Evidence map›Paper›PMID 36129687›Full record

Observational studyHealth services research2023

Achieving transformation to lean management systems in health care.

Martin P Charns, Barbara Lerner, Vera Yakovchenko, Tracy H Urech, Marlena H Shin, Bo Kim, Ryann L Engle, Anita A Vashi

Abstract readObservational Study
In one paragraph

Observational study 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 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The maturity of lean management in a large academic medical center in Finland: a qualitative study.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2024
    Article
  3. Article
  4. Observational
  5. 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

8 authors.

Martin P CharnsCenter for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, Massachusetts, USA.ORCID 0000-0002-7102-5331
Barbara LernerCenter for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, Massachusetts, USA.ORCID 0000-0002-8345-706X
Vera YakovchenkoCenter for Health Equity and Research Promotion (CHERP), VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-9233-2867
Tracy H UrechCenter for Innovation to Implementation (Ci2i), VA Palo Alto Healthcare System, Menlo Park, California, USA.ORCID 0000-0001-6512-3480
Marlena H ShinCenter for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, Massachusetts, USA.ORCID 0000-0001-5555-6258
Bo KimCenter for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, Massachusetts, USA.ORCID 0000-0001-7730-1627
Ryann L EngleCenter for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, Massachusetts, USA.ORCID 0000-0003-1089-1647
Anita A VashiCenter for Innovation to Implementation (Ci2i), VA Palo Alto Healthcare System, Menlo Park, California, USA.ORCID 0000-0002-6305-6779

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo understand what factors and organizational dynamics enable Lean transformation of health care organizations. DATA SOURCES: Primary data were collected through two waves of interviews in 2016-2017 with leaders and staff at seven veterans affairs medical centers participating in Lean enterprise transformation. STUDY

designUsing an observational study design, for each site we coded and rated seven potential enablers of transformation. The outcome measure was the extent of Lean transformation, constructed by coding and rating 11 markers of depth and spread of transformation. Using multivalue coincidence analysis (CNA), we identified enablers that distinguished among sites having different levels of transformation. We identified representative quotes for the enablers. DATA COLLECTION

methodsWe interviewed 121 executive leaders, middle managers, expert consultants, systems redesign staff, frontline supervisors, and staff. PRINCIPAL

findingsTwo sites achieved high Lean transformation, three medium, and two low. Together leadership support and capability development were sufficient for the three-level Lean transformation outcomes with 100% consistency and 100% coverage. High scores on both corresponded to high Lean transformation; medium on either one corresponded to medium transformation; and low on both corresponded to low transformation. Additionally, low scores in communication and availability of data and very low scores in alignment characterized low-transformation sites. Sites with high leadership support also had a high veteran engagement.

conclusionsThis multisite study develops a novel measure of the extent of organization-wide Lean transformation and uses CNA to identify enablers linked to transformation. It provides insights into why and how some organizations are more successful at transformation than others. Findings support the applicability of the organization transformation model that guided the study and highlight the roles of executive leadership and capability development in the dynamics of transformation.

Indexed as

Delivery of Health CareVeteransHospitalsHumansLeadershipcoincidence analysislean managementorganizational transformationqualitative researchveterans

Identifiers

PMID36129687
PMCPMC10012231

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.