Evidence map›Paper›PMID 37291554›Full record

ArticleBMC health services research2023

Factors affecting the implementation of employee whole health in the veterans health administration: a qualitative evaluation.

Omonyêlé L Adjognon, Adena Cohen-Bearak, Jenesse Kaitz, Barbara G Bokhour, Leslie Chatelain, Martin P Charns, David C Mohr

Open access · goldAbstract read
In one paragraph

Article in BMC 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
1.7field-weighted citation impact, top 15% 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, 4 citations in OpenAlex.

  1. Article
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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 5 institutions in 1 country.

Omonyêlé L AdjognonCenter for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, MA, USA.
Adena Cohen-BearakCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System , Bedford, MA, USA.
Jenesse KaitzVA Puget Sound Healthcare System, Seattle, WA, USA.
Barbara G BokhourCenter for Healthcare Organization and Implementation Research, VA Bedford Healthcare System , Bedford, MA, USA.
Leslie ChatelainCenter for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, MA, USA.
Martin P CharnsCenter for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, MA, USA.
David C MohrCenter for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, MA, USA. David.Mohr2@va.gov.
Boston University · USUniversity of Massachusetts Chan Medical School · USVA Boston Healthcare System · USVA New England Healthcare System · USVA Puget Sound Health Care System · US

Funding

HSRD VA PEC 13-001US Department of Veterans Affairs, Office of Patient-Centered Care and Cultural Transformation, and Quality Enhancement Research Initiative PEC13-001
6 · The paper itself

Abstract

backgroundThere is increasing recognition of the need to focus on the health and well-being of healthcare employees given high rates of burnout and turnover. Employee wellness programs are effective at addressing these issues; however, participation in these programs is often a challenge and requires large scale organizational transformation. The Veterans Health Administration (VA) has begun to roll out their own employee wellness program-Employee Whole Health (EWH)-focused on the holistic needs of all employees. This evaluation's goal was to use the Lean Enterprise Transformation (LET) model for organizational transformation to identify key factors-facilitators and barriers-affecting the implementation of VA EWH.

methodsThis cross-sectional qualitative evaluation based on the action research model reflects on the organizational implementation of EWH. Semi-structured 60-minute phone interviews were conducted in February-April 2021 with 27 key informants (e.g., EWH coordinator, wellness/occupational health staff) knowledgeable about EWH implementation across 10 VA medical centers. Operational partner provided a list of potential participants, eligible because of their involvement in EWH implementation at their site. The interview guide was informed by the LET model. Interviews were recorded and professionally transcribed. Constant comparative review with a combination of a priori coding based on the model and emergent thematic analysis was used to identify themes from transcripts. Matrix analysis and rapid turnaround qualitative methods were used to identify cross-site factors to EWH implementation.

resultsEight common factors in the conceptual model were found to facilitate and/or hinder EWH implementation efforts: [1] EWH initiatives, [2] multilevel leadership support, [3] alignment, [4] integration, [5] employee engagement, [6] communication, [7] staffing, and [8] culture. An emergent factor was [9] the impact of the COVID-19 pandemic on EWH implementation.

conclusionsAs VA expands its EWH cultural transformation nationwide, evaluation findings can (a) enable existing programs to address known implementation barriers, and (b) inform new sites to capitalize on known facilitators, anticipate and address barriers, and leverage evaluation recommendations through concerted implementation at the organization, process, and employee levels to jump-start their EWH program implementation.

Indexed as

COVID-19Occupational HealthVeteransCross-Sectional StudiesHumansPandemicsQualitative ResearchUnited StatesUnited States Department of Veterans AffairsVeterans HealthChange managementEmployee wellnessHealth promotionHolistic healthOccupational health

Identifiers

PMID37291554
PMCPMC10249921
OpenAlexW4379931702

What OpenQuestion holds

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LicenceCC BY
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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.