Literature DB >> 14527983

Predictors of variation in office visit interval assignment.

Karen B DeSalvo1, Jason P Block, Paul Muntner, William Merrill.   

Abstract

OBJECTIVE: Despite the important influence of ambulatory appointment revisit intervals (RVI) on access to care, physicians receive no formal training in this area and research indicates that there is significant practice variation. Our objective was to examine whether predictors of RVI assignment that we had assessed using vignettes were also significant in the actual patient care setting. DATA SOURCES AND STUDY
DESIGN: A cross-sectional survey of 59 internal medicine residents collected at the end of office visits for patients with hypertension or diabetes. Two hundred and twenty-eight patients seen in 1997 for continuity care in two academic clinics in New Orleans, Louisiana. DATA COLLECTION: The main outcome was RVI in weeks. We assessed the relationship between physician, visit, and patient-level covariates, and RVI assignment in univariate and multivariate analyses using hierarchical linear models. PRINCIPAL
FINDINGS: The mean RVI was 12.4 weeks (range 1-42 weeks) and was similar for patients with diabetes and hypertension. The final model accounted for 35.7% of the variance in RVI assignment and included: perceptions of the patient's systolic blood pressure, disease stability, and compliance; comorbidity, physician age, sex, and identity; and changing therapy for the primary diagnosis. The identity of the physician was the largest contributor to the variance, accounting for 14.7%.
CONCLUSIONS: Intrinsic characteristics of physicians and their subjective interpretations of their patients' disease stability are the most important determinants of ambulatory RVI assignment. Intervening to reduce this variation in practice is challenging because limited research is currently available on the optimum RVI for patients with chronic illnesses such as diabetes and hypertension.

Entities:  

Mesh:

Year:  2003        PMID: 14527983     DOI: 10.1093/intqhc/mzg067

Source DB:  PubMed          Journal:  Int J Qual Health Care        ISSN: 1353-4505            Impact factor:   2.038


  11 in total

1.  Exploration of an automated approach for receiving patient feedback after outpatient acute care visits.

Authors:  Eta S Berner; Midge N Ray; Anantachai Panjamapirom; Richard S Maisiak; James H Willig; Thomas M English; Marc Krawitz; Christa R Nevin; Shannon Houser; Mark P Cohen; Gordon D Schiff
Journal:  J Gen Intern Med       Date:  2014-03-08       Impact factor: 5.128

2.  Visit Frequency for Patients with Type-2 Diabetes Varies More by Organization than by Glucose Control: a Retrospective Cohort Study.

Authors:  M Brooke Herndon; Barbara Gladders; Gavin Welch; Sanjeev Mehta; Thomas Belnap; Nancy E Morden
Journal:  J Gen Intern Med       Date:  2020-02       Impact factor: 5.128

3.  Revisit frequency and its association with quality of care among diabetic patients: Translating Research Into Action for Diabetes (TRIAD).

Authors:  Keiko Asao; Laura N McEwen; Jesse C Crosson; Beth Waitzfelder; William H Herman
Journal:  J Diabetes Complications       Date:  2014-06-19       Impact factor: 2.852

4.  Factors related to consultation time: experience in Slovenia.

Authors:  Marija Petek Ster; Igor Svab; Gordana Zivcec Kalan
Journal:  Scand J Prim Health Care       Date:  2008       Impact factor: 2.581

5.  Predictors of provider-patient visit frequency during hemodialysis.

Authors:  Yelena Slinin; Haifeng Guo; Suying Li; Jiannong Liu; Benjamin Morgan; Kristine Ensrud; David T Gilbertson; Allan J Collins; Areef Ishani
Journal:  Am J Nephrol       Date:  2013-07-17       Impact factor: 3.754

6.  Rethinking the frequency of between-visit monitoring for patients with diabetes.

Authors:  John D Piette; James E Aikens; Ann M Rosland; Jeremy B Sussman
Journal:  Med Care       Date:  2014-06       Impact factor: 2.983

7.  A general method for identifying excess revisit rates: the case of hypertension.

Authors:  Norman Frohlich; Marilyn Cree; K C Carriere
Journal:  Healthc Policy       Date:  2008-02

8.  Visit frequency and hypertension.

Authors:  Richard Guthmann; Nancy Davis; Matthew Brown; Jose Elizondo
Journal:  J Clin Hypertens (Greenwich)       Date:  2005-06       Impact factor: 3.738

9.  The importance of frequent return visits and hypertension control among US young adults: a multidisciplinary group practice observational study.

Authors:  Cecile C King; Christie M Bartels; Elizabeth M Magnan; Jennifer T Fink; Maureen A Smith; Heather M Johnson
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-09-19       Impact factor: 3.738

10.  Satisfaction of well-controlled type 2 diabetes patients with three-monthly and six-monthly monitoring.

Authors:  Paulien R Wermeling; Jolien Janssen; Kees J Gorter; Joline W J Beulens; Guy E H M Rutten
Journal:  BMC Fam Pract       Date:  2013-07-30       Impact factor: 2.497

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.