Literature DB >> 15076825

How many patients are needed to provide reliable evaluations of individual clinicians?

Eugene C Nelson1, Mary A Gentry, Kathryn H Mook, Karen L Spritzer, John H Higgins, Ron D Hays.   

Abstract

PURPOSE: The purpose of this study was to determine how many patients are needed to provide reliable patient ratings of care at the individual clinician level. SETTING AND SOURCES OF DATA: The study was conducted in an academic medical center and was based on analysis of 34,985 patients who completed a 50-item survey rating the care received during a recent outpatient visit to a physician or midlevel provider. STUDY
DESIGN: Analyses of patient satisfaction surveys was done to: 1) confirm the dimensions of satisfaction with outpatient care in an existing measure, and 2) determine the number of patients required to provide reliable estimates of clinician care for single items and an 11-item composite scale. PRINCIPAL
FINDINGS: Factor analysis showed that the survey measured 2 dimensions of satisfaction: 1) clinician care, and 2) features of visiting the office. The 11-item clinician care scale had high reliability (Cronbach's alpha=0.97). The number of patients needed to achieve reliability of 0.80 at the clinician level was 66 for the 11-item scale and ranged from 52 to 91 for individual items. For primary care physicians only, the comparable number of patients per clinician was 77 for the 11-item scale and ranged from 50 to 147 across items.
CONCLUSIONS: For the survey items that we analyzed, the answer to the question "How many patients are needed to obtain useful and reliable feedback?" is at least 50, but varies by item type (global vs. specific) and by number of items (composite scale or single-item rating) and by the conditions of use (for self-assessment and learning or reward and punishment).

Entities:  

Mesh:

Year:  2004        PMID: 15076825     DOI: 10.1097/01.mlr.0000114914.32196.c7

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  10 in total

1.  Examining the role of patient experience surveys in measuring health care quality.

Authors:  Rebecca Anhang Price; Marc N Elliott; Alan M Zaslavsky; Ron D Hays; William G Lehrman; Lise Rybowski; Susan Edgman-Levitan; Paul D Cleary
Journal:  Med Care Res Rev       Date:  2014-07-15       Impact factor: 3.929

2.  Monoanion inhibition and 35Cl nuclear magnetic resonance studies of renal dipeptidase.

Authors:  L G Ferren; R L Ward; B J Campbell
Journal:  Biochemistry       Date:  1975-12-02       Impact factor: 3.162

3.  Reliability of Physician-Level Measures of Patient Experience in Primary Care.

Authors:  Joshua J Fenton; Anthony Jerant; Richard L Kravitz; Klea D Bertakis; Daniel J Tancredi; Elizabeth M Magnan; Peter Franks
Journal:  J Gen Intern Med       Date:  2017-09-12       Impact factor: 5.128

4.  Psychometric properties of the Consumer Assessment of Healthcare Providers and Systems (CAHPS®) Clinician and Group Adult Visit Survey.

Authors:  Naomi Dyer; Joann S Sorra; Scott Alan Smith; Paul D Cleary; Ron D Hays
Journal:  Med Care       Date:  2012-11       Impact factor: 2.983

5.  Variation among Primary Care Physicians in the Use of Imaging for Older Patients with Acute Low Back Pain.

Authors:  Alai Tan; Jie Zhou; Yong-Fang Kuo; James S Goodwin
Journal:  J Gen Intern Med       Date:  2015-07-28       Impact factor: 5.128

6.  Feasibility and validation of real-time patient evaluations of internal medicine interns' communication and professionalism skills.

Authors:  C Jessica Dine; Stefanie Ruffolo; Jennifer Lapin; Judy A Shea; Jennifer R Kogan
Journal:  J Grad Med Educ       Date:  2014-03

7.  Assessing Interpersonal and Communication Skills.

Authors:  Liana Puscas; Jennifer R Kogan; Eric S Holmboe
Journal:  J Grad Med Educ       Date:  2021-04-23

8.  Development and Validation of a Tool to Measure Patient Assessment of Clinical Compassion.

Authors:  Brian W Roberts; Michael B Roberts; Jady Yao; Joshua Bosire; Anthony Mazzarelli; Stephen Trzeciak
Journal:  JAMA Netw Open       Date:  2019-05-03

9.  Income Disparities and Nonresponse Bias in Surveys of Patient Experience.

Authors:  Brian W Roberts; Jady Yao; Christian J Trzeciak; Louis S Bezich; Anthony Mazzarelli; Stephen Trzeciak
Journal:  J Gen Intern Med       Date:  2020-01-31       Impact factor: 5.128

10.  ASK ME!-Routine measurement of patient experience with patient safety in ambulatory care: A mixed-mode survey.

Authors:  Katja Stahl; Oliver Groene
Journal:  PLoS One       Date:  2021-12-01       Impact factor: 3.240

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.