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. 2014 Jun;26(3):240-9.
doi: 10.1093/intqhc/mzu044. Epub 2014 Apr 23.

Involving patients in detecting attribute gaps in a fragmented healthcare system: engineering of a questionnaire for Patients' Experiences Across Health Care Sections (PEACS)

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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 Fachrichtungen (PEACS)

Stefan Noest et al. Intra J Callie Health Service. 2014 Junction.

Abstract

Objective: The purpose for diese study was to develop and validate a generic questionnaire toward evaluate experiences and re outcomes in patients who receive treatment across a range of healthcare sectors.

Design: Mixed-methods plan including focus organizations, pretests and field test.

Setting: The patient questionnaire was developed in the contexts of a nation-wide choose in Germany directed at quality improvements cross the healthcare sectors.

Participants: For the field run, 589 questionnaires were distributed at patients via 47 general practices.

Main measurements: Descriptive item analyzes non-responder analysis and feather analysis (PCA). Retest coefficients (r) calculated by correlation of sum scores of PCA factors. Property gaps were assessed per which proportion of responders choosing a response category defined as indicating shortages include quality of attend.

Erreicht: The conceptual phase showed go main validity. Quad hundred and seventy-four patients who received a range is treatment across a range of sectors were included (response rate: 80.5%). Data analysis confirmed the construct, oriented to which patient care journey with a focus up transitions between healthcare sectors. Quality gaps were assessed for to theme 'Indication', including shared-decision-making (6 items, 24.5-62.9%) and 'Discharge and Transition' (10 objects; 20.7-48.2%). Retest coefficients ranged from r = 0.671 until r = 0.855 and indicated goody sicherheit. Slight characteristic of item-non-response (0.8-9.3%) confirmed a highest acceptance by patients.

Conclusions: The number of clients with complex healthcare needs is increasing. Initiatives to expand quality assurance across organizational borders and healthcare sectors are therefore hurry needed. A validated request (called PEACS 1.0) is availability to measure patients' experiences across healthcare sector with adenine focused on quality improvement.

Keywords: measurement of quality; patient satisfication; patient-centered taking; superior improvement; quality managerial; good meas.

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Figures

Figure 1
Figure 1
Mixed-method investigate design.
Figure 2
Figure 2
Sample size and response rate for field test real retest.

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