Evidence map›Paper›PMID 39695655›Full record

ArticleBMC health services research2024

Defining the transition from new to normal: a qualitative investigation of the clinical change process.

Santana R Silver, Kayla Christine Jones, Kimberly Hook, Erika L Crable, Emily R George, Janet R Serwint, Kirsten Austad, Allan Walkey, Mari-Lynn Drainoni

Abstract read
In one paragraph

Article in BMC health services research, 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

5 · Who and what money

Authors and funding

9 authors.

Santana R SilverDepartment of Medicine, Evans Center for Implementation and Improvement Sciences, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA. ssilver@g.harvard.edu.
Kayla Christine JonesDepartment of Medicine, Evans Center for Implementation and Improvement Sciences, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Kimberly HookDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Erika L CrableDepartment of Psychiatry, University of California San Diego, La Jolla, San Diego, CA, 92093, USA.
Emily R GeorgeBoston University School of Public Health, 715 Albany St, Boston, MA, USA.
Janet R SerwintJohns Hopkins University School of Medicine, 600 N. Wolfe St., Baltimore, MD, USA.
Kirsten AustadDepartment of Medicine, Evans Center for Implementation and Improvement Sciences, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Allan WalkeyDepartment of Medicine, Division of Health System Science, UMass Chan School of Medicine, Worcester, MA, USA.
Mari-Lynn DrainoniDepartment of Medicine, Evans Center for Implementation and Improvement Sciences, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.

Funding

Boston University Medical Campus-Massachusetts General Hospital Global Psychiatric Clinical Research Training ProgramT32MH116140 · NIMH · BOSTON MEDICAL CENTER · PI FRICCHIONE, GREGORY L, HENDERSON, DAVID C · 2018 to 2022
$1.6M
Policy Dissemination Strategies to Improve the Use of Research Evidence in Medicaid Benefits for Opioid Use Disorder TreatmentK01DA056838 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Erika Lynn Crable · 2022 to 2026
$914k
Implementing Evidence-Based Treatment for Common Mental Disorders in HIV Clinics in UkraineK23MH133520 · NIMH · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Kimberly Michelle Hook · 2023 to 2026
$750k
Adapting an Evidence-Based Intervention to Improve the Hospital Discharge Process for Patients with Limited English ProficiencyK23MD019068 · NIMHD · BOSTON MEDICAL CENTER · PI Kirsten Austad · 2023 to 2026
$648k
NIDA NIH HHS K01 DA056838NIDA NIH HHS K01DA056838NIDA NIH HHS L60 DA056946NIH HHS T32MH116140NIMHD NIH HHS K23 MD019068NIMHD NIH HHS K23MD019068NIMH NIH HHS K23 MH133520NIMH NIH HHS K23MH133520NIMH NIH HHS T32 MH116140
6 · The paper itself

Abstract

backgroundUnderstanding how and when a new evidence-based clinical intervention becomes standard practice is crucial to ensure that healthcare is delivered in alignment with the most up-to-date knowledge. However, rigorous methods are needed to determine when a new clinical practice becomes normalized to the standard of care. To address this gap, this study qualitatively explores how, when, and why a clinical practice change becomes normalized within healthcare organizations.

methodsWe used purposive sampling to recruit clinical leaders who worked in quality improvement and/or implementation science in diverse health contexts. Enrolled participants completed semi-structured interviews around implementing evidence-based practices. Qualitative data was inductively and deductively analyzed, and was guided by a modified version of the Normalization Process Theory (NPT) framework to identify salient themes. Additionally, identified normalization strategies were mapped to the Expert Recommendations for Implementation Change (ERIC) project.

resultsA total of 17 individuals were interviewed. Two categories of themes emerged: 1) signals of when a new clinical practice is considered to be normalized within clinical care; and 2) strategies utilized to normalize new clinical innovations. Participants described four key signals for identifying when a novel clinical practice becomes the new normal: 1) integrated seamlessly into existing workflows; 2) scaled across the entire organizational unit; 3) has strong staff buy-in and ownership; and 4) no longer needs monitoring and evaluation to be sustained. Major strategies to normalize new clinical interventions included: 1) taking a patient approach that starts slow and gains momentum; 2) identifying and using methods to gain staff buy-in and ownership; and 3) conducting ongoing measurement of progress towards normalization.

conclusionsThe results offer valuable insight into the indicators that signify when a novel clinical practice becomes normalized, and the strategies employed to facilitate this transition. These findings can inform future research to develop instruments that implementation leaders can use to systematically measure the clinical change process.

Indexed as

Qualitative ResearchEvidence-Based PracticeFemaleHumansImplementation ScienceInterviews as TopicMaleOrganizational InnovationQuality ImprovementClinical practice changeEvidence-based practiceHealthcare deliveryImplementation scienceNormalizationSustainment

Identifiers

PMID39695655
PMCPMC11653967

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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.