Evidence map›Paper›PMID 34332467›Full record

ArticleInternational journal of medical informatics2021

Telehealth in US hospitals: State-level reimbursement policies no longer influence adoption rates.

Michal Gaziel-Yablowitz, David W Bates, David M Levine

Abstract read
In one paragraph

Article in International journal of medical informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Associations Between Telemedicine Use Barriers, Organizational Factors, and Physician Perceptions of Care Quality.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Telemedicine Lessons Learned During the COVID-19 Pandemic.Current allergy and asthma reports · 2022
    Review
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

3 authors.

Michal Gaziel-YablowitzDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: mgaziel-yablowitz@bwh.harvard.edu.
David W BatesDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Health Care Policy and Management, Harvard Chan School of Public Health, Boston, MA, USA.
David M LevineDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrior to COVID-19, levels of adoption of telehealth were low in the U.S., though they exploded during the pandemic. Following the pandemic, it will be critical to identify the characteristics that were associated with adoption of telehealth prior to the pandemic as key drivers of adoption and outside of a public health emergency. MATERIALS AND

methodsWe examined three data sources: The American Telemedicine Association's 2019 state telehealth analysis, the American Hospital Association's 2018 annual survey of acute care hospitals and its Information Technology Supplement. Telehealth adoption was measured through five telehealth categories. Independent variables included seven hospital characteristics and five reimbursement policies. After bivariate comparisons, we developed a multivariable model using logistic regression to assess characteristics associated with telehealth adoption.

resultsAmong 2923 US hospitals, 73% had at least one telehealth capability. More than half of these hospitals invested in telehealth consultation services and stroke care. Non-profit hospitals, affiliated hospitals, major teaching hospitals, and hospitals located in micropolitan areas (those with 10-50,000 people) were more likely to adopt telehealth. In contrast, hospitals that lacked electronic clinical documentation, were unaffiliated with a hospital system, or were investor-owned had lower odds of adopting telehealth. None of the statewide policies were associated with adoption of telehealth.

conclusionsTelehealth policy requires major revisions soon, and we suggest that these policies should be national rather than at the state level. Further steps as incentivizing rural hospitals for adopting interoperable systems and expanding RPM billing opportunities will help drive adoption, and promote equity.

Indexed as

COVID-19TelemedicineHospitalsHumansPolicySARS-CoV-2United StatesGovernment regulationHealthcare costsHealth policyMedical informaticsQuality of healthcare

Identifiers

PMID34332467
PMCPMC9760418

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.