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Skip search results from other journals and go to results- 2 JMIR Formative Research
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Two studies focused on AF surveyed specific populations, with one study conducted at an academic medical center that stratified survey participants by those diagnosed with AF (n=327) and those at risk of AF (n=895), defined as being aged ≥65 years with a CHA2 DS2-VASc score of >2 [45]. The other study was conducted among patients with AF by a patient advocacy organization (N=763) [46].
JMIR Cardio 2023;7:e47292
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Telehealth Impact in Frontier Critical Access Hospitals: Mixed Methods Evaluation
We compared the telehealth service use patterns among the participating CAHs (n=8 hospitals) with those of all other CAHs in Montana, Nevada, and North Dakota that did not participate in the demonstration and were also billed for telehealth services during the demonstration period (n=38 hospitals).
JMIR Form Res 2023;7:e49591
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Descriptive statistics for demographic and clinical data are reported as number (n) and percentage (%) of the cohort for categorical variables. For continuous variables, data are reported as mean (SD) for data with normal distributions and as median (IQR) for data with nonnormal distributions. SAS software (version 9.4; SAS Institute) was used for 2-tailed Student t tests for the analysis of CGM metrics. A P value of ≤.05 was considered statistically significant.
JMIR Diabetes 2022;7(4):e38869
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Furthermore, this work focuses on a small number of participating CAHs (n=8) in three states. Each of these CAHs was in a designated frontier area; therefore, the population was less dense than is generally found in rural areas. Each CAH has different internal and community resources available that may affect the successful implementation of telehealth. In addition, all of the CAHs were in the western part of the country. These factors may impact generalizability to other rural areas.
JMIR Form Res 2021;5(5):e24118
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Barriers and Facilitators to Genetic Service Delivery Models: Scoping Review
Interact J Med Res 2021;10(1):e23523
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