Evidence map›Paper›PMID 35848763›Full record

ArticleHealth services research2023

Short-term effects of comprehensive caregiver supports on caregiver outcomes.

Katherine E M Miller, Courtney H Van Houtven, Erin E Kent, Donna Gilleskie, G Mark Holmes, Valerie A Smith, Sally C Stearns

Open access · greenAbstract read
In one paragraph

Article in Health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 11% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Katherine E M MillerDurham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Virginia Health Care System, Durham, North Carolina, USA.ORCID 0000-0002-6726-2369
Courtney H Van HoutvenDurham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Virginia Health Care System, Durham, North Carolina, USA.ORCID 0000-0002-0783-1611
Erin E KentDepartment of Health Policy and Management, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Donna GilleskieDepartment of Economics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
G Mark HolmesDepartment of Health Policy and Management, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-6169-7847
Valerie A SmithDurham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Virginia Health Care System, Durham, North Carolina, USA.ORCID 0000-0001-5170-9819
Sally C StearnsDepartment of Health Policy and Management, Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
University of North Carolina at Chapel Hill · USDuke University · US

Funding

VA Caregiver Support Evaluation Center (VA-CARES Evaluation Center)I50HX001676 · VA · DURHAM VA MEDICAL CENTER · PI VAN HOUTVEN, COURTNEY HAROLD · 2015 to 2023
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HSRD VA I50 HX001676
6 · The paper itself

Abstract

objectiveTo estimate the association of the Veterans Health Administration (VHA) Program of Comprehensive Assistance for Family Caregivers (PCAFC) implemented in 2011 with caregiver health and health care use. DATA SOURCES: VHA claims and electronic health records from May 2009 to May 2018. STUDY

designUsing a retrospective, pre-post study design with inverse probability of treatment weights to address selection into treatment, we examine the association of PCAFC on caregivers who are veterans: (1) outpatient primary, specialty, and mental health care visits; (2) probability of uncontrolled hypertension and anxiety/depression; and (3) VHA health care costs. We compare outcomes for caregivers approved for PCAFC (treatment) to caregivers denied PCAFC (comparison). DATA COLLECTION/EXTRACTION

methodsNot applicable. PRINCIPAL

findingsIn the year pre-application, we observe similar probabilities of having any VHA primary care (~36%), VHA specialty care (~24%), and VHA or VHA-purchased mental health care (~22%) for treatment and comparison caregivers. In the year post-application, treated caregivers had a 5.89 percentage point larger probability of any outpatient VHA primary care (p = 0.002) and 4.34 percentage points larger probability of any outpatient mental health care use (p = 0.014). Post-application, probabilities of having uncontrolled hypertension or diagnosed anxiety/depression were higher for both treated and comparison groups. In the second year post-application, treated caregivers had a 1.88 percentage point larger probability of uncontrolled hypertension (p = 0.019) and 4.68 percentage points larger probability of diagnosed anxiety/depression (predicted probabilities: treated = 0.30; comparison = 0.25; p = 0.005). We find no evidence of differences in VHA total costs by PCAFC status.

conclusionsOur findings that PCAFC enrollment is associated with increased health care diagnosis and service use may reflect improved access for previously unmet needs in the population of veteran caregivers for veterans in PCAFC. The costs and value of these increases can be weighed against other effects of the program to inform national policies supporting caregivers.

Indexed as

CaregiversVeteransHealth Care CostsHumansRetrospective StudiesUnited StatesUnited States Department of Veterans Affairsaccess to careanxietycaregiversdepressionhealth care costsveterans

Identifiers

PMID35848763
PMCPMC10501334
OpenAlexW4285726396

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.