Literature DB >> 21853277

Recruitment bias in chronic pain research: whiplash as a model.

Jo Nijs1, Els Inghelbrecht, Liesbeth Daenen, Said Hachimi-Idrissi, Luc Hens, Bert Willems, Nathalie Roussel, Patrick Cras, Kristien Wouters, Jan Bernheim.   

Abstract

In science findings which cannot be extrapolated to other settings are of little value. Recruitment methods vary widely across chronic whiplash studies, but it remains unclear whether this generates recruitment bias. The present study aimed to examine whether the recruitment method accounts for differences in health status, social support, and personality traits in patients with chronic whiplash-associated disorders (WAD). Two different recruitment methods were compared: recruiting patients through a local whiplash patient support group (group 1) and local hospital emergency department (group 2). The participants (n=118) filled in a set of questionnaires: the Neck Disability Index, Medical Outcome Study Short-Form General Health Survey, Anamnestic Comparative Self-Assessment measure of overall well-being, Symptom Checklist-90, Dutch Personality Questionnaire, and the Social Support List. The recruitment method (either through the local emergency department or patient support group) accounted for the differences in insufficiency, somatization, disability, quality of life, self-satisfaction, and dominance (all p values <.01). The recruitment methods generated chronic WAD patients comparable for psychoneurotism, social support, self-sufficiency, (social) inadequacy, rigidity, and resentment (p>.01). The recruitment of chronic WAD patients solely through patient support groups generates bias with respect to the various aspects of health status and personality, but not social support. In order to enhance the external validity of study findings, chronic WAD studies should combine a variety of recruitment procedures.

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Year:  2011        PMID: 21853277     DOI: 10.1007/s10067-011-1829-8

Source DB:  PubMed          Journal:  Clin Rheumatol        ISSN: 0770-3198            Impact factor:   2.980


  35 in total

1.  Epidemiology of whiplash.

Authors:  L Barnsley
Journal:  Ann Rheum Dis       Date:  2000-05       Impact factor: 19.103

2.  Survey of one hundred cases of whiplash injury after settlement of litigation.

Authors:  N GOTTEN
Journal:  J Am Med Assoc       Date:  1956-10-27

3.  Physical and psychological factors predict outcome following whiplash injury.

Authors:  Michele Sterling; Gwendolen Jull; Bill Vicenzino; Justin Kenardy; Ross Darnell
Journal:  Pain       Date:  2005-01-21       Impact factor: 6.961

4.  Extended recruitment efforts minimize attrition but not necessarily bias.

Authors:  Robin Haring; Dietrich Alte; Henry Völzke; Sybille Sauer; Henri Wallaschofski; Ulrich John; Carsten O Schmidt
Journal:  J Clin Epidemiol       Date:  2008-10-01       Impact factor: 6.437

Review 5.  The nosologic status of the whiplash syndrome: a critical review based on a methodological approach.

Authors:  L J Stovner
Journal:  Spine (Phila Pa 1976)       Date:  1996-12-01       Impact factor: 3.468

6.  The MOS short-form general health survey. Reliability and validity in a patient population.

Authors:  A L Stewart; R D Hays; J E Ware
Journal:  Med Care       Date:  1988-07       Impact factor: 2.983

7.  Psychological disturbances and an exaggerated response to pain in patients with whiplash injury.

Authors:  J Lee; K Giles; P D Drummond
Journal:  J Psychosom Res       Date:  1993       Impact factor: 3.006

8.  The demographic and psychiatric characteristics of 110 personal injury litigants.

Authors:  B F Hoffman
Journal:  Bull Am Acad Psychiatry Law       Date:  1991

9.  Sprain of the neck: quality of life and psychological functioning. A 4-year retrospective study.

Authors:  G J Versteegen; P U Dijkstra; J P C Jaspers; W J Meijler; H J ten Duis; E C Klip
Journal:  Qual Life Res       Date:  2003-05       Impact factor: 4.147

10.  The Neck Disability Index: a study of reliability and validity.

Authors:  H Vernon; S Mior
Journal:  J Manipulative Physiol Ther       Date:  1991-09       Impact factor: 1.437

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  2 in total

Review 1.  The placebo response in medicine: minimize, maximize or personalize?

Authors:  Paul Enck; Ulrike Bingel; Manfred Schedlowski; Winfried Rief
Journal:  Nat Rev Drug Discov       Date:  2013-03       Impact factor: 84.694

2.  Digital Pain Mapping and Tracking in Patients With Chronic Pain: Longitudinal Study.

Authors:  Maria Galve Villa; Thorvaldur S Palsson; Albert Cid Royo; Carsten R Bjarkam; Shellie A Boudreau
Journal:  J Med Internet Res       Date:  2020-10-26       Impact factor: 5.428

  2 in total

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