Evidence map›Paper›PMID 37976468›Full record

ArticleJournal of medical Internet research2024

Optimizing Telehealth for Diabetes Management in the Deep South of the United States: Qualitative Study of Barriers and Facilitators on the Patient and Clinician Journey.

Alessandra N Bazzano, Tejal Patel, Elizabeth Nauman, Dana Cernigliaro, Lizheng Shi

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 4% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Alessandra N BazzanoDepartment of Social, Behavioral, and Population Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.ORCID 0000-0002-8299-2626
Tejal PatelDepartment of Social, Behavioral, and Population Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.ORCID 0000-0001-7495-9220
Elizabeth NaumanLouisiana Public Health Institute, New Orleans, LA, United States.ORCID 0009-0008-8092-7071
Dana CernigliaroPublic Health Innovation and Action, New York, NY, United States.ORCID 0000-0002-0214-0328
Lizheng ShiDepartment of Health Policy and Management, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States.ORCID 0000-0002-7827-6766
Tulane University · USLouisiana Public Health Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Deep South of the United States, and Louisiana in particular, bears a greater burden of obesity, diabetes, and heart disease compared with other regions in the United States. Throughout the COVID-19 pandemic, there has been a substantial increase in telehealth visits for diabetes management to protect the safety of patients. Although there have been significant advancements in telehealth and chronic disease management, little is known about patient and provider perspectives on the challenges and benefits of telehealth visits among people living with diabetes and providers who care for patients with diabetes in Louisiana.

objectiveThis study aimed to explore barriers, facilitators, challenges, and benefits to telehealth for patients with diabetes and health care providers as they transitioned from in-person to remote care during the early COVID-19 pandemic to understand potential optimization.

methodsA total of 24 semistructured qualitative interviews were conducted with 18 patients living with diabetes and 6 clinicians who served patients with diabetes to explore their experiences and perceptions of telehealth services for diabetes care. Approximately half of the participants identified as Black or African American, half as White, and 75% as female. Interviews were recorded, transcribed, and coded by experienced qualitative researchers using inductive and deductive techniques. A narrative, descriptive approach to the patient and clinician journey framed the study, including the development of internal journey maps, and reflexive thematic analysis was applied to the transcripts, with special attention to barriers and facilitators.

resultsIn total, 5 themes illustrated barriers and facilitators for participants: convenience, safety, and comfort are the benefits of telehealth for patients and clinicians; yet telehealth and in-person visits are valued differently; the convenience of telehealth may have a downside; technology acts as a double-edged sword; and managing expectations and efficiency of the visit experience was an important factor. Individual experiences varied in relation to several factors, including comfort level and access to technology, health system protocols for providing telemedicine, and level of diabetes control among patients.

conclusionsRecommendations for optimization include providing support to help guide and inform patients about what to expect and how to prepare for telehealth visits as well as allowing clinicians to schedule telehealth and in-person visits during discrete blocks of time to improve efficiency. Further research should address how hybrid models of telehealth and in-person care may differentially impact health outcomes for patients with diabetes, particularly for people with multiple chronic conditions in settings where access to technology and connectivity is not optimal.

Indexed as

Diabetes MellitusTelemedicineBlack or African AmericanCOVID-19FemaleHumansMalePandemicsQualitative ResearchUnited StatesWhitechronic diseaseCOVID-19delivery of health carediabetes mellitusmobile phonepatient participationtelemedicine

Identifiers

PMID37976468
PMCPMC10790202
OpenAlexW4388778504

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.