Predicting patient intent to return from satisfaction scores.
This study describes the development of a patient satisfaction assessment instrument used at the Medical University of South Carolina Outpatient Services clinics. Three years of responses were analyzed and a logistic regression model is presented to identify components of care that predict patient i...
| Publicado en: | Journal of Ambulatory Care Management Vol. 24; no. 1; pp. 44 - 51 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
Jan2001
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=107018934&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 107018934 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01489917 0NV jtl: Journal of Ambulatory Care Management issn: 01489917 maglogo: N pubinfo: dt: Jan2001 vid: 24 iid: 1 pid: 5086 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 107018934 107018934 2001037260 10.1097/00004479-200101000-00006 NLM11189796 107018934 ppf: 44 ppct: 7 formats: fmt: @attributes: type: P tig: atl: Predicting patient intent to return from satisfaction scores. aug: au: Zoller JS Lackland DT Silverstein MD affil: Research Associate, Center for Health Care Research, Medical University of South Carolina, Charleston, South Carolina sug: subj: Patient Satisfaction Patient Attitudes Outpatient Service Utilization Office Visits Ambulatory Care Facilities Utilization Appointments and Schedules Time Factors Physicians South Carolina Questionnaires Summated Rating Scaling Outpatients Instrument Construction Instrument Validation Logistic Regression Odds Ratio Confidence Intervals Construct Validity Content Validity Academic Medical Centers Funding Source Human ab: This study describes the development of a patient satisfaction assessment instrument used at the Medical University of South Carolina Outpatient Services clinics. Three years of responses were analyzed and a logistic regression model is presented to identify components of care that predict patient intent to return for additional care. Waiting time and understanding doctor's explanation were the only items that were significant predictors of intent to return. Additionally, the calculated probability of a return visit was used to calculate the potential impact of changes in mean satisfaction scores on the number of patient visits to the hospital ambulatory clinics. Copyright © 2001 by Aspen Publishers, Inc. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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