Evidence map›Paper›PMID 38286565›Full record

ArticleBMJ open quality2024

Coming back for more: factors linked to higher participation among Veterans with chronic pain in an innovative VA-YMCA wellness clinic.

Alaina K Preddie, Claire E Donnelly, Edward J Miech, Laura J Myers, Linda S Williams, Teresa M Damush

Abstract read
In one paragraph

Article in BMJ open quality, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alaina K PreddieVA Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, Indiana, USA alaina.preddie@va.gov.ORCID 0000-0003-3462-7939
Claire E DonnellyVA Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, Indiana, USA.ORCID 0009-0003-4063-4219
Edward J MiechVA Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, Indiana, USA.
Laura J MyersVA Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, Indiana, USA.
Linda S WilliamsVA Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, Indiana, USA.
Teresa M DamushVA Health Services Research and Development (HSR&D) Expanding Expertise Through E-health Network Development (EXTEND) Quality Enhancement Research Initiative (QUERI), Indianapolis, Indiana, USA.

Funding

EXTEND: EXpanding expertise Through E-health Network DevelopmentI50HX003205 · VA · RLR VA MEDICAL CENTER · PI BRAVATA, DAWN MARIE, DAMUSH, TERESA M. · 2021 to 2021
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Damush HSR&D Research Career Scientist Award ApplicationIK6HX002715 · VA · RLR VA MEDICAL CENTER · PI DAMUSH, TERESA M. · 2020 to 2024
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HSRD VA I50 HX003205HSRD VA IK6 HX002715
6 · The paper itself

Abstract

In 2019, the Indianapolis VA developed a Wellness Clinic in partnership with the Young Men's Christian Associations (YMCA) to comprehensively address Veterans' chronic pain. Our specific aims were twofold: (1) to evaluate the implementation of the Veterans Health Indiana (VHI) Wellness Clinic on patient utilisation and (2) to evaluate patient functioning.We conducted a mixed-methods evaluation, which included the extraction of VA administrative data to identify a patient cohort; the conduct of chart review to extract clinic utilisation, clinical outcomes collected during pain-related healthcare services and comorbidities; and semistructured interviews with Veteran patients who used the VHI Wellness Clinic in different patterns to identify challenges and facilitators to clinic utilisation. We applied configurational analysis to a Veteran sample who had their first visit to the VHI Wellness Clinic in March/April 2019 to pinpoint difference-making factors linked to Veterans' successful participation.The cohort included 312 Veterans (83% male), mean age of 55.4 years. The configurational model included six factors: participation in physical therapy, pain psychology or pain education sessions (22%); presence of any 'no-shows' (57% had 0); history of depression (39%) and clinic referral source (51% self-referred from primary care). The model consisted of four different pathways to successful participation, explaining 60% of cases in the higher-participation group with 86% consistency. Patient outcomes after clinic utilisation demonstrated a significant reduction in self-reported pain and pain catastrophising across time. Moreover, patients reported distance to clinic as both a facilitator and challenge.This mixed-methods analysis identified specific biopsychosocial factors and clinical services directly linked to higher Veteran participation in a new VA-YMCA Wellness Clinic. The VHI Wellness Clinic embedded within a YMCA facility is a feasible and efficacious healthcare delivery model for primary care patients experiencing chronic pain. Additional marketing to clinical providers for referrals and to patients to extend its reach is needed.

Indexed as

Chronic PainVeteransFemaleHumansMaleMiddle AgedSelf ReportUnited StatesUnited States Department of Veterans AffairsImplementation sciencePainQuality improvement

Identifiers

PMID38286565
PMCPMC10826581

What OpenQuestion holds

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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.