Evidence map›Paper›PMID 30045864›Full record

SynthesisBMJ quality & safety2019

Characteristics of healthcare organisations struggling to improve quality: results from a systematic review of qualitative studies.

Valerie M Vaughn, Sanjay Saint, Sarah L Krein, Jane H Forman, Jennifer Meddings, Jessica Ameling, Suzanne Winter, Whitney Townsend, Vineet Chopra

Abstract readSystematic Review
In one paragraph

Synthesis in BMJ quality & safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 2 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

77 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Process mapping in healthcare: a systematic review.BMC health services research · 2021
    Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Advocating for Professional Advocates in Nursing and Midwifery.Policy, politics & nursing practice · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Palliative care and social practice · 2025
    Article
  19. Article
  20. Article

17 more citing papers are in PubMed but not listed here.

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

9 authors.

Valerie M VaughnDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Sanjay SaintDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Sarah L KreinDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Jane H FormanCenter for Clinical Management Research, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Jennifer MeddingsDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Jessica AmelingDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Suzanne WinterDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Whitney TownsendTaubman Health Sciences Library, University of Michigan, Ann Arbor, Michigan, USA.
Vineet ChopraDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.

Funding

HSRD VA IK6 HX003399
6 · The paper itself

Abstract

backgroundIdentifying characteristics associated with struggling healthcare organisations may help inform improvement. Thus, we systematically reviewed the literature to: (1) Identify organisational factors associated with struggling healthcare organisations and (2) Summarise these factors into actionable domains.

methodsSystematic review of qualitative studies that evaluated organisational characteristics of healthcare organisations that were struggling as defined by below-average patient outcomes (eg, mortality) or quality of care metrics (eg, Patient Safety Indicators). Searches were conducted in MEDLINE (via Ovid), EMBASE, Cochrane Library, CINAHL, and Web of Science from database inception through February 8 2018. Qualitative data were analysed using framework-based synthesis and summarised into key domains. Study quality was evaluated using the Critical Appraisal Skills Program tool.

resultsThirty studies (33 articles) from multiple countries and settings (eg, acute care, outpatient) with a diverse range of interviewees (eg, nurses, leadership, staff) were included in the final analysis. Five domains characterised struggling healthcare organisations: poor organisational culture (limited ownership, not collaborative, hierarchical, with disconnected leadership), inadequate infrastructure (limited quality improvement, staffing, information technology or resources), lack of a cohesive mission (mission conflicts with other missions, is externally motivated, poorly defined or promotes mediocrity), system shocks (ie, events such as leadership turnover, new electronic health record system or organisational scandals that detract from daily operations), and dysfunctional external relations with other hospitals, stakeholders, or governing bodies.

conclusionsStruggling healthcare organisations share characteristics that may affect their ability to provide optimal care. Understanding and identifying these characteristics may provide a first step to helping low performers address organisational challenges to improvement. SYSTEMATIC REVIEW REGISTRATION: PROSPERO: CRD42017067367.

Indexed as

Health FacilitiesHealth Facility AdministrationQuality ImprovementInformation TechnologyLeadershipOrganizational CultureOrganizational ObjectivesOwnershiphealthcare quality improvementleadershippatient safetyqualitative researchquality improvement

Identifiers

PMID30045864
PMCPMC6373545

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.