Evidence map›Paper›PMID 25810415›Full record

ReviewBMJ quality & safety2015

How to study improvement interventions: a brief overview of possible study types.

Margareth Crisóstomo Portela, Peter J Pronovost, Thomas Woodcock, Pam Carter, Mary Dixon-Woods

Registry-linked trialAbstract readReview
In one paragraph

Review in BMJ quality & safety, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04251208 (MOms in REcovery), which is not on this map. Cited by 118 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 10 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.

NCT04251208 completednot on this mapstarted 2019, after this paper: background citation

MOms in REcovery (MORE): Defining Optimal Care for Pregnant Women and Infants

TypeobservationalSponsorTrustees of Dartmouth CollegeRan2019 to 2024Enrolled444ConditionsOpioid-Related Disorders, NAS, Substance Use DisordersArmsObservational Study
3 · Its place in the literature

Who cites it

118 citing papers in PubMed, 10 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Electronic tools to support medication reconciliation: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2017
    Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Trial
  16. Observational
  17. Observational
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Margareth Crisóstomo PortelaSocial Science Applied to Healthcare Research (SAPPHIRE) Group, Department of Health Sciences, School of Medicine, University of Leicester, Leicester, UK Department of Health Administration and Planning, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil.
Peter J PronovostDepartments of Anesthesiology, Critical Care Medicine, and Surgery, Armstrong Institute for Patient Safety and Quality, School of Medicine, and Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Thomas WoodcockNIHR CLAHRC for Northwest London, Imperial College London, Chelsea and Westminster Hospital, London, UK.
Pam CarterSocial Science Applied to Healthcare Research (SAPPHIRE) Group, Department of Health Sciences, School of Medicine, University of Leicester, Leicester, UK.
Mary Dixon-WoodsSocial Science Applied to Healthcare Research (SAPPHIRE) Group, Department of Health Sciences, School of Medicine, University of Leicester, Leicester, UK.

Funding

Wellcome Trust 097899
6 · The paper itself

Abstract

Improvement (defined broadly as purposive efforts to secure positive change) has become an increasingly important activity and field of inquiry within healthcare. This article offers an overview of possible methods for the study of improvement interventions. The choice of available designs is wide, but debates continue about how far improvement efforts can be simultaneously practical (aimed at producing change) and scientific (aimed at producing new knowledge), and whether the distinction between the practical and the scientific is a real and useful one. Quality improvement projects tend to be applied and, in some senses, self-evaluating. They are not necessarily directed at generating new knowledge, but reports of such projects if well conducted and cautious in their inferences may be of considerable value. They can be distinguished heuristically from research studies, which are motivated by and set out explicitly to test a hypothesis, or otherwise generate new knowledge, and from formal evaluations of improvement projects. We discuss variants of trial designs, quasi-experimental designs, systematic reviews, programme evaluations, process evaluations, qualitative studies, and economic evaluations. We note that designs that are better suited to the evaluation of clearly defined and static interventions may be adopted without giving sufficient attention to the challenges associated with the dynamic nature of improvement interventions and their interactions with contextual factors. Reconciling pragmatism and research rigour is highly desirable in the study of improvement. Trade-offs need to be made wisely, taking into account the objectives involved and inferences to be made.

Indexed as

Research DesignHumansOutcome and Process Assessment, Health CareQuality ImprovementEvaluation methodologyHealth services researchQuality improvement methodologiesSocial sciencesStatistical process control

Identifiers

PMID25810415
PMCPMC4413733

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.