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Biopsychosocial screening questionnaire for patients with low back pain: preliminary report of utility in physiotherapy practice in Northern Ireland. (University of Ulster, Jordanstown, Northern Ireland) <i>Clin J Pain</i> 2000;16:214–228.

2001· article· en· W2024852728 on OpenAlexaboutno aff
Deirde A. Hurley, Tony E. Dusoir, Suzanne McDonough, Ann Moore, Steven J. Linton

Bibliographic record

VenuePain Practice · 2001
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsBiopsychosocial modelMedicinePhysical therapyLow back painAlternative medicinePsychiatry

Abstract

fetched live from OpenAlex

This study aimed to investigate the potential utility of a new biopsychosocial‐screening questionnaire by exploring the relationship between it and several physical risk factors and posttreatment outcomes. The relationship between the screening questionnaire and valid and reliable outcome measures of pain and functional disability was also compared. Significant associations were detected between questionnaire scores and pretreatment “leisure time exercise,”“analgesic medication use,” and “subjective anesthesia;” posttreatment “return to work;”and “number of physiotherapy treatments” as well as pain and functional disability measures. A cutoff “at risk” sore of 112 was calculated, which correctly classified 74% of the patients who received six treatments and 80% of the patients who failed to return to work at the end of the treatment. The findings of this study provide preliminary evidence of the utility of this biopsychosocial screening questionnaire for future use in clinical intervention studies in the Northern Ireland National Health Service. Further comparative investigations in other health care settings are warranted. Comment by Phillip S. Sizer Jr., MEd, P.T. The investigators presented a study aimed at evaluating the utility of the Acute Low Back Pain Screening Questionnaire (ALBPSQ) in patients with LBP in the Northern Ireland NHS. A cut‐off score for the questionnaire was established by examining the relationship between the questionnaire and several documented risk factors, as well as validated treatment outcome measures for pain and functional disability. This cross‐sectional and longitudinal design was based on a thorough evaluation of the literature regarding risk factors for the development of LBP chronicity. A total of 118 patients (47 male, 71 female; mean age of 43.19 years) participated. The questionnaire was comprised of 24 items divided into the following groups: function, pain, psychological factors, fear avoidance, and miscellaneous (sick leave, age, gender, nationality, monotonous versus heavy work, and job satisfaction). Pain was measured with the McGill Pain Questionnaire (MPQ) and pain‐specific functional disability was measured with the Roland Morris Disability Questionnaire (RMDQ). These measures were conducted before and after treatment, which included advice, education, exercise, manipulative therapy, electrotherapy, traction and thermal agents. The ALBPSQ was significantly correlated with three pretreatment variables (leisure time exercise, subjective anesthesia, and analgesic medication) and two posttreatment variables (Return to work and number of physiotherapy treatments). Additionally, the investigators suggested an ALBPSQ cutoff score of 112, although they supported the idea that the screening tool is not 100% accurate. They also found that a score of 112 was significantly associated with the MPQ and RMDQ scores. Furthermore, they observed no significant differences in ALBPSQ scores from working versus nonworking individuals. The authors noted the limitations of this investigation, which included the lack of a control group, inconsistent treatment strategies, and the absence of evaluating the impact of litigation on score outcomes. With these limitations in mind, the ALBPSQ may prove to be a useful tool in both research and clinical practice for predicting risk for chronicity. Future research should include a similar investigation in the United States, considering potential differences in the two health care delivery systems, as well as respective patterns of managing worker's compensation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.271
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2001
Admission routes1
Has abstractyes

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