ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2024
Development and validation of the HDSIM™ assessment system: a measure of hemorrhoid disease symptom impact.
Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- The Development and Initial Psychometric Testing of a Patient-Reported Outcome Measure to Assess COPD-Related Emotional Distress.International journal of chronic obstructive pulmonary disease · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHemorrhoid disease (HD) affects 10 million people in the US at any given time, and 50% of the US population will develop symptomatic hemorrhoids during their lifetime. Approximately 60% of people with hemorrhoids experience symptoms. Despite its prevalence and impact on quality of life, the existing patient-reported outcome measures of HD have not been validated using standard psychometric methods. The present study thus aimed to develop the Hemorrhoid Disease Symptom Impact Measure™ (HDSIM™) assessment system, a patient-reported measure of HD symptoms and impact for use in HD clinical research.
methodsOn the basis of results from qualitative cognitive interviews, we generated the conceptual model and item pool. A cross-sectional web-based survey (n = 1066) was done, including a randomly selected retest subsample (n = 100) 1-2 weeks later. The survey sample was selected to be evenly distributed across mild, moderate, and severe levels of disease and to be nationally representative of the general United States population in terms of race, gender, and region. Existing disease-specific measures of symptoms and generic measures of quality of life and well-being were compared to the new tool for construct validation.
resultsThe HDSIM system includes 38 items representing six conceptual-model-driven subscales, aligning with the conceptual model: Symptoms at Worst, Symptoms at Best, Bowel Health Impact, Life Impact, Mental Health Impact, and Manageability. Psychometric analyses documented that the subscales had excellent internal consistency reliability, cross-sectional construct validity (i.e., convergent and divergent validity, known groups validity), test-retest stability, and longitudinal construct validity (i.e., responsiveness).
conclusionThe HDSIM system is fit for purpose in hemorrhoid disease clinical trials research. Since measures are validated in an iterative manner over many studies and over time, the present study results should be considered preliminary.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.