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Background: Shoulder pain is one of the main symptoms of patients treated at orthopaedic clinics. The Constant score (CS) is widely used in the literature to assess shoulder functional outcomes. To the authors' knowledge, no outcome measure has been related to shoulder complaints in Indonesia.
Purpose: To perform a translation and cross-cultural adaptation and assess the validity and reliability of the Indonesian CS (CS-INA) as a shoulder functional assessment instrument in Indonesia.
Study Design: Cohort study (Diagnosis); Level of evidence, 2.
Methods: After a translation cross-cultural adaptation of the CS into the Indonesian language was performed, the validity and reliability of the CS-INA were investigated. Data from patients with shoulder pain were collected consecutively in the orthopaedic clinic of 2 tertiary hospitals in Jakarta in 2023. The validity and reliability study of the final version of the CS-INA was conducted by 1 researcher in 2 meetings within 1 week. The Indonesian version of the 36-item Short Form Survey (SF-36) questionnaire was also given to the respondents. The correlation between CS-INA and SF-36 was determined to evaluate construct validity, whereas internal consistency, intraclass correlation, standard error of measurement (SEM), and minimal detectable change (MDC) were calculated to provide data on reliability.
Results: A total of 102 shoulders (101 patients) were included in the study. CS-INA showed excellent construct validity with SF-36 (Pearson correlation 0.90; < .05). The reliability study showed good internal consistency (Cronbach α = 0.85) and intraclass correlation (ICC = 0.86). The SEM of the test and retest was 7.37, whereas the MDC was 14.3. No floor or ceiling effects were observed in this study.
Conclusion: The Indonesian version of the Constant score showed good validity and reliability for the Indonesian population experiencing shoulder pain.
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http://dx.doi.org/10.1177/23259671251360415 | DOI Listing |
Health Inf Manag
September 2025
Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Background: The success of disease registry systems (DRSs) depends on developing software that aligns with the registry's specific needs.
Objective: This study focuses on localising the Checklist with Items for Patient Registry sOftware Systems (CIPROS) to facilitate the DRS assessment.
Method: This applied and cross-sectional study was carried out in 2023 in six phases.
Scand J Rheumatol
September 2025
The Parker Institute, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Frederiksberg, Denmark.
Objective: Pain hypersensitivity and hypersensitivity to other sensory modalities (visual, auditory, olfactory, and tactile) are considered defining features in nociplastic pain states. A self-report measure of sensory sensitivity may help to characterize sensory profiles across pain populations. This study aimed to evaluate the psychometric properties of a newly developed Danish nine-item Sensory Sensitivity Profile (SSP) questionnaire in patients with fibromyalgia.
View Article and Find Full Text PDFFront Immunol
September 2025
Department of Medicine, Division of Hematology, Bioclinicum and Center for Molecular Medicine, Karolinska Institute and Karolinska University Hospital Solna, Stockholm, Sweden.
Background: Metabolic reprogramming is an important hallmark of cervical cancer (CC), and extensive studies have provided important information for translational and clinical oncology. Here we sought to determine metabolic association with molecular aberrations, telomere maintenance and outcomes in CC.
Methods: RNA sequencing data from TCGA cohort of CC was analyzed for their metabolic gene expression profile and consensus clustering was then performed to classify tumors into different groups/subtypes.
Int J Chron Obstruct Pulmon Dis
September 2025
The First Clinical Medical College of Lanzhou University, Lanzhou, People's Republic of China.
Chronic Obstructive Pulmonary Disease (COPD) is a prevalent chronic respiratory disorder characterized by airway inflammation and irreversible airflow limitation. Its marked heterogeneity and complexity pose significant challenges to traditional clinical assessments in terms of prognostic prediction and personalized management. In recent years, the exploration of biomarkers has opened new avenues for the precise evaluation of COPD, particularly through multi-biomarker prediction models and integrative multimodal data strategies, which have substantially improved the accuracy and reliability of prognostic assessments.
View Article and Find Full Text PDF