Evidence map›Paper›PMID 28155110›Full record

ReviewTranslational behavioral medicine2017

Intentional research design in implementation science: implications for the use of nomothetic and idiographic assessment.

Aaron R Lyon, Elizabeth Connors, Amanda Jensen-Doss, Sara J Landes, Cara C Lewis, Bryce D McLeod, Christopher Rutt, Cameo Stanick, Bryan J Weiner

Abstract readReview
In one paragraph

Review in Translational behavioral medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Precision feedback: A conceptual model.Learning health systems · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A philosophical perspective on the development and application of patient-reported outcomes measures (PROMs).Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. 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

9 authors.

Aaron R LyonDepartment of Psychiatry and Behavioral Sciences, University of Washington, School of Medicine, 6200 NE 74th Street, Suite 100, Seattle, WA, 98115, USA. lyona@uw.edu.
Elizabeth ConnorsDepartment of Psychiatry, University of Maryland, School of Medicine, 737 West Lombard Street, office 420, Baltimore, MD, 21201, USA.
Amanda Jensen-DossDepartment of Psychology, University of Miami, P.O. Box 248185, Coral Gables, FL, 33124, USA.
Sara J LandesDepartment of Psychiatry, University of Arkansas for Medical Sciences, 4301 W. Markham St, Little Rock, AR, 72205, USA.
Cara C LewisDepartment of Psychiatry and Behavioral Sciences, University of Washington, School of Medicine, 6200 NE 74th Street, Suite 100, Seattle, WA, 98115, USA.
Bryce D McLeodDepartment of Psychology, Virginia Commonwealth University, PO Box 842018, 806 W. Franklin Street, Richmond, VA, 23284, USA.
Christopher RuttDepartment of Psychology, Harvard University, 33 Kirkland Street, William James Hall, Cambridge, MA, 02138, USA.
Cameo StanickDepartment of Psychology, University of Montana, Skaggs Building Room 143, Missoula, MT, 59812, USA.
Bryan J WeinerUniversity of North Carolina at Chapel Hill, 1102-C McGavran-Greenberg Hall, Chapel Hill, NC, 27516, USA.

Funding

Advancing Implementation Science through Measure Development and EvaluationR01MH106510 · NIMH · TRUSTEES OF INDIANA UNIVERSITY · PI LEWIS, CARA CHARISSA · 2015 to 2017
$1.3M
Implementation of a Measurement Feedback System in School Mental HealthK08MH095939 · NIMH · UNIVERSITY OF WASHINGTON · PI LYON, AARON ROBERT · 2012 to 2016
$787k
NIMH NIH HHS K08 MH095939NIMH NIH HHS R01 MH106510
6 · The paper itself

Abstract

The advancement of implementation science is dependent on identifying assessment strategies that can address implementation and clinical outcome variables in ways that are valid, relevant to stakeholders, and scalable. This paper presents a measurement agenda for implementation science that integrates the previously disparate assessment traditions of idiographic and nomothetic approaches. Although idiographic and nomothetic approaches are both used in implementation science, a review of the literature on this topic suggests that their selection can be indiscriminate, driven by convenience, and not explicitly tied to research study design. As a result, they are not typically combined deliberately or effectively. Thoughtful integration may simultaneously enhance both the rigor and relevance of assessments across multiple levels within health service systems. Background on nomothetic and idiographic assessment is provided as well as their potential to support research in implementation science. Drawing from an existing framework, seven structures (of various sequencing and weighting options) and five functions (Convergence, Complementarity, Expansion, Development, Sampling) for integrating conceptually distinct research methods are articulated as they apply to the deliberate, design-driven integration of nomothetic and idiographic assessment approaches. Specific examples and practical guidance are provided to inform research consistent with this framework. Selection and integration of idiographic and nomothetic assessments for implementation science research designs can be improved. The current paper argues for the deliberate application of a clear framework to improve the rigor and relevance of contemporary assessment strategies.

Indexed as

Research DesignHealth Plan ImplementationHumansAssessmentIdiographicImplementation scienceMeasurementNomotheticResearch design

Identifiers

PMID28155110
PMCPMC5645274

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.