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Record W4414832531 · doi:10.2196/72018

A Primary Care Program Based on Behavioral Reeducation and Abdominal Massage for Improving the Symptoms of Chronic Constipation: Protocol for a Randomized Controlled Trial

2025· article· en· W4414832531 on OpenAlexvenueno aff
Cristina Segura-Bayona, Josep Vidal‐Alaball, Anna Ramírez‐Morros, Queralt Miró Catalina, Anna Ruiz‐Comellas

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsnot available
Fundersnot available
KeywordsRandomized controlled trialPsychological interventionProtocol (science)Primary careMassageHealth careAlternative medicinePublic health

Abstract

fetched live from OpenAlex

Background: Chronic constipation is a prevalent and often underestimated gastrointestinal disorder that significantly affects quality of life, particularly among women and older adults. In Spain, it is estimated to affect between 12% and 20% of the population, contributing to increased health care visits, economic costs, and medication dependency. Although pharmacological treatments such as laxatives are widely used, they often offer only temporary relief and may lead to adverse effects or dependency. There is growing interest in nonpharmacological interventions that address the root behavioral and functional causes of constipation, such as dietary habits, physical inactivity, and impaired defecation techniques. However, evidence regarding the effectiveness of such approaches, especially within a primary care setting, remains limited. Objective: This study aims to evaluate the effectiveness of a primary care-based structured rehabilitation program that combines behavioral reeducation and abdominal massage therapy in reducing the severity of chronic constipation and use of laxatives. A secondary aim is to assess improvements in quality of life and sustainability of effects over time. Methods: This is a randomized controlled trial involving adults aged 18 to 75 years from the counties of l'Anoia and Bages (Catalonia, Spain) who meet the Rome IV diagnostic criteria for chronic constipation. A total of 45 participants will be randomly assigned in a 1:1:1 ratio (approximately 22-23 per center, with 15 per group overall) into 3 groups: a control group, behavioral intervention (BI) group, and behavioral intervention and massage (BIM) group. All participants will complete baseline assessments that include the Rome IV criteria, the Bristol Stool Form Scale, the CVE-20 quality of life questionnaire, and the International Physical Activity Questionnaire. The BI group will receive 2 group education sessions, focused on healthy bowel habits, diet, hydration, physical activity, stress management, and medication use, delivered by a multidisciplinary team. The BIM group will receive the same intervention as the BI group, plus two 30-minute sessions with a physiotherapist to learn abdominal self-massage techniques. The control group will receive usual care. Follow-up assessments will occur at 3 and 6 months after the intervention using the same instruments and a self-recorded calendar of laxative use and massage application. Data will be analyzed using appropriate statistical tests, including the χ2 test, a 2-tailed t test, and ANOVA/Kruskal-Wallis tests, depending on variable type. Results: Participant enrollment concluded in August 2025, and data collection is ongoing and expected to continue until April 2026. Conclusions: This trial will provide evidence on the efficacy of conservative, low-risk interventions for managing chronic constipation in primary care. The findings may support broader implementation of integrative approaches that reduce pharmacological dependence and enhance patient empowerment, with potential public health and economic benefits.

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)0.026
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.065
Threshold uncertainty score0.218

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.020
Meta-epidemiology (narrow)0.0070.003
Meta-epidemiology (broad)0.0170.007
Bibliometrics0.0030.004
Science and technology studies0.0040.004
Scholarly communication0.0040.004
Open science0.0040.002
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0650.009

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 head0.097
GPT teacher head0.527
Teacher spread0.430 · 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 designRandomized trial
Domainnot available
GenreProtocol

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

Citations2
Published2025
Admission routes1
Has abstractyes

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