Evidence map›Paper›PMID 22206409›Full record

ArticleBMC complementary and alternative medicine2011

Developing a patient-centered outcome measure for complementary and alternative medicine therapies II: refining content validity through cognitive interviews.

Jennifer J Thompson, Kimberly L Kelly, Cheryl Ritenbaugh, Allison L Hopkins, Colette M Sims, Stephen J Coons

Registry-linked trialOpen access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC complementary and alternative medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03593772 (Mission Reconnect), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.5field-weighted citation impact, top 5% of its field
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.

NCT03593772 nacompletednot on this mapstarted 2019, after this paper: background citation

Mission Reconnect: Delivering a Mobile and Web Based Self Directed Complementary and Integrative Health Program to Veterans and Their Partners to Manage Pain and PTSD

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2019 to 2022Enrolled730ConditionsPTSD, Chronic Musculoskeletal PainArmsMission Reconnect
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 34 citations in OpenAlex.

  1. Measuring Whole Person Health: A Scoping Review.Journal of integrative and complementary medicine · 2025
    Article
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  5. Whole Systems Research Methods in Health Care: A Scoping Review.Journal of alternative and complementary medicine (New York, N.Y.) · 2019
    Article
  6. Article
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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

6 authors at 3 institutions in 1 country.

Jennifer J ThompsonDivision of Biological Sciences, University of Georgia, Athens, GA, USA.
Kimberly L Kelly
Cheryl Ritenbaugh
Allison L Hopkins
Colette M Sims
Stephen J Coons
University of Arizona · USCritical Path Institute · USUniversity of Georgia · US

Funding

Arizona Complementary and Alternative Medicine Research Training ProgramT32AT001287 · NCCIH · UNIVERSITY OF ARIZONA · PI BELL, IRIS ROBERTA · 2002 to 2011
$3.2M
Developing Patient-Centered Measures for Outcomes of CAM TherapiesR01AT003314 · NCCIH · UNIVERSITY OF ARIZONA · PI RITENBAUGH, CHERYL KAY · 2006 to 2010
$1.3M
NCCIH NIH HHS R01AT003314NCCIH NIH HHS T32 AT01287
6 · The paper itself

Abstract

backgroundAvailable measures of patient-reported outcomes for complementary and alternative medicine (CAM) inadequately capture the range of patient-reported treatment effects. The Self-Assessment of Change questionnaire was developed to measure multi-dimensional shifts in well-being for CAM users. With content derived from patient narratives, items were subsequently focused through interviews on a new cohort of participants. Here we present the development of the final version in which the content and format is refined through cognitive interviews.

methodsWe conducted cognitive interviews across five iterations of questionnaire refinement with a culturally diverse sample of 28 CAM users. In each iteration, participant critiques were used to revise the questionnaire, which was then re-tested in subsequent rounds of cognitive interviews. Following all five iterations, transcripts of cognitive interviews were systematically coded and analyzed to examine participants' understanding of the format and content of the final questionnaire. Based on this data, we established summary descriptions and selected exemplar quotations for each word pair on the final questionnaire.

resultsThe final version of the Self-Assessment of Change questionnaire (SAC) includes 16 word pairs, nine of which remained unchanged from the original draft. Participants consistently said that these stable word pairs represented opposite ends of the same domain of experience and the meanings of these terms were stable across the participant pool. Five pairs underwent revision and two word pairs were added. Four word pairs were eliminated for redundancy or because participants did not agree on the meaning of the terms. Cognitive interviews indicate that participants understood the format of the questionnaire and considered each word pair to represent opposite poles of a shared domain of experience.

conclusionsWe have placed lay language and direct experience at the center of questionnaire revision and refinement. In so doing, we provide an innovative model for the development of truly patient-centered outcome measures. Although this instrument was designed and tested in a CAM-specific population, it may be useful in assessing multi-dimensional shifts in well-being across a broader patient population.

Indexed as

CognitionAdolescentAdultAgedCohort StudiesComplementary TherapiesFemaleHumansInterviews as TopicLanguageMaleMiddle AgedOutcome Assessment, Health CarePatientsSelf-AssessmentSurveys and Questionnaires

Identifiers

PMID22206409
PMCPMC3439682
OpenAlexW2022294770

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.