Search results for "data collection tools"

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Minimal clinically important difference and minimal detectable change of the World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0…

2020

Objectives: The aim of this study is to estimate a minimal clinically important difference (MCID) and a minimal detectable change (MDC) of the 12-item WHODAS 2.0 amongst patients with chronic musculoskeletal pain. Design: Cross-sectional cohort study. Setting: Outpatient Physical and Rehabilitation Medicine clinic. Subjects: A total of 1988 consecutive patients with musculoskeletal pain. Interventions: A distribution-based approach was employed to estimate a minimal clinically important difference, a minimal detectable change, and a minimal detectable percent change (MDC%). Results: The mean age of the patients was 48 years, and 65% were women. The average intensity of pain was 6,3 (2.0) po…

MaleMusculoskeletal painSchedule2019-20 coronavirus outbreakmedicine.medical_specialtyCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)WHODASPhysical Therapy Sports Therapy and Rehabilitationminimal detectable changetuki- ja liikuntaelimetWorld healthDisability assessmentCohort StudiesDisability EvaluationMusculoskeletal PainHumansMedicineskin and connective tissue diseasesmusculoskeletal painPain Measurementbusiness.industryMinimal clinically important differenceminimal clinically important differenceRehabilitationkipuMiddle AgedCross-Sectional StudiesPhysical therapyFemalesense organsWhodasChronic PainbusinessData Collection toolsClinical Rehabilitation
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A Mobile Diary Method for Studying Children’s and Adolescents’ Emotions : A Pilot Study

2015

Researching children’s and adolescents’ emotions from their own perspectives possesses special requirements for the data collection tools used. In this study, children’s and early adolescents’ emotions were investigated using a mobile diary method. The article describes and evaluates this data collection method and presents empirical results on fluctuation in the emotions of children and adolescents (n = 60, aged 7–14 years). The data, in the form of short text messages, were collected over one week. Every evening, children received seven questions on their emotions. Multilevel modeling was used to analyze the data. The results illustrate the potential of the mobile diary method with childr…

data collection toolsmulti-level modelingchildrentunteetmobile diary methodearly adolescents
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