Predictors of dropout in interdisciplinary chronic pain management programmes: A systematic review
Objective: Systematic review to identify predictors for dropout during interdisciplinary pain management programmes. Data sources: PubMed, PsycINFO, CINAHL, Embase, and SPORTDiscus were searched from inception to 22 June 2017. Study selection: Screening, data-extraction and quality assessment was ca...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Medical Journals Sweden
2018-11-01
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| Series: | Journal of Rehabilitation Medicine |
| Subjects: | |
| Online Access: |
https://www.medicaljournals.se/jrm/content/html/10.2340/16501977-2502
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| _version_ | 1798018379267702784 |
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| author | Janke Oosterhaven Harriet Wittink Jurgen Mollema Cas Kruitwagen Walter Devillé |
| author_facet | Janke Oosterhaven Harriet Wittink Jurgen Mollema Cas Kruitwagen Walter Devillé |
| author_sort | Janke Oosterhaven |
| collection | DOAJ |
| description | Objective: Systematic review to identify predictors for dropout during interdisciplinary pain management programmes.
Data sources: PubMed, PsycINFO, CINAHL, Embase, and SPORTDiscus were searched from inception to 22 June 2017.
Study selection: Screening, data-extraction and quality assessment was carried out independently by 2 researchers.
Data synthesis: Eight studies with low methodological quality were included in this review. Out of 63 potential predictors identified in univariate analyses, significant results were found for 18 predictors of dropout in multiple logistic regression analyses in 4 domains, as described by Meichenbaum & Turk: (i) sociodemographic domain (2); (ii) patient domain (8); (iii) disease domain (6); and (iv) treatment domain (2).
Conclusion: This systematic review presents an overview of predictors of dropout. The literature with regard to the prediction of dropout has focused mainly on patient characteristics and is still in the stage of model development. Future research should focus on therapist/therapy-related predictors and the interaction between these predictors. This review suggests future research on this topic, in order to generate better outcomes in interdisciplinary pain management programmes. |
| first_indexed | 2024-04-11T16:22:59Z |
| format | Article |
| id | doaj.art-2d0c316418bf432b8ce46200f16540e7 |
| institution | Directory Open Access Journal |
| issn | 1650-1977 1651-2081 |
| language | English |
| last_indexed | 2024-04-11T16:22:59Z |
| publishDate | 2018-11-01 |
| publisher | Medical Journals Sweden |
| record_format | Article |
| series | Journal of Rehabilitation Medicine |
| spelling | doaj.art-2d0c316418bf432b8ce46200f16540e72022-12-22T04:14:16ZengMedical Journals SwedenJournal of Rehabilitation Medicine1650-19771651-20812018-11-0151121010.2340/16501977-25022480Predictors of dropout in interdisciplinary chronic pain management programmes: A systematic reviewJanke Oosterhaven0Harriet WittinkJurgen MollemaCas KruitwagenWalter Devillé Research Group Lifestyle and Health, University of Applied Sciences Utrecht, 3584 CS Utrecht, The Netherlands. janke.oosterhaven@hu.nl. Objective: Systematic review to identify predictors for dropout during interdisciplinary pain management programmes. Data sources: PubMed, PsycINFO, CINAHL, Embase, and SPORTDiscus were searched from inception to 22 June 2017. Study selection: Screening, data-extraction and quality assessment was carried out independently by 2 researchers. Data synthesis: Eight studies with low methodological quality were included in this review. Out of 63 potential predictors identified in univariate analyses, significant results were found for 18 predictors of dropout in multiple logistic regression analyses in 4 domains, as described by Meichenbaum & Turk: (i) sociodemographic domain (2); (ii) patient domain (8); (iii) disease domain (6); and (iv) treatment domain (2). Conclusion: This systematic review presents an overview of predictors of dropout. The literature with regard to the prediction of dropout has focused mainly on patient characteristics and is still in the stage of model development. Future research should focus on therapist/therapy-related predictors and the interaction between these predictors. This review suggests future research on this topic, in order to generate better outcomes in interdisciplinary pain management programmes. https://www.medicaljournals.se/jrm/content/html/10.2340/16501977-2502 dropoutchronicmusculoskeletalpaininterdisciplinarypainmanagementprogrammessystematicreview. |
| spellingShingle | Janke Oosterhaven Harriet Wittink Jurgen Mollema Cas Kruitwagen Walter Devillé Predictors of dropout in interdisciplinary chronic pain management programmes: A systematic review Journal of Rehabilitation Medicine dropout chronicmusculoskeletalpain interdisciplinarypainmanagementprogrammes systematicreview. |
| title | Predictors of dropout in interdisciplinary chronic pain management programmes: A systematic review |
| title_full | Predictors of dropout in interdisciplinary chronic pain management programmes: A systematic review |
| title_fullStr | Predictors of dropout in interdisciplinary chronic pain management programmes: A systematic review |
| title_full_unstemmed | Predictors of dropout in interdisciplinary chronic pain management programmes: A systematic review |
| title_short | Predictors of dropout in interdisciplinary chronic pain management programmes: A systematic review |
| title_sort | predictors of dropout in interdisciplinary chronic pain management programmes a systematic review |
| topic | dropout chronicmusculoskeletalpain interdisciplinarypainmanagementprogrammes systematicreview. |
| url |
https://www.medicaljournals.se/jrm/content/html/10.2340/16501977-2502
|
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