PubMed Health⌕ Search

PubMed · 10165087

Tips on developing patient satisfaction survey.

Abstract

The source did not provide an abstract. Follow the original record for more information.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

S Kearney. 1997. Tips on developing patient satisfaction survey.. https://pubmed.ncbi.nlm.nih.gov/10165087/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Are urologists prepared for latex-allergic patients?

OBJECTIVE: To determine how prepared operating departments are to manage latex-allergic patients, and particularly urologists, because the highest incidence of latex allergy occurs in patients with spina bifida who undergo frequent urological procedures. METHODS: A standard questionnaire about the provision of latex-free equipment within operating theatres was completed by the 72 hospitals surveyed (33 district general, 27 teaching, six children's and six private hospitals). RESULTS: Anaesthetic latex-free equipment was available in five of the children's hospitals, 56% of the teaching hospitals, 45% of the district general hospitals and two of the private hospitals. A latex-free catheter only was provided in two of the children's hospitals, 30% of the teaching hospitals and 12% of the district general hospitals. In addition, one of the children's hospitals and one of the private hospitals had a comprehensive range of urological latex-free equipment available. CONCLUSION: This survey shows that many hospitals are inadequately prepared to manage latex-allergic patients, because they lack anaesthetic and urological latex-free equipment.

Health Care Surveys↗

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 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.

Health Care Surveys↗