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Skip search results from other journals and go to results- 8 Journal of Medical Internet Research
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Interdisciplinary Pain Rehabilitation Program (IPRP) characteristics.
a IPRP: Interdisciplinary Pain Rehabilitation Program.
b Not applicable.
c Y or N: yes or no.
d FTE: full-time employment.
e FY: fiscal year.
f PROs: patient-reported outcomes.
This evaluation will be promoted to IPRPs using multiple approaches. In October 2023, the study author (CAF) informally presented the project and recruitment process at the monthly VA IPRP Co P call.
JMIR Res Protoc 2025;14:e72091
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Demographic information was examined for veterans in the MR (n=140) and waitlist control (n=136) conditions who completed baseline surveys. Veterans (n=276) had an average age of 56.54 (SD 13.74) years; were primarily male (201/276, 72.8%), White (198/276, 71.7%), non-Hispanic (236/276, 85.5%), and married or partnered (207/276, 75%); had attended or completed college or vocational school (256/276, 92.8%); and reported daily computer (167/276, 60.5%) and internet (222/276, 80.4%) use.
J Med Internet Res 2024;26:e57322
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Dr Haun leads research and operations-based projects on implementation and evaluation of digital care resources to improve VA employee workflows and care coordination for veterans and their informal caregivers. Her work has driven the implementation and redesign of My Healthe Vet, Secure Messaging [32], and the Veterans’ Delegation tool, and extended integration of digital resources in primary care [32-38].
JMIR Res Protoc 2024;13:e59830
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Accordingly, 55 participants will be randomized to each group (N=110). With this sample size, we will have 80% power to detect a Cohen d of 0.50 assuming a correlation of pre- and postintervention scores of 0.50.
The UVA institutional review board (IRB) will be overseeing research activities carried out at all civilian research universities (UVA IRB-SBS Protocol # 6237). The University of South Florida (USF) is the reliance-agreement IRB of the James A.
JMIR Res Protoc 2024;13:e57692
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Primary reasons for ineligibility included inability to contact or uninterested (n=863, 2.7%), no partner (n=310, 1%), unable to perform study tasks (n=81, 0.3%), psychotic disorder or cognitive difficulty (n=32, 0.1%), no pain or PTSD diagnosis (n=29, 0.09%), positive moderate-to-severe TBI screen (n=27, 0.08%), and veteran deceased (n=27, 0.08%). In total, 364 (1.1%) veteran-partner dyads consented for this study. A flow diagram of the veteran-dyad recruitment is presented in Figure 1.
J Med Internet Res 2023;25:e49678
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Data from each IETP participant will be obtained from site leads beginning with Tampa (2015 to present; n=approximately 350). We will obtain identifiers that allow linkage to VA and Do D health system data and create a study crosswalk database behind the VA firewall that includes the encrypted identifier, a study ID, and contact information for interview and survey administration. We will obtain intake and discharge measures from each IETP site.
JMIR Res Protoc 2023;12:e44776
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User Testing of the Veteran Delegation Tool: Qualitative Inquiry
An agreeable subsample (n=3, 2 veterans and 1 care partner) from the initial interview group of 54 participants conducted usability testing with 2 evaluation team members acting as role players.
Demographic information of the Veteran Delegation Tool (VDT) participant sample (N=54).
a A total of 9 participants served dual roles such as veteran and care partner (n=4), veteran and clinical care provider (n=2), and care partner and clinical care provider (n=3).
J Med Internet Res 2023;25:e40634
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When patients were asked to report (to their doctors) their level of adherence with the health recommendations contained in the program’s educational content, on a scale of 1 to 5, with 1 meaning “not following recommendations” and 5 meaning “following recommendations closely,” the mean response was 4.70 (n=15,186) over the 2015-2017 time period. These self-assessments indicated a strong consensus among patients that they were, or intended to be, compliant with recommended treatments.
J Med Internet Res 2019;21(10):e14772
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One female group (n=3) was convened to address woman’s health issues in addition to health conditions. This single group of females represented high-volume HIT users. Two other types of groups were formed: chronic conditions groups (n=7 groups) (eg, chronic obstructive pulmonary disease, diabetes mellitus, high blood pressure) and mental health groups (n=6 groups). These condition groups were then divided into high- and low-volume HIT use groups. See Table 1 for further details.
J Med Internet Res 2017;19(10):e359
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Developing a Health Information Technology Systems Matrix: A Qualitative Participatory Approach
Researchers used teleconference technology to collect initial descriptive data about VA electronic resources from expert panel members (n=34) to inform the development of the HIT Systems Matrix. Electronic mail was used to obtain individual panel member’s responses to the structured pairwise comparison activity. A total of 13 expert panel members completed the pairwise comparison activity.
J Med Internet Res 2016;18(10):e266
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