Evidence map›Paper›PMID 39015597›Full record

ArticleHCA healthcare journal of medicine2024

Lifestyle Medicine for the Health Care Worker, Workplace, and Community Well-Being: A Butterfly Effect.

Karina Doucet, Nicholas D'Angelo

Abstract readEditorial
In one paragraph

Article in HCA healthcare journal of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

2 authors.

Karina DoucetHCA Florida Orange Park Hospital, Orange Park, FL.
Nicholas D'AngeloHCA Florida Orange Park Hospital, Orange Park, FL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Description Burnout is a prevalent and expensive problem in the US, and the National Plan For Health Workforce Well-Being included a goal to institutionalize well-being as a long-term value. Lifestyle Medicine (LM), an evidence-based practice using behavioral interventions to treat, prevent, and reverse certain chronic conditions, can achieve this goal. Implementing small changes in the workplace that support lifestyle medicine has a butterfly effect on both workplace and community well-being. Furthermore, the health of health care workers (HCWs) and patients improves, and health care costs decrease. This can be done with LM wellness programs or LM training for HCWs. LM wellness programs help the individual HCWs' and patients' well-being through the implementation of the 6 pillars of lifestyle medicine (nutrition, diet, stress reduction, social connection, avoiding/reducing toxins, restorative sleep) on an institutional level. LM initiatives, like LM training, help HCWs and their patients embark on this journey of optimal well-being, disease prevention, treatment, or reversal. Aligning policies to support evidence-based lifestyle changes that improve mood and stress reduction would support restorative rest, leaving HCWs less drained and allowing for more energy to be spent devoted to other lifestyle pillars. The Lifestyle Medicine Residency Curriculum is an example of an LM training program that leads to successful lifestyle change in residents' lives, improving their ability to coach patients. Finally, health care delivery that supports lifestyle medicine, such as shared medical appointments, is in alignment with the trend towards a value-based system for the improvement of public health.

Indexed as

behavioral interventionshealth care workers (HCW)lifestyle medicinewellness programsworkplace health promotion

Identifiers

PMID39015597
PMCPMC11249177

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.