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Involving patients in detecting quality gaps in a fragmented healthcare system: development of a questionnaire for Patients' Experiences Across Health Care Sectors (PEACS)

OBJECTIVE: The purpose of this study was to develop and validate a generic questionnaire to evaluate experiences and reported outcomes in patients who receive treatment across a range of healthcare sectors. DESIGN: Mixed-methods design including focus groups, pretests and field test. SETTING: The pa...

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Autores principales: Noest, Stefan, Ludt, Sabine, Klingenberg, Anja, Glassen, Katharina, Heiss, Friederike, Ose, Dominik, Rochon, Justine, Bozorgmehr, Kayvan, Wensing, Michel, Szecsenyi, Joachim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4041096/
https://www.ncbi.nlm.nih.gov/pubmed/24758750
http://dx.doi.org/10.1093/intqhc/mzu044
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author Noest, Stefan
Ludt, Sabine
Klingenberg, Anja
Glassen, Katharina
Heiss, Friederike
Ose, Dominik
Rochon, Justine
Bozorgmehr, Kayvan
Wensing, Michel
Szecsenyi, Joachim
author_facet Noest, Stefan
Ludt, Sabine
Klingenberg, Anja
Glassen, Katharina
Heiss, Friederike
Ose, Dominik
Rochon, Justine
Bozorgmehr, Kayvan
Wensing, Michel
Szecsenyi, Joachim
author_sort Noest, Stefan
collection PubMed
description OBJECTIVE: The purpose of this study was to develop and validate a generic questionnaire to evaluate experiences and reported outcomes in patients who receive treatment across a range of healthcare sectors. DESIGN: Mixed-methods design including focus groups, pretests and field test. SETTING: The patient questionnaire was developed in the context of a nationwide program in Germany aimed at quality improvements across the healthcare sectors. PARTICIPANTS: For the field test, 589 questionnaires were distributed to patients via 47 general practices. MAIN MEASUREMENTS: Descriptive item analyzes non-responder analysis and factor analysis (PCA). Retest coefficients (r) calculated by correlation of sum scores of PCA factors. Quality gaps were assessed by the proportion of responders choosing a response category defined as indicating shortcomings in quality of care. RESULTS: The conceptual phase showed good content validity. Four hundred and seventy-four patients who received a range of treatment across a range of sectors were included (response rate: 80.5%). Data analysis confirmed the construct, oriented to the patient care journey with a focus on transitions between healthcare sectors. Quality gaps were assessed for the topics ‘Indication’, including shared-decision-making (6 items, 24.5–62.9%) and ‘Discharge and Transition’ (10 items; 20.7–48.2%). Retest coefficients ranged from r = 0.671 until r = 0.855 and indicated good reliability. Low ratios of item-non-response (0.8–9.3%) confirmed a high acceptance by patients. CONCLUSIONS: The number of patients with complex healthcare needs is increasing. Initiatives to expand quality assurance across organizational borders and healthcare sectors are therefore urgently needed. A validated questionnaire (called PEACS 1.0) is available to measure patients' experiences across healthcare sectors with a focus on quality improvement.
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spelling pubmed-40410962014-06-02 Involving patients in detecting quality gaps in a fragmented healthcare system: development of a questionnaire for Patients' Experiences Across Health Care Sectors (PEACS) Noest, Stefan Ludt, Sabine Klingenberg, Anja Glassen, Katharina Heiss, Friederike Ose, Dominik Rochon, Justine Bozorgmehr, Kayvan Wensing, Michel Szecsenyi, Joachim Int J Qual Health Care Papers OBJECTIVE: The purpose of this study was to develop and validate a generic questionnaire to evaluate experiences and reported outcomes in patients who receive treatment across a range of healthcare sectors. DESIGN: Mixed-methods design including focus groups, pretests and field test. SETTING: The patient questionnaire was developed in the context of a nationwide program in Germany aimed at quality improvements across the healthcare sectors. PARTICIPANTS: For the field test, 589 questionnaires were distributed to patients via 47 general practices. MAIN MEASUREMENTS: Descriptive item analyzes non-responder analysis and factor analysis (PCA). Retest coefficients (r) calculated by correlation of sum scores of PCA factors. Quality gaps were assessed by the proportion of responders choosing a response category defined as indicating shortcomings in quality of care. RESULTS: The conceptual phase showed good content validity. Four hundred and seventy-four patients who received a range of treatment across a range of sectors were included (response rate: 80.5%). Data analysis confirmed the construct, oriented to the patient care journey with a focus on transitions between healthcare sectors. Quality gaps were assessed for the topics ‘Indication’, including shared-decision-making (6 items, 24.5–62.9%) and ‘Discharge and Transition’ (10 items; 20.7–48.2%). Retest coefficients ranged from r = 0.671 until r = 0.855 and indicated good reliability. Low ratios of item-non-response (0.8–9.3%) confirmed a high acceptance by patients. CONCLUSIONS: The number of patients with complex healthcare needs is increasing. Initiatives to expand quality assurance across organizational borders and healthcare sectors are therefore urgently needed. A validated questionnaire (called PEACS 1.0) is available to measure patients' experiences across healthcare sectors with a focus on quality improvement. Oxford University Press 2014-06 2014-04-23 /pmc/articles/PMC4041096/ /pubmed/24758750 http://dx.doi.org/10.1093/intqhc/mzu044 Text en © The Author 2014. Published by Oxford University Press in association with the International Society for Quality in Health Care. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Papers
Noest, Stefan
Ludt, Sabine
Klingenberg, Anja
Glassen, Katharina
Heiss, Friederike
Ose, Dominik
Rochon, Justine
Bozorgmehr, Kayvan
Wensing, Michel
Szecsenyi, Joachim
Involving patients in detecting quality gaps in a fragmented healthcare system: development of a questionnaire for Patients' Experiences Across Health Care Sectors (PEACS)
title Involving patients in detecting quality gaps in a fragmented healthcare system: development of a questionnaire for Patients' Experiences Across Health Care Sectors (PEACS)
title_full Involving patients in detecting quality gaps in a fragmented healthcare system: development of a questionnaire for Patients' Experiences Across Health Care Sectors (PEACS)
title_fullStr Involving patients in detecting quality gaps in a fragmented healthcare system: development of a questionnaire for Patients' Experiences Across Health Care Sectors (PEACS)
title_full_unstemmed Involving patients in detecting quality gaps in a fragmented healthcare system: development of a questionnaire for Patients' Experiences Across Health Care Sectors (PEACS)
title_short Involving patients in detecting quality gaps in a fragmented healthcare system: development of a questionnaire for Patients' Experiences Across Health Care Sectors (PEACS)
title_sort involving patients in detecting quality gaps in a fragmented healthcare system: development of a questionnaire for patients' experiences across health care sectors (peacs)
topic Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4041096/
https://www.ncbi.nlm.nih.gov/pubmed/24758750
http://dx.doi.org/10.1093/intqhc/mzu044
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