They have been shown to be valid , reliable , and responsive , with a low administration burden .
BACKGROUND The aim of this study was to perform a st and ardized and systematic evaluation of the available evidence on multi-item shoulder-specific patient-reported outcome measures that are applicable to a wide spectrum of disorders .
A prediction rule for shoulder pain related sick leave: a prospective cohort study
Background Shoulder pain is common in primary care , and has an unfavourable outcome in many patients . Information about predictors of shoulder pain related sick leave in workers is scarce and inconsistent . The objective was to develop a clinical prediction rule for calculating the risk of shoulder pain related sick leave for individual workers , during the 6 months following first consultation in general practice . Methods A prospect i ve cohort study with 6 months follow-up was conducted among 350 workers with a new episode of shoulder pain . Potential predictors included the results of a physical examination , sociodemographic variables , disease characteristics ( duration of symptoms , sick leave in the 2 months prior to consultation , pain intensity , disability , comorbidity ) , physical activity , physical work load , psychological factors , and the psychosocial work environment . The main outcome measure was sick leave during 6 months following first consultation in general practice . Results Response rate to the follow-up question naire at 6 months was 85 % . During the 6 months after first consultation 30 % ( 89/298 ) of the workers reported sick leave . 16 % ( 47 ) reported 10 days sick leave or more . Sick leave during this period was predicted in a multivariable model by a longer duration of sick leave prior to consultation , more shoulder pain , a perceived cause of strain or overuse during regular activities , and co-existing psychological complaints . The discriminative ability of the prediction model was satisfactory with an area under the curve of 0.70 ( 95 % CI 0.64–0.76 ) . Conclusion Although 30 % of all workers with shoulder pain reported sick leave during follow-up , the duration of sick leave was limited to a few days in most workers . We developed a prediction rule and a score chart that can be used by general practitioners and occupational health care providers to calculate the absolute risk of sick leave in individual workers with shoulder pain , which may help to identify workers who need additional attention . The performance and applicability of our model needs to be tested in other working population s with shoulder pain to enable valid and reliable use of the score chart in everyday practice
They have been shown to be valid , reliable , and responsive , with a low administration burden .
BACKGROUND The aim of this study was to perform a st and ardized and systematic evaluation of the available evidence on multi-item shoulder-specific patient-reported outcome measures that are applicable to a wide spectrum of disorders .