Evidence map›Paper›PMID 30635001›Full record

ArticleImplementation science : IS2019

Mixed-method approaches to strengthen economic evaluations in implementation research.

Alex R Dopp, Peter Mundey, Lana O Beasley, Jane F Silovsky, Daniel Eisenberg

Abstract read
In one paragraph

Article in Implementation science : IS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Examining the Effects of a Brief, Group-Based Motivational Implementation Strategy on Mechanisms of Teacher Behavior Change.Prevention science : the official journal of the Society for Prevention Research · 2021
    Trial
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

5 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

5 authors.

Alex R DoppDepartment of Psychological Science, University of Arkansas, 216 Memorial Hall, Fayetteville, AR, 72701, USA. dopp@uark.edu.ORCID 0000-0002-2522-6546
Peter MundeyDepartment of Pediatrics, University of Oklahoma Health Sciences Center, 940 NE 13th Street, Nicholson Tower, Suite 4900, Oklahoma City, OK, 73104, USA.
Lana O BeasleyDepartment of Human Development and Family Science, Oklahoma State University, 233 Human Sciences, Stillwater, OK, 74078, USA.
Jane F SilovskyDepartment of Pediatrics, University of Oklahoma Health Sciences Center, 940 NE 13th Street, Nicholson Tower, Suite 4900, Oklahoma City, OK, 73104, USA.
Daniel EisenbergDepartment of Health Management and Policy, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGuidance from economic evaluations on which implementation strategies represent the best return on investment will be critical to advancing the Triple Aim of health care: improving patient care and population health while minimizing per-capita cost. The results of traditional (quantitative) economic evaluations are limited by a remaining "qualitative residual" of contextual information and stakeholders perspectives, which cannot be captured by monetary values alone and is particularly prevalent in implementation science research. The emergence of qualitative methods for economic evaluation offers a promising solution. MAIN BODY: To maximize the contributions of economic evaluations to implementation science, we recommend that researchers embrace a mixed-methods research agenda that merges traditional quantitative approaches with innovative, contextually grounded qualitative methods. Such studies are exceedingly rare at present. To assist implementation scientists in making use of mixed methods in this research context, we present an adapted taxonomy of mixed-method studies relevant to economic evaluation. We then illustrate the application of mixed methods in a recently completed cost-effectiveness evaluation, making use of an adapted version of reporting standards for economic evaluations.

conclusionsBy incorporating qualitative methods, implementation researchers can enrich their economic evaluations with detailed, context-specific information that tells the full story of the costs and impacts of implementation. We end by providing suggestions for building a research agenda in mixed-method economic evaluation, along with more resources and training to support investigators who wish to answer our call to action.

Indexed as

Implementation ScienceResearch DesignCost-Benefit AnalysisDelivery of Health CareHumansQuality of Health CareCost-benefitCost-effectivenessEconomic evaluationHealth economicsMixed methods

Identifiers

PMID30635001
PMCPMC6329154

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.