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Record W7042213226

Online Self-Management Treatment Program for Women Diagnosed with Interstitial Cystitis/Bladder Pain Syndrome

2020· dissertation· en· W7042213226 on OpenAlexaff

Bibliographic record

VenueQSpace (Queen's University Library) · 2020
Typedissertation
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsPsychosocialPopulationQuality of life (healthcare)Randomized controlled trialPsychological intervention
DOInot available

Abstract

fetched live from OpenAlex

Interstitial Cystitis/Bladder Pain Syndrome (IC/BPS) is a chronic pelvic pain condition. An agreed-upon etiology for IC/BPS remains unspecified and medical treatment is often inadequate. Research has demonstrated the condition is associated with diminished quality of life (QoL), significant pain-related disability, greater pain catastrophizing, depressed mood, and decreased social support. Psychosocial treatments have been emphasized by health-care providers and researchers alike, but to date, no study has evaluated a psychosocial treatment program for this population. The literature suggests that online psychosocial treatments can effectively improve patient outcomes in various chronic pain samples. The present dissertation aimed to develop and evaluate the efficacy of an online psychosocial self-management treatment program for women with IC/BPS. Based on the literature on this population and evidence-based treatments, the program targeted psychosocial risk factors (pain catastrophizing, depression, social support, disability), with the aim of improving QoL. An expert review was conducted to gather feedback on program content. A pilot study assessed patient perceived usability of and satisfaction with the intervention, which was rated as satisfactory, useful, and valuable by patients. Improvements were made in accordance with patient feedback and the literature. Finally, a wait-list randomized controlled trial (RCT) evaluated the efficacy of the online self-management treatment program. It was hypothesized that treatment group participants would obtain improvements on the primary outcome measures of physical and mental QoL, as well as secondary outcome measures of depression, disability, pain catastrophizing, and social support, when compared with control group participants. Although these hypotheses were not supported, treatment group participants’ 3-month follow-up pain catastrophizing scores were statistically lower than baseline, and there was a clinically meaningful reduction in pain catastrophizing scores for treatment group participants, when compared with control group participants, at study end. The program was deemed highly satisfactory to patients who completed it. Theoretical and clinical implications are discussed. Study results led to considerations for future research. Important limitations of the present study include a large attrition rate and threats to internal validity in follow-up period analyses. Overall, an online self-management treatment program may be a potentially useful intervention for women with IC/BPS, but further research is needed.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.009
GPT teacher head0.238
Teacher spread0.229 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2020
Admission routes1
Has abstractyes

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