The discriminative power of patient experience surveys

BackgroundComparisons of patient experiences between providers are increasingly used as an index of performance. The present study describes the ability of patient experience surveys to discriminate between healthcare providers for various patient groups and quality aspects, and reports the sample sizes required for reliable (comparisons of) provider scores.MethodThe consumer quality index is a family of surveys that are tailored to specific patient groups. Data was used from patients who underwent cataract surgery, patients who underwent hip or knee surgery, patients suffering from spinal disc herniation and patients suffering from varicose veins. Multi-level regression models were fitted to assess the proportion of variance in patient experiences that is attributable to providers for various quality aspects.ResultsThe proportion of variance in patient experiences that is attributable to providers varied from 0.001 to 0.054. The required sample size for reliable estimates at the provider level varied from 41 to 1967 per provider. Differences in discriminative power between patient groups and/or quality aspects were inconsistent, with one exception: for all groups, the discriminative power of experiences regarding change in physical functioning was particularly limited.ConclusionsFrom a statistical point of view, the discriminative power appears limited. The sample sizes required for reliable estimates are often substantial and deserve careful consideration when setting up measurements. Future research should evaluate the discriminative power by validating differences between providers in patient experiences with other indices and should explore other, more sensitive measures of patient experiences regarding treatment-related changes in physical functioning.

[1]  F. Hiddema,et al.  Quality of care from the perspective of the cataract patient: the reliability and validity of the QUOTE-Cataract , 2002, The British journal of ophthalmology.

[2]  A James O'Malley,et al.  Methods used to streamline the CAHPS Hospital Survey. , 2005, Health services research.

[3]  C. V. Campen,et al.  Quality of care from the patients' perspective: from theoretical concept to a new measuring instrument , 1998, Health expectations : an international journal of public participation in health care and health policy.

[4]  Using Multilevel Modeling to Assess Case-Mix Adjusters in Consumer Experience Surveys in Health Care , 2009, Medical care.

[5]  Alan M Zaslavsky,et al.  Plan, geographical, and temporal variation of consumer assessments of ambulatory health care. , 2004, Health services research.

[6]  D. B. Elliott,et al.  Epilogue: Early lessons from CAHPS Demonstrations and Evaluations. Consumer Assessment of Health Plans Study. , 1999, Medical care.

[7]  Paul D Cleary,et al.  Psychometric Properties of the Consumer Assessment of Health Plans Study (CAHPS®) 2.0 Adult Core Survey , 2003 .

[8]  Harvey Goldstein,et al.  League Tables and Their Limitations: Statistical Issues in Comparisons of Institutional Performance , 1996 .

[9]  P. Shekelle,et al.  Systematic Review: The Evidence That Publishing Patient Care Performance Data Improves Quality of Care , 2008, Annals of Internal Medicine.

[10]  A. Zaslavsky,et al.  Psychometric Properties of a Group-Level Consumer Assessment of Health Plans Study (CAHPS) Instrument , 2005, Medical care.

[11]  D. Delnoij,et al.  Patients' experiences with quality of hospital care: the Consumer Quality Index Cataract Questionnaire , 2007, BMC ophthalmology.

[12]  O. Arah,et al.  Made in the USA: the import of American Consumer Assessment of Health Plan Surveys (CAHPS) into the Dutch social insurance system. , 2006, European journal of public health.

[13]  R. Hays,et al.  Patient Reports and Ratings of Individual Physicians: An Evaluation of the DoctorGuide and Consumer Assessment of Health Plans Study Provider-Level Surveys , 2003, American journal of medical quality : the official journal of the American College of Medical Quality.

[14]  Sandra Eldridge,et al.  Patterns of intra-cluster correlation from primary care research to inform study design and analysis. , 2004, Journal of clinical epidemiology.

[15]  J. Rasker,et al.  Assessing patients' priorities and perceptions of the quality of health care: the development of the QUOTE-Rheumatic-Patients instrument. , 1998, British journal of rheumatology.

[16]  H. Sixma,et al.  Quality of Care from the Perspective of The , 2022 .

[17]  M. Young,et al.  Health services research , 2008, Journal of General Internal Medicine.

[18]  T. Gelsema,et al.  The Consumer Quality Index Hip Knee Questionnaire measuring patients' experiences with quality of care after a total hip or knee arthroplasty , 2007, BMC Health Services Research.

[19]  P. Groenewegen,et al.  The Dutch Consumer Quality Index: an example of stakeholder involvement in indicator development , 2010, BMC health services research.

[20]  Robert L Kane,et al.  Improving quality assessment through multilevel modeling: the case of nursing home compare. , 2007, Health services research.

[21]  A M Zaslavsky,et al.  Statistical issues in reporting quality data: small samples and casemix variation. , 2001, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[22]  M. Porter,et al.  Redefining competition in health care. , 2004, Harvard business review.

[23]  J. V. D. van der Meer,et al.  QUOTE-HIV: an instrument for assessing quality of HIV care from the patients’ perspective , 2003, Quality & safety in health care.

[24]  Karen A. Hartman,et al.  Improvement in health-related quality of life after hospitalization predicts event-free survival in patients with advanced heart failure. , 2009, Journal of cardiac failure.

[25]  A James O'Malley,et al.  Case-mix adjustment of the CAHPS Hospital Survey. , 2005, Health services research.

[26]  Roel Bosker,et al.  Multilevel analysis : an introduction to basic and advanced multilevel modeling , 1999 .