ArticleScandinavian journal of primary health care2010
The Patient Experiences Questionnaire for Out-of-Hours Care (PEQ-OHC): data quality, reliability, and validity.
Article in Scandinavian journal of primary health care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of the validity and reliability of patient-reported experience measures.Health services research · 2019Pooled it
- Development and preliminary testing of a patient reported experience measure for chronic disease patients in Singapore.BMC health services research · 2025Article
- Review
- Perception and satisfaction of patients after telemedicine urology consultations: A matched analysis with physicians' perspective.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2022Article
- Validation and Adjustment of the Patient Experience Questionnaire (PEQ): A Regional Hospital Study in Norway.International journal of environmental research and public health · 2021Article
- Article
- The Adolescent Patient Experiences of Diabetes Care Questionnaire (APEQ-DC): Reliability and Validity in a Study Based on Data from the Norwegian Childhood Diabetes Registry.Patient related outcome measures · 2019Article
- Parent experiences of diabetes care questionnaire (PEQ-DC): reliability and validity following a national survey in Norway.BMC health services research · 2018Article
- The Norwegian patient experiences with GP questionnaire (PEQ-GP): reliability and construct validity following a national survey.BMJ open · 2017Article
- Patient experiences questionnaire for interdisciplinary treatment for substance dependence (PEQ-ITSD): reliability and validity following a national survey in Norway.BMC psychiatry · 2017Article
- Instruments to assess patient satisfaction after teleconsultation and triage: a systematic review.Patient preference and adherence · 2014Article
- The physician's self-evaluation of the consultation and patient outcome: a longitudinal study.Scandinavian journal of primary health care · 2013Article
- Article
- The association between demographic factors, user reported experiences and user satisfaction: results from three casualty clinics in Norway.BMC family practice · 2010Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop and evaluate the Patient Experiences Questionnaire for Out-of-Hours Care (PEQ-OHC) in Norway.
designQuestionnaire development was based on a systematic literature review of existing questionnaires, interviews with users, and expert group consultation. Questionnaire testing followed a postal survey of users who had attended out-of-hours centres in the North, West, and South of Norway.
settingPrimary care out-of-hours services. SUBJECTS: The questionnaire was pre-tested with 13 users and was then mailed to 542 users who had had telephone contact and/or had a consultation with one of three out-of-hours centres.
main outcome measuresData quality, internal consistency, reliability, and construct validity.
resultsThe questionnaire was considered to have good content validity by the expert group. There were 225 (41.51%) respondents to the postal questionnaire. Levels of missing data at the item and scale level were acceptable. Principal component analysis supported the four scales of user experiences relating to telephone contact, doctor services, nursing services, and organization. Item-total correlations were all above 0.5 and Cronbach's alpha was above 0.80 for all scales. Statistically significant associations based on explicit hypotheses were evidence for the construct validity of the PEQ-OHC.
conclusionThe development of the PEQ-OHC followed a rigorous process based on a systematic review, interviews with users, and an expert group which lend the questionnaire content validity. The PEQ-OHC has evidence for data quality, internal consistency, reliability, and construct validity.
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