Evidence map›Paper›PMID 26545736›Full record

ArticleSubstance abuse treatment, prevention, and policy2015

Development and psychometric validation of a novel patient survey to assess perceived quality of substance abuse treatment in South Africa.

Bronwyn Myers, Rajen Govender, J Randy Koch, Ron Manderscheid, Kim Johnson, Charles D H Parry

Abstract readValidation Study
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Involvement of people who use alcohol and other drug services in the development of patient-reported measures of experience: A scoping review.Health expectations : an international journal of public participation in health care and health policy · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Performance Measurement in Mental Health and Addictions Systems: A Scoping Review.Journal of studies on alcohol and drugs. Supplement · 2019
    Article
  10. Article
  11. Article
  12. 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

6 authors.

Bronwyn MyersAlcohol, Tobacco and Other Drug Research Unit, South African Medical Research Council, Cape Town, South Africa. bmyers@mrc.ac.za.
Rajen GovenderDepartment of Sociology, University of Cape Town, Cape Town, South Africa. govender@iafrica.com.
J Randy KochDepartment of Psychology, Virginia Commonwealth University, Richmond, VA, USA. jrkoch@vcu.edu.
Ron ManderscheidNational Association of County Behavioral Health and Developmental Disability Directors, Washington DC, USA. rmanderscheid@nacbhd.org.
Kim JohnsonAlcohol, Tobacco and Other Drug Research Unit, South African Medical Research Council, Cape Town, South Africa. kim.johnson@mrc.ac.za.
Charles D H ParryAlcohol, Tobacco and Other Drug Research Unit, South African Medical Research Council, Cape Town, South Africa. cparry@mrc.ac.za.

Funding

PS08-854, COOPERATIVE AGREEMENT TO THE MRC OF SOUTH AFRICAU2GPS001137 · PS · MEDICAL RESEARCH COUNCIL OF SOUTH AFRICA · PI BHAGWANDIN, NIRESH · 2008 to 2012
$51.1M
NCHHSTP CDC HHS U2G PS001137PHS HHS 5U2GPS001137-05
6 · The paper itself

Abstract

backgroundA hybrid performance measurement system that combines patient-reported outcome data with administrative data has been developed for South African substance abuse treatment services. This paper describes the development and psychometric validation of one component of this system, the South African Addiction Treatment Services Assessment (SAATSA).

methodsFirst, a national steering committee identified five domains and corresponding indicators on which treatment quality should be assessed. A decision was made to develop a patient survey to assess several of these indicators. A stakeholder work group sourced survey items and generated additional items where appropriate. The feasibility and face validity of these items were examined during cognitive response testing with 16 patients. This led to the elimination of several items. Next, we conducted an initial psychometric validation of the SAATSA with 364 patients from residential and outpatient services. Exploratory (EFA) and confirmatory factor analyses (CFA) were conducted to assess the latent structure of the SAATSA. Findings highlighted areas where the SAATSA required revision. Following revision, we conducted another psychometric validation with an additional sample of 285 patients. We used EFA and CFA to assess construct validity and we assessed reliability using Cronbach's measure of internal consistency.

resultsThe final version of the SAATSA comprised 31 items (rated on a four-point response scale) that correspond to six scales. Four of these scales are patient-reported outcome measures (substance use, quality of life, social connectedness and HIV risk outcomes) that together assess the perceived effectiveness of treatment. The remaining two scales assess patients' perceptions of access to and quality of care. The models for the final revised scales had good fit and the internal reliability of these scales was good to excellent, with Cronbach's α ranging from 0.72 to 0.89.

conclusionA lack of adequate measurement tools hampers efforts to improve the quality of substance abuse treatment. Our preliminary evidence suggests that the SAATSA, a novel patient survey that assesses patients' perceptions of the outcomes and quality of substance abuse treatment, is a psychometrically robust tool that can help fill this void.

Indexed as

Quality Assurance, Health CareHumansPatient SatisfactionPsychometricsSouth AfricaSubstance Abuse Treatment CentersSurveys and Questionnaires

Identifiers

PMID26545736
PMCPMC4636825

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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.