Evidence map›Paper›PMID 37775953›Full record

Trial reportHealth services research2024

Greater Covid-19 vaccine uptake among enrollees offered health and social needs case management: Results from a randomized trial.

Margae Knox, Elizabeth A Hernandez, Daniel M Brown, Jennifer Ahern, Mark D Fleming, Crystal Guo, Amanda L Brewster

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Health services research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

7 authors.

Margae KnoxSchool of Public Health, University of California, Berkeley, Berkeley, California, USA.ORCID 0000-0002-5234-8610
Elizabeth A HernandezContra Costa Health, Contra Costa County, Martinez, California, USA.
Daniel M BrownCarelon Digital, Palo Alto, California, USA.
Jennifer AhernSchool of Public Health, University of California, Berkeley, Berkeley, California, USA.ORCID 0000-0002-3853-9760
Mark D FlemingSchool of Public Health, University of California, Berkeley, Berkeley, California, USA.ORCID 0000-0002-3037-704X
Crystal GuoSchool of Public Health, University of California, Berkeley, Berkeley, California, USA.ORCID 0000-0002-1849-4876
Amanda L BrewsterSchool of Public Health, University of California, Berkeley, Berkeley, California, USA.ORCID 0000-0003-4024-5830

Funding

UC Berkeley-UCSF Health Services Research Training ProgramT32HS022241 · AHRQ · UNIVERSITY OF CALIFORNIA BERKELEY · PI RODRIGUEZ, HECTOR P. · 2013 to 2024
$3.2M
The Effectiveness of Patient Navigation to Address Social and Behavioral Health Needs for Emergency Department High Utilizers.K01HS027648 · AHRQ · UNIVERSITY OF CALIFORNIA BERKELEY · PI FLEMING, MARK · 2020 to 2024
$787k
Agency for Healthcare Research and Quality K01HS027648Agency for Healthcare Research and Quality T32HS022241AHRQ HHS K01 HS027648AHRQ HHS T32 HS022241Georgia Institute for Health Policy, Aligning Systems for Health
6 · The paper itself

Abstract

objectiveTo investigate Covid-19 vaccination as a potential secondary public health benefit of case management for Medicaid beneficiaries with health and social needs. DATA SOURCES AND STUDY

settingThe CommunityConnect case management program for Medicaid beneficiaries is run by Contra Costa Health, a county safety net health system in California. Program enrollment data were merged with comprehensive county vaccination records. STUDY

designIndividuals with elevated risk of hospital and emergency department use were randomized each month to a case management intervention or usual care. Interdisciplinary case managers offered coaching, community referrals, healthcare connections, and other support based on enrollee interest and need. Using survival analysis with intent-to-treat assignment, we assessed rates of first-dose Covid-19 vaccination from December 2020 to September 2021. In exploratory sub-analyses we also examined effect heterogeneity by gender, race/ethnicity, age, and primary language. DATA COLLECTION AND EXTRACTION

methodsData were extracted from county and program records as of September 2021, totaling 12,866 interventions and 25,761 control enrollments. PRINCIPAL

findingsApproximately 58% of enrollees were female and 41% were under age 35. Enrollees were 23% White, 12% Asian/Pacific Islander, 20% Black/African American, and 36% Hispanic/Latino, and 10% other/unknown. Approximately 35% of the intervention group engaged with their case manager. Approximately 56% of all intervention and control enrollees were vaccinated after 9 months of analysis time. Intervention enrollees had a higher vaccination rate compared to control enrollees (adjusted hazard ratio [aHR]: 1.06; 95% confidence interval [CI]: 1.02-1.10). In sub-analyses, the intervention was associated with stronger likelihood of vaccination among males and individuals under age 35.

conclusionsCase management infrastructure modestly improved Covid-19 vaccine uptake in a population of Medicaid beneficiaries that over-represents social groups with barriers to early Covid-19 vaccination. Amidst mixed evidence on vaccination-specific incentives, leveraging trusted case managers and existing case management programs may be a valuable prevention strategy.

Indexed as

Case ManagementCOVID-19COVID-19 VaccinesMedicaidAdultAgedCaliforniaFemaleHumansMaleMiddle AgedSARS-CoV-2United StatesVaccinationYoung AdultCOVID-19 Vaccinescase managementcomplex careCovid‐19 vaccinationMedicaidsocial needssurvival analysisvaccine uptake

Identifiers

PMID37775953
PMCPMC11366961

What OpenQuestion holds

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LicenceCC BY-NC
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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.