instances was minimal, facilitating their straightforward removal from the data set.
JMIR Med Inform 2024;13:e58812
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These empiric findings implicate health-seeking behavior as a possible driver of health disparities for those living with diabetes and a possible marker forecasting poor coping with illness situations leading to increased risk for hospitalization and readmission.
JMIR Diabetes 2024;9:e63434
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Hospitalized patients with COVID-19 generated a high level of health care resource use (HRU) during hospitalization, with more than one-third of inpatients also requiring specific health care services after discharge [4].
JMIR Public Health Surveill 2024;10:e56398
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Additionally, the use of health care resources, comprising the number of patients and visits to primary care physicians, specialists, emergency rooms, and hospitalization, was extracted from administrative records sourced from primary care health care centers, hospital outpatient clinics, emergency departments, and hospitalization units.
Study design.
JMIR Public Health Surveill 2024;10:e53580
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