Evidence map›Paper›PMID 38980716›Full record

ArticleJMIR formative research2024

Evaluation of a Remote Patient Monitoring Program During the COVID-19 Pandemic: Retrospective Case Study With a Mixed Methods Explanatory Sequential Design.

Rose Gunn, Shelby L Watkins, Dave Boston, A Gabriela Rosales, Stefan Massimino, Suparna Navale, Stephanie L Fitzpatrick, John Dickerson, Rachel Gold, George Lee and 1 more

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Implementation of Remote Patient Monitoring for Hypertension Management.Journal of the American Board of Family Medicine : JABFM · 2025
    Article
  2. Factors impacting electronic patient-generated data use in safety-net systems: a qualitative study.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  3. Article
  4. Article
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

11 authors.

Rose GunnOCHIN, Inc, Portland, OR, United States.ORCID https://orcid.org/0000-0002-2673-0699
Shelby L WatkinsOCHIN, Inc, Portland, OR, United States.ORCID https://orcid.org/0000-0001-5742-7361
Dave BostonOCHIN, Inc, Portland, OR, United States.ORCID https://orcid.org/0009-0002-5583-0354
A Gabriela RosalesKaiser Permanente Center for Health Research, Kaiser Permanente, Portland, OR, United States.ORCID https://orcid.org/0009-0008-7247-8560
Stefan MassiminoKaiser Permanente Center for Health Research, Kaiser Permanente, Portland, OR, United States.ORCID https://orcid.org/0009-0005-5395-1947
Suparna NavaleOCHIN, Inc, Portland, OR, United States.ORCID https://orcid.org/0000-0003-0782-8591
Stephanie L FitzpatrickKaiser Permanente Center for Health Research, Kaiser Permanente, Portland, OR, United States.ORCID https://orcid.org/0000-0003-2740-5502
John DickersonKaiser Permanente Center for Health Research, Kaiser Permanente, Portland, OR, United States.ORCID https://orcid.org/0000-0003-1903-3681
Rachel GoldOCHIN, Inc, Portland, OR, United States.ORCID https://orcid.org/0000-0001-6326-5012
George LeeAsian Health Services, Oakland, CA, United States.ORCID https://orcid.org/0009-0004-4278-420X
Carmit K McMullenKaiser Permanente Center for Health Research, Kaiser Permanente, Portland, OR, United States.ORCID https://orcid.org/0000-0001-9445-6591

Funding

Remote Patient Monitoring of Chronic Disease in Community Health Centers (REDUCE)R01NR020305 · NINR · KAISER FOUNDATION RESEARCH INSTITUTE · PI MCMULLEN, CARMIT KURN · 2021 to 2023
$1.7M
NINR NIH HHS R01 NR020305
6 · The paper itself

Abstract

backgroundCommunity health center (CHC) patients experience a disproportionately high prevalence of chronic conditions and barriers to accessing technologies that might support the management of these conditions. One such technology includes tools used for remote patient monitoring (RPM), the use of which surged during the COVID-19 pandemic.

objectiveThe aim of this study was to assess how a CHC implemented an RPM program during the COVID-19 pandemic.

methodsThis retrospective case study used a mixed methods explanatory sequential design to evaluate a CHC's implementation of a suite of RPM tools during the COVID-19 pandemic. Analyses used electronic health record-extracted health outcomes data and semistructured interviews with the CHC's staff and patients participating in the RPM program.

resultsThe CHC enrolled 147 patients in a hypertension RPM program. After 6 months of RPM use, mean systolic blood pressure (BP) was 13.4 mm Hg lower and mean diastolic BP 6.4 mm Hg lower, corresponding with an increase in hypertension control (BP<140/90 mm Hg) from 33.3% of patients to 81.5%. Considerable effort was dedicated to standing up the program, reinforced by organizational prioritization of chronic disease management, and by a clinician who championed program implementation. Noted barriers to implementation of the RPM program were limited initial training, lack of sustained support, and complexities related to the RPM device technology.

conclusionsWhile RPM technology holds promise for addressing chronic disease management, successful RPM program requires substantial investment in implementation support and technical assistance.

Indexed as

chronic conditioncommunity health centerCOVID-19: pandemicdiabetes mellitushypertensionimplementation sciencePatient-generated health datapatient portalremote patient monitoringself-managementtelehealthtelemedicine

Identifiers

PMID38980716
PMCPMC11267095

What OpenQuestion holds

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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 OpenQuestion graph.