Evidence map›Paper›PMID 33765038›Full record

ArticlePloS one2021

Time course and heterogeneity of treatment effect of the collaborative chronic care model on psychiatric hospitalization rates: A survival analysis using routinely collected electronic medical records.

Michael A Ruderman, Bo Kim, Kelly Stolzmann, Samantha Connolly, Christopher J Miller, Mark S Bauer

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Michael A RudermanCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Jamaica Plain, Boston, Massachusetts, United States of America.ORCID 0000-0003-1169-3597
Bo KimCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Jamaica Plain, Boston, Massachusetts, United States of America.
Kelly StolzmannCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Jamaica Plain, Boston, Massachusetts, United States of America.
Samantha ConnollyCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Jamaica Plain, Boston, Massachusetts, United States of America.
Christopher J MillerCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Jamaica Plain, Boston, Massachusetts, United States of America.
Mark S BauerCenter for Healthcare Organization & Implementation Research, VA Boston Healthcare System, Jamaica Plain, Boston, Massachusetts, United States of America.

Funding

The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
HSRD VA QUE 15-289NCATS NIH HHS UL1 TR002541
6 · The paper itself

Abstract

backgroundHealth systems are undergoing widespread adoption of the collaborative chronic care model (CCM). Care structured around the CCM may reduce costly psychiatric hospitalizations. Little is known, however, about the time course or heterogeneity of treatment effects (HTE) for CCM on psychiatric hospitalization. RATIONALE: Assessment of CCM implementation support on psychiatric hospitalization might be more efficient if the timing were informed by an expected time course. Further, understanding HTE could help determine who should be referred for intervention.

objectives(i) Estimate the trajectory of CCM effect on psychiatric hospitalization rates. (ii) Explore HTE for CCM across demographic and clinical characteristics.

methodsData from a stepped wedge CCM implementation trial were reanalyzed using 5 570 patients in CCM treatment and 46 443 patients receiving usual care. Time-to-event data was constructed from routine medical records. Effect trajectory of CCM on psychiatric hospitalization was simulated from an extended Cox model over one year of implementation support. Covariate risk contributions were estimated from subset stratified Cox models without using simulation. Ratios of hazard ratios (RHR) allowed comparison by trial arm for HTE analysis, also without simulation. No standard Cox proportional hazards models were used for either estimating the time-course or heterogeneity of treatment effect.

resultsThe effect of CCM implementation support increased most rapidly immediately after implementation start and grew more gradually throughout the rest of the study. On the final study day, psychiatric hospitalization rates in the treatment arm were 17% to 49% times lower than controls, with adjustment for all model covariates (HR 0.66; 95% CI 0.51-0.83). Our analysis of HTE favored usual care for those with a history of prior psychiatric hospitalization (RHR 4.92; 95% CI 3.15-7.7) but favored CCM for those with depression (RHR 0.61; 95% CI: 0.41-0.91). Having a single medical diagnosis, compared to having none, favored CCM (RHR 0.52; 95% CI 0.31-0.86).

conclusionReduction of psychiatric hospitalization is evident immediately after start of CCM implementation support, but assessments may be better timed once the effect size begins to stabilize, which may be as early as six months. HTE findings for CCM can guide future research on utility of CCM in specific populations.

Indexed as

Electronic Health RecordsHospitalizationLong-Term CareModels, TheoreticalAdolescentAdultAgedChronic DiseaseConfidence IntervalsFemaleFollow-Up StudiesHumansMaleMiddle AgedRisk FactorsSurvival Analysis

Identifiers

PMID33765038
PMCPMC7993804

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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.