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Record W7024006590

Propriedades psicométricas da versão brasileira do short form brief pain inventory (SF-BPI) em idosos com dor crônica e a relação com o lócus de controle da dor

2022· dissertation· pt· W7024006590 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2022
Typedissertation
Languagept
FieldMedicine
TopicPain Management and Opioid Use
Canadian institutionsnot available
Fundersnot available
KeywordsLocus of controlCoping (psychology)PerceptionChronic painConstruct validityPain catastrophizingPain and suffering
DOInot available

Abstract

fetched live from OpenAlex

Pain is one of the causes of greater incapacity worldwide. Despite being such a prevalent condition on elders, its evaluation is still a challenging task and often times neglected, due to the misconception that the symptom is an inherent part of aging. In this context, the use of instruments for multidimensional pain assessment, such as the Short Form Brief Pain Inventory (SF-BPI), can allow a careful assessment of the symptom. Although the SF-BPI is an instrument widely used in the scientific and clinic international scenario, there were not found studies that have investigated the psicometric properties of its Brazilian version in community elderly, with chronic neuropathic, nociceptive and nociplastic pain. The beliefs and personal attitudes related to pain can also interfere with the individual behavior in the face of pain symptoms. The Locus of Control (LC) is a construct built to explain the perception or the belief of a person about who or what contains the control over certain aspects of life, including over the painful experience. The instrument Pain Locus of Control Scale - MHLC-Form C (PLOC-C) allows the classification of the LC in internal, chance, based on other people (family, friends) or health professionals, and the last three constitute subtypes of external locus of control (LCE). The evidences suggest that those with internal locus of control (LCI) of pain achieve the most positive results in terms of coping with the sympton. Therefore, the first objective of the study was to evaluate the psychometric properties of the Brazilian version of the SF-BPI in community-dwelling elderly people. The second objective was to investigate the association between the SF-BPI and the PLOC-C scale through a multiple linear regression analysis. To this end, two models were stipulated: pain intensity and pain interference. Both had the following independent variables: internal, chance, in other people and in health professionals LC. The dependent variables were the SF-BPI pain intensity score for the first model and the SF-BPI pain interference score for the second. It was then carried out an observational, methodological, cross-sectional study, which included a convenience sample of 114 elders with nociceptive, neuropathic and/or nociplastic chronic pain. Based on the results, it was possible to attest to the validity of the questionnaire construct by means of the confirmatory factor analysis, which ratified a 2-factor structure described in the literature. In addition, it was identified convergent validity between the similar ones of the SF-BPI and the Pain Intensity (PPI) scale, derived from the pain questionnaire “Mcgill”. Good global internal consistency of the SF-BPI was verified (Cronbach's α: 0.87), as well as its pain intensity and interference dimensions (Cronbach's α; 0.84 and 0.82, respectively). Excellent test-retest reliability was observed for mean pain intensity and interference scores (Intraclass Correlation Coefficient - ICC: 0.90 and 0.96, respectively). Inter-rater reliability was also excellent for both dimensions (ICC: 0.77). Regarding the LC and its classification according to the application of the PLOC-C, it was identified that 54% of the elderly had a predominant locus in other powerful others, 29.8% had an LCI and only 6.14% had a chance locus. Regarding the analysis of multiple linear regression, the results indicate that both the pain intensity model (F9-104= 2.982; p<0.05; R2=0.205) and pain interference model (F9-104= 5.905; p<0.01; R2= , 338) were statistically significant, which explained 20.5% and 33.8% of the variance of the respective SF-BPI scores. Among all the independent variables, only the LCI was able to predict intensity (β= -0.297; T= -3.292; P<0.01) and pain interference (β= -0.257; T= -3.131; P<0.05), with an inverse and significant association being observed between the LCI and the scores of each of the aforementioned dimensions of the SF-BPI. Thus, the study brought sufficient evidences that sustain the validity and reliability of the Brazilian version of the SF-BPI for community elderly dwellers with the painful phenotypes included in this research. It is a relevant data, considering the restrict number of questionnaires for the multidimensional pain evaluation already validated for this population on the country. In addition, it concludes that the associated use of the SF-BPI and the PLOC-C provides a more global overview of the painful phenomenon on elders, which may guide the adoption of therapeutic conducts that are in fact resolute.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.276
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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