Evidence map›Paper›PMID 42145335›Full record

ArticleDigital health

Exploring the impact of digital care delivery for patients with diabetes and hypertension: A longitudinal qualitative study.

Matthew D Dalstrom, Colleen J Klein, Deanna Latino, Melinda Cooling

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Matthew D DalstromGraduate Program, Saint Anthony College of Nursing, Rockford, IL, USA.ORCID https://orcid.org/0000-0002-4228-8466
Colleen J KleinCenter for Advanced Practice, OSF HealthCare, Peoria, IL, USA.ORCID https://orcid.org/0000-0002-9666-5837
Deanna LatinoGraduate Program, Saint Anthony College of Nursing, Rockford, IL, USA.
Melinda CoolingChief Clinician Executive, OSF OnCall; Senior Vice President, Advanced Practice OSF HealthCare, College of Health Sciences, OSF HealthCare, Peoria, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes and hypertension disproportionately affect socioeconomically disadvantaged populations. Telehealth programs offer opportunities to improve access, engagement, and outcomes, yet little is known about patients' experiences or their impact on patient-reported outcomes. This study focuses on the OnCall Advanced Care (OCAC) program, a high-touch telehealth model that combines remote monitoring, nurse-led support, and 24/7 access to clinical staff. Aim: To identify the patient-reported outcomes of the OCAC program and assess whether participation improves patients' perceptions of diabetes and hypertension management over time. Design: Longitudinal, qualitative research design using semi-structured interviews. Methods: Patients diagnosed with diabetes and/or hypertension and enrolled in the program were recruited via text, letter, and/or phone. Three semi-structured interviews were conducted at around the time of enrollment, 3-4 months, and 6-9 months post-enrollment. Interviews lasted 30-70 minutes and were thematically analyzed. Results: Thirty-eight patients completed the first interview, 29 the second, and 18 the third. Five major themes emerged: Conclusion: Telehealth programs can have a positive influence on patient behavior change and health outcomes. This highlights the importance of further investigating telehealth implementation and patient-reported outcomes.

Indexed as

diabetesdigital healthhypertensionMedicaidpatient-reported outcomestelehealth

Identifiers

PMID42145335
PMCPMC13172722

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.