Evidence map›Paper›PMID 35786564›Full record

ArticleJournal of medical Internet research2022

Pandemic-Triggered Adoption of Telehealth in Underserved Communities: Descriptive Study of Pre- and Postshutdown Trends.

Pei Xu, Matthew Hudnall, Sidi Zhao, Uzma Raja, Jason Parton, Dwight Lewis

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.8field-weighted citation impact, top 3% 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, 32 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

6 authors at 2 institutions in 1 country.

Pei XuDepartment of Systems and Technology, Auburn University, Auburn, AL, United States.ORCID 0000-0003-0604-7240
Matthew HudnallDepartment of Information Systems, Statistics, and Management Science, University of Alabama, Tuscaloosa, AL, United States.ORCID 0000-0003-3063-2458
Sidi ZhaoDepartment of Systems and Technology, Auburn University, Auburn, AL, United States.ORCID 0000-0002-7823-2077
Uzma RajaDepartment of Systems and Technology, Auburn University, Auburn, AL, United States.ORCID 0000-0001-5791-8566
Jason PartonDepartment of Information Systems, Statistics, and Management Science, University of Alabama, Tuscaloosa, AL, United States.ORCID 0000-0002-6636-1090
Dwight LewisDepartment of Information Systems, Statistics, and Management Science, University of Alabama, Tuscaloosa, AL, United States.ORCID 0000-0002-8557-3558
Auburn University · USUniversity of Alabama · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe adoption of telehealth services has been a challenge in rural communities. The reasons for the slow adoption of such technology-driven services have been attributed to social norms, health care policies, and a lack of infrastructure to support the delivery of services. However, the COVID-19 pandemic-related shutdown of in-person health care services resulted in the usage of telehealth services as a necessity rather than a choice. The pandemic also fast-tracked some needed legislation to allow medical cost reimbursement for remote examination and health care services. As services return to normalcy, it is important to examine whether the usage of telehealth services during the period of a shutdown has changed any of the trends in the acceptance of telehealth as a reliable alternative to traditional in-person health care services.

objectiveOur aim was to explore whether the temporary shift to telehealth services has changed the attitudes toward the usage of technology-enabled health services in rural communities.

methodsWe examined the Medicaid reimbursement data for the state of Alabama from March 2019 through June 2021. Selecting the telehealth service codes, we explored the adoption rates in 3 phases of the COVID-19 shutdown: prepandemic, pandemic before the rollout of mass vaccination, and pandemic after the rollout of mass vaccination.

resultsThe trend in telemedicine claims had an opposite pattern to that in nontelemedicine claims across the 3 periods. The distribution of various characteristics of patients who used telemedicine (age group, gender, race, level of rurality, and service provider type) was different across the 3 periods. Claims related to behavior and mental health had the highest rates of telemedicine usage after the onset of the pandemic. The rate of telemedicine usage remained at a high level after the rollout of mass vaccination.

conclusionsThe current trends indicate that adoption of telehealth services is likely to increase postpandemic and that the consumers (patients), service providers, health care establishments, insurance companies, and state and local policies have changed their attitudes toward telehealth. An increase in the use of telehealth could help local and federal governments address the shortage of health care facilities and service providers in underserved communities, and patients can get the much-needed care in a timely and effective manner.

Indexed as

COVID-19TelemedicineHumansMedicaidPandemicsRural PopulationUnited StatesCOVID-19health care facilityhealth care servicehealth claimhealth insurancehealth serviceMedicaidmental healthrural communitiestechnology adoptiontelehealthtelehealth servicestelemedicineundeserved communityundeserved population

Identifiers

PMID35786564
PMCPMC9290332
OpenAlexW4283789296

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.