scholarly journals Validating patient and physician versions of the shared decision making questionnaire in oncology setting

2019 ◽  
Vol 9 (2) ◽  
pp. 105-114 ◽  
Author(s):  
Babak Nejati ◽  
Chien-Chin Lin ◽  
Vida Imani ◽  
Maria Browall ◽  
Chung-Ying Lin ◽  
...  
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Cancer Patient ◽  
Psychometric Properties ◽  
Shared Decision Making ◽  
Rasch Model ◽  
Shared Decision ◽  
Item Functioning ◽  
Confirmatory Factor ◽  
Unidimensional Structure

Background: This study investigated the psychometric properties of the 9-Item Shared DecisionMaking Questionnaire (SDM-Q-9) and the 9-Item Shared Decision-Making Questionnaire–Physician version (SDM-Q-Doc) using comprehensive and thorough psychometric methods in an oncology setting. Methods: Cancer survivors (n=1783; 928 [52.05%] males) and physicians (n=154; 121[78.58%] males) participated in this study. Each cancer survivor completed the SDM-Q-9. Physicians completed the SDM-Q-Doc for each of their cancer patient. Confirmatory factor analysis (CFA) and Rasch model were used to test the psychometric properties of SDM-Q-9 and SDM-Q-Doc. Results: SDM-Q-9 and SDM-Q-Doc demonstrated unidimensional structure in CFA and Rasch model. In addition, the measurement invariance was supported for both SDM-Q-9 and SDM-QDoc across sex using the multigroup CFA. Rash analysis indicates no differential item functioning(DIF)across sex for all the SDM-Q-9 and SDM-Q-Doc items. SDM-Q-9 and SDM-Q-Doc were moderately correlated (r=0.41; P<0.001). Conclusion: SDM-Q-9 and SDM-Q-Doc are valid instruments to assess shared decision making in the oncology setting.

scholarly journals Psychometric properties of the Arabic version of the 9-item Shared Decision-Making Questionnaire: the entire process from translation to validation

BMJ Open ◽  
2019 ◽  
Vol 9 (4) ◽  
pp. e026672 ◽  
Author(s):  
Hamzah Alzubaidi ◽  
Amal Hussein ◽  
Kevin Mc Namara ◽  
Isabelle Scholl
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Psychometric Properties ◽  
Shared Decision Making ◽  
United Arab Emirates ◽  
Internal Consistency ◽  
Secondary Care ◽  
Outpatient Clinics ◽  
Shared Decision ◽  
Arabic Version

ObjectiveTo translate the German 9-item Shared Decision-Making Questionnaire (SDM-Q-9) to Arabic and assess its psychometric properties for measuring Arabic-speaking patients' perceptions of the shared decision-making (SDM) process.DesignMulticentre cross-sectional study.SettingSecondary healthcare settings; outpatient clinics of 10 major hospitals were selected in four emirates in the United Arab Emirates (Abu Dhabi, Dubai, Sharjah and Umm Al Quwain).ParticipantsPatients with chronic diseases who attended outpatient clinics of participating hospitals.MeasurementsThe original German SDM-Q-9 was translated to Arabic. International multiphase translation guidelines and the process of cross-cultural adaptation of self-reported measures were used. Various psychometric properties were assessed, including reliability (internal consistency), and construct validity (exploratory factor analysis [EFA] and confirmatory factor analysis [CFA]).ResultsThe final Arabic version of the SDM-Q-9 was tested among 516 secondary care patients. Internal consistency yielded a Cronbach’s alpha of 0.929 for the whole scale. EFA showed a one-factorial solution, Kaiser-Meyer-Olkin measure of sampling adequacy was 0.907 and Bartlett’s test of sphericity was significant (χ2=3413.69, df=36, p<0.0005). For the CFA, two different models were tested; Model 1 included the nine items and Model 2 was monofactorial that included items 2–9 and thus excluded item 1. Both models were adequate as they produced similar indices.ConclusionsThe Arabic version of SDM-Q-9 showed excellent reliability and acceptable validity parameters among secondary care patients. The newly translated Arabic questionnaire is the first psychometrically tested tool that can be used in the 22 member states of the Arab league to assess patients’ perspectives on the SDM process.

scholarly journals Investigating psychometric properties of the Thai version of the Zarit Burden Interview using rasch model and confirmatory factor analysis

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Kanokporn Pinyopornpanish ◽  
Manee Pinyopornpanish ◽  
Nahathai Wongpakaran ◽  
Tinakon Wongpakaran ◽  
Atiwat Soontornpun ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Rasch Model ◽  
Zarit Burden Interview ◽  
Confirmatory Factor

scholarly journals The Psychometric Properties of CollaboRATE: A Fast and Frugal Patient-Reported Measure of the Shared Decision-Making Process

2014 ◽  
Vol 16 (1) ◽  
pp. e2 ◽  
Author(s):  
Paul James Barr ◽  
Rachel Thompson ◽  
Thom Walsh ◽  
Stuart W Grande ◽  
Elissa M Ozanne ◽  
...  
Keyword(s):  
Decision Making ◽  
Psychometric Properties ◽  
Shared Decision Making ◽  
Decision Making Process ◽  
Shared Decision ◽  
Patient Reported

scholarly journals The Indonesian Version of the Physics Metacognition Inventory: Confirmatory Factor Analysis and Rasch Model

2021 ◽  
Vol 10 (4) ◽  
pp. 2133-2144
Author(s):  
Moh. Irma ◽  
Jumadi Jumadi ◽  
Heru Kuswanto ◽  
M. Anas
Keyword(s):  
Factor Analysis ◽  
Academic Success ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Rasch Model ◽  
Rating Scales ◽  
School Level ◽  
Future Research ◽  
High School Level ◽  
Confirmatory Factor

<p style="text-align: justify;">Metacognition inventory supports increased awareness and self-control to improve student’s academic success, including physics. However, there are limitations to revealing the Physics Metacognition Inventory (PMI), especially in Indonesia. This study aims to explore and evaluate the psychometric properties of PMI. This survey research has involved 479 students from three high schools in Indonesia. The psychometric properties of the I-PMI were evaluated using a Confirmatory Factor Analysis and Rasch Model approach. The results show that the Indonesian Physics Metacognition Inventory (I-PMI) is collected in 6 constructs from 26 items. The validity, reliability, and compatibility tests have also been analyzed with good results. The five rating scales used have adequate functionality. This research has also presented more comprehensive information about the Physics Metacognition Inventory in the context of Indonesian culture. This study has implications for using I-PMI to assess students’ metacognition at the high school level in Indonesia and recommendations for future research.</p>

scholarly journals Correction to: Investigating psychometric properties of the Thai version of the Zarit Burden Interview using rasch model and confirmatory factor analysis

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Kanokporn Pinyopornpanish ◽  
Manee Pinyopornpanish ◽  
Nahathai Wongpakaran ◽  
Tinakon Wongpakaran ◽  
Atiwat Soontornpun ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Rasch Model ◽  
Zarit Burden Interview ◽  
Confirmatory Factor

Communicating shared decision-making: Cancer patient perspectives

2013 ◽  
Vol 90 (3) ◽  
pp. 291-296 ◽  
Author(s):  
Sally Thorne ◽  
John L. Oliffe ◽  
Kelli I. Stajduhar
Keyword(s):  
Decision Making ◽  
Cancer Patient ◽  
Shared Decision Making ◽  
Patient Perspectives ◽  
Shared Decision

scholarly journals Development and testing of the shared decision-making attitudes scale among nurses in Taiwan: a cross-sectional scale development study

BMJ Open ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. e044733
Author(s):  
Hsiu-Chin Hsu ◽  
Shu-Chuan Lin ◽  
Yu-Hsia Lee ◽  
Hon-Yen Wu ◽  
Pao-Yu Wang ◽  
...  
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Receiver Operating Characteristic Curve ◽  
Shared Decision Making ◽  
Nursing Staff ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Shared Decision ◽  
Group Validity ◽  
Operating Characteristic Curve

ObjectiveShared decision-making (SDM) enhances medical care, but an appropriate tool for evaluating nursing staff’s attitudes towards SDM in clinical practice is lacking. The objective of this study is to develop the Nursing Shared Decision-Making Attitude (NSDMA) scale and verify its psychometric properties.DesignInstrument design study.ParticipantsA sample of 451 nursing staff.InterventionThis study comprised two phases. In phase 1, qualitative research and expert content validity were adopted to develop the first draft of the scale. In phase 2, Taiwanese nursing staff were recruited through convenience sampling, and the sample was divided into a calibration sample and a validation sample. An objective structured clinical examination of SDM attitudes was administered to 100 nursing staff to determine the scale’s cut-off score.Main outcome measurementsExploratory factor analysis and confirmatory factor analysis were used to obtain the underlying factors of the NSDMA scale; McDonald’s omega value was used to determine the reliability; known-group validity was used to test the construct validity; and the receiver operating characteristic curve was adopted to determine the scale’s cut-off score.ResultsIn total, two factors were identified from the instrument results, which were termed ‘empathic communication’ and ‘mastery learning’. The McDonald’s omega value of the overall scale was 0.92. Known-group validity testing was performed based on the staff’s participation in SDM courses and experience of SDM, and the results exhibited significant differences (t=5.49, p<0.001; t=2.43, p<0.05). Based on the receiver operating characteristic curve, the optimal cut-off for SDM attitudes was determined as 48.5 points.ConclusionsThe NSDMA scale enables the evaluation of SDM attitudes among clinical nursing staff and nursing managers; the results may serve as a reference for incorporation of SDM into nursing policy formulation.

Cancer Patient Perspectives on the Use of Clinical Pathways and Shared Decision-Making in Cancer Care

2018 ◽  
Vol 4 (11) ◽  
pp. 46-50
Author(s):  
Elizabeth F Franklin ◽  
Helen M Nichols ◽  
Ellyn Charap ◽  
Joanne S Buzaglo ◽  
Shauna McManus ◽  
...  
Keyword(s):  
Decision Making ◽  
Cancer Patient ◽  
Shared Decision Making ◽  
Cancer Care ◽  
Clinical Pathways ◽  
Patient Perspectives ◽  
Shared Decision
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