Evidence map›Paper›PMID 28924747›Full record

SynthesisJournal of general internal medicine2017

Effectiveness of Intensive Primary Care Interventions: A Systematic Review.

Samuel T Edwards, Kim Peterson, Brian Chan, Johanna Anderson, Mark Helfand

Registry-linked trialAbstract readSystematic Review
In one paragraph

Synthesis in Journal of general internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07587073 (A Pragmatic Cluster-Randomized Evaluation of Enhanced Care Management With Community Supports, Transitional Care, and Residential Care Coordination for High-Risk Medi-Cal Members Under CalAIM in California), which is not on this map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing 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.

NCT07587073 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

A Pragmatic Cluster-Randomized Evaluation of Enhanced Care Management With Community Supports, Transitional Care, and Residential Care Coordination for High-Risk Medi-Cal Members Under CalAIM in California

TypeinterventionalSponsorStratiHealthRan2026 to 2028Enrolled1,200ConditionsComplex Care, Post-Acute Care Utilization, Housing Instability, Residential Care TransitionArmsComprehensive CalAIM Care Bundle, Usual CalAIM Service Delivery
3 · Its place in the literature

Who cites it

47 citing papers in PubMed.

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  16. Primary care services and emergency department visits in blended fee-for-service and blended capitation models: evidence from Ontario, Canada.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
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  17. Article
  18. Caring for high-need patients.BMC health services research · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Samuel T EdwardsSection of General Internal Medicine, VA Portland Health Care System, Portland, OR, USA. samuel.edwards@va.gov.
Kim PetersonEvidence-based Synthesis Program (ESP) Coordinating Center, VA Portland Health Care System, Portland, OR, USA.
Brian ChanDivision of General Internal Medicine and Geriatrics, Oregon Health & Science University, Portland, OR, USA.
Johanna AndersonEvidence-based Synthesis Program (ESP) Coordinating Center, VA Portland Health Care System, Portland, OR, USA.
Mark HelfandSection of General Internal Medicine, VA Portland Health Care System, Portland, OR, USA.

Funding

Oregon Patient Centered Outcomes Research K12 ProgramK12HS022981 · AHRQ · OREGON HEALTH & SCIENCE UNIVERSITY · PI GUISE, JEANNE-MARIE · 2014 to 2018
$4.1M
AHRQ HHS K12 HS022981
6 · The paper itself

Abstract

backgroundMulticomponent, interdisciplinary intensive primary care programs target complex patients with the goal of preventing hospitalizations, but programs vary, and their effectiveness is not clear. In this study, we systematically reviewed the impact of intensive primary care programs on all-cause mortality, hospitalization, and emergency department use.

methodsWe searched PubMed, CINAHL, the Cochrane Central Register of Controlled Trials, and the Cochrane Database of Reviews of Effects from inception to March 2017. Additional studies were identified from reference lists, hand searching, and consultation with content experts. We included systematic reviews, randomized controlled trials (RCTs), and observational studies of multicomponent, interdisciplinary intensive primary care programs targeting complex patients at high risk of hospitalization or death, with a comparison to usual primary care. Two investigators identified studies and abstracted data using a predefined protocol. Study quality was assessed using the Cochrane risk of bias tool.

resultsA total of 18 studies (379,745 participants) were included. Three major intensive primary care program types were identified: primary care replacement (home-based; three RCTs, one observational study, N = 367,681), primary care replacement (clinic-based; three RCTs, two observational studies, N = 9561), and primary care augmentation, in which an interdisciplinary team was added to existing primary care (five RCTs, three observational studies, N = 2503). Most studies showed no impact of intensive primary care on mortality or emergency department use, and the effectiveness in reducing hospitalizations varied. There were no adverse effects reported. DISCUSSION: Intensive primary care interventions demonstrated varying effectiveness in reducing hospitalizations, and there was limited evidence that these interventions were associated with changes in mortality. While interventions could be grouped into categories, there was still substantial overlap between intervention approaches. Further work is needed to identify program features that may be associated with improved outcomes.

Indexed as

Delivery of Health Care, IntegratedHome Care ServicesHospitalizationHumansModels, OrganizationalPrimary Health CareProgram Evaluationcare managementcomorbidityhome careprimary careprimary care redesign

Identifiers

PMID28924747
PMCPMC5698228

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.