BACKGROUND: Patient satisfaction surveys are increasingly used by hospitals. Many questionnaires are available, but little evidence exists to guide the choice of the most suitable instrument. OBJECTIVE: To compare the acceptability and patient perceptions of 4 patient satisfaction questionnaires. RESEARCH DESIGN: Randomized trial of 4 satisfaction questionnaires: Picker, Patient Judgment System (PJS), Sequs, and a locally developed Lausanne questionnaire. SUBJECTS:Patients discharged from 2 Swiss teaching hospitals (n = 2850). MEASURES: Response rates, missing data, completion time, and patient ratings of the questionnaire (5-point agree-disagree scale). RESULTS:Response rates were similar across instruments (Picker: 70%, PJS: 71%, Sequs: 68%, Lausanne: 73%; P= 0.27). The Picker questionnaire had the most missing responses (mean per item: Picker: 3.1%, PJS: 1.9%, Sequs: 1.6%, Lausanne: 1.1%; P<0.001) and took the longest to complete (minutes: Picker: 19.3, PJS: 12.5, Sequs: 13.4, Lausanne: 13.1; P<0.001), but the fewest patients indicated that the questionnaire failed to address at least 1 important aspect of the hospital stay (Picker: 28.2%, PJS: 38.8%, Sequs: 39.1%, Lausanne: 28.9%; P<0.001). Patient evaluations of the questionnaires were generally similar; the most favorable assessment was chosen by approximately half of the respondents (average of 10 items: Picker: 46.5%, PJS: 46.2%, Sequs: 47.4%, Lausanne: 48.2%; P= 0.60). Key survey results differed considerably by questionnaire. CONCLUSIONS: No questionnaire emerged as uniformly better than the others in terms of acceptability and patient evaluations. All 4 could be used for patient satisfaction surveys.
RCT Entities:
BACKGROUND:Patient satisfaction surveys are increasingly used by hospitals. Many questionnaires are available, but little evidence exists to guide the choice of the most suitable instrument. OBJECTIVE: To compare the acceptability and patient perceptions of 4 patient satisfaction questionnaires. RESEARCH DESIGN: Randomized trial of 4 satisfaction questionnaires: Picker, Patient Judgment System (PJS), Sequs, and a locally developed Lausanne questionnaire. SUBJECTS:Patients discharged from 2 Swiss teaching hospitals (n = 2850). MEASURES: Response rates, missing data, completion time, and patient ratings of the questionnaire (5-point agree-disagree scale). RESULTS: Response rates were similar across instruments (Picker: 70%, PJS: 71%, Sequs: 68%, Lausanne: 73%; P= 0.27). The Picker questionnaire had the most missing responses (mean per item: Picker: 3.1%, PJS: 1.9%, Sequs: 1.6%, Lausanne: 1.1%; P<0.001) and took the longest to complete (minutes: Picker: 19.3, PJS: 12.5, Sequs: 13.4, Lausanne: 13.1; P<0.001), but the fewest patients indicated that the questionnaire failed to address at least 1 important aspect of the hospital stay (Picker: 28.2%, PJS: 38.8%, Sequs: 39.1%, Lausanne: 28.9%; P<0.001). Patient evaluations of the questionnaires were generally similar; the most favorable assessment was chosen by approximately half of the respondents (average of 10 items: Picker: 46.5%, PJS: 46.2%, Sequs: 47.4%, Lausanne: 48.2%; P= 0.60). Key survey results differed considerably by questionnaire. CONCLUSIONS: No questionnaire emerged as uniformly better than the others in terms of acceptability and patient evaluations. All 4 could be used for patient satisfaction surveys.
Authors: Allison Squires; Luk Bruyneel; Linda H Aiken; Koen Van den Heede; Tomasz Brzostek; Reinhard Busse; Anneli Ensio; Maria Schubert; Dimitrios Zikos; Walter Sermeus Journal: Int J Qual Health Care Date: 2012-07-17 Impact factor: 2.038
Authors: Thomas V Perneger; Delphine S Courvoisier; Patricia M Hudelson; Angèle Gayet-Ageron Journal: Qual Life Res Date: 2014-07-10 Impact factor: 4.147
Authors: Barbara Gomes; Paul McCrone; Sue Hall; Julia Riley; Jonathan Koffman; Irene J Higginson Journal: Support Care Cancer Date: 2013-06-08 Impact factor: 3.603
Authors: Isabelle Peytremann-Bridevaux; Frédy Scherer; Laurence Peer; Federico Cathieni; Charles Bonsack; Agatta Cléopas; Véronique Kolly; Thomas V Perneger; Bernard Burnand Journal: BMC Health Serv Res Date: 2006-08-28 Impact factor: 2.655
Authors: Anke Wind; Mark Patrick Roeling; Jana Heerink; Herman Sixma; Pietro Presti; Claudio Lombardo; Wim van Harten Journal: BMC Cancer Date: 2016-09-02 Impact factor: 4.430
Authors: Philip James Edwards; Ian Roberts; Mike J Clarke; Carolyn Diguiseppi; Reinhard Wentz; Irene Kwan; Rachel Cooper; Lambert M Felix; Sarah Pratap Journal: Cochrane Database Syst Rev Date: 2009-07-08