Evidence map›Paper›PMID 40319230›Full record

ArticleBMC pregnancy and childbirth2025

Using RE-AIM to inform the adaptation of a clinical decision support application for hypertension disorders of pregnancy: a qualitative study of provider perspectives.

Shannon Marie Canfield, Yarrow Stanley, Parijat Ghosh, Amy Braddock, Randi Foraker

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Article in BMC pregnancy and childbirth, 2025. 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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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.

Shannon Marie CanfieldDepartment of Family and Community Medicine, University of Missouri, 1 Hospital Drive, M224 Medical Sciences, Bldg., Columbia, MO, 65212, USA. canfieldsm@health.missouri.edu.
Yarrow StanleyDepartment of Family and Community Medicine, University of Missouri, 1 Hospital Drive, M224 Medical Sciences, Bldg., Columbia, MO, 65212, USA.
Parijat GhoshDepartment of Family and Community Medicine, University of Missouri, 1 Hospital Drive, M224 Medical Sciences, Bldg., Columbia, MO, 65212, USA.
Amy BraddockDepartment of Family and Community Medicine, University of Missouri, 1 Hospital Drive, M224 Medical Sciences, Bldg., Columbia, MO, 65212, USA.
Randi ForakerDepartment of Biomedical Informatics, Biostatistics and Medical Epidemiology, University of Missouri, 810 Rollins St., Math and Sciences Bldg. 119, Columbia, MO, 65211, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertensive disorders of pregnancy (HDP) are significant contributors to maternal morbidity and mortality in the United States, which has one of the highest maternal mortality rates among high-income nations. Home blood pressure monitoring (HBPM) offers promise for improving care, but its integration into workflows is poorly understood. This study explores clinicians' perspectives and identifies implementation challenges for an HDP-specific app.

methodsWe used a snowball approach to invite perinatal clinicians at a large academic health center to participate in qualitative interviews focused on HBPM practices, data integration into electronic health records (EHRs), and adapting a Collaboration Oriented Approach to Controlling High Blood Pressure (COACH) application for perinatal care (P-COACH). A team of researchers used a hybrid qualitative approach to deductively apply the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework to data collection, organization, and presentation of results. An inductive approach was then used to identify themes within each RE-AIM domain.

resultsSeven participants highlighted the app's potential to expand care access, particularly for underserved populations, where factors such as rural clinic closures and transportation are barriers. Home BP monitoring could aid in timely risk assessment, early detection of complications, and medication adjustments. Pregnancy was seen as a unique opportunity to encourage health behavior changes. Concerns included liability, alert fatigue, and patient anxiety. Successful implementation requires seamless integration with the patient and clinical workflows, appropriate alerts, and considering end-user needs. DISCUSSION: Digital health tools like COACH have broader applicability in addressing gaps in chronic disease management, leveraging patient-generated data to improve care quality and efficiency. Clinicians noted that such tools could alleviate perinatal provider workload by reducing unnecessary visits and timely interventions. However, challenges like integrating tools into complex workflows, overcoming usability barriers, and addressing resource disparities must be prioritized. Future efforts should consider tailoring tools to ensure cultural and contextual relevance to promote equitable adoption and sustained engagement.

conclusionsAdapting P-COACH offers a unique opportunity to address gaps in hypertension care during pregnancy. By focusing on equitable implementation and scalability, future work can refine this tool to improve outcomes, ensure sustainability, and enhance support for underserved populations, ultimately advancing maternal health in diverse clinical settings. CLINICAL TRIAL NUMBER: Not Applicable.

Indexed as

Attitude of Health PersonnelDecision Support Systems, ClinicalHypertension, Pregnancy-InducedMobile ApplicationsAdultBlood Pressure Monitoring, AmbulatoryFemaleHumansPerinatal CarePregnancyQualitative ResearchAmbulatoryBlood pressure monitoringClinical decision support systemsDigital healthElectronic health recordsHealth equityHypertensionPatient-Generated health dataPerinatal carePregnancy-Induced

Identifiers

PMID40319230
PMCPMC12049031

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.