Literature DB >> 10175619

Predictors of health care utilization in the chronically ill: a review of the literature.

A G de Boer1, W Wijker, H C de Haes.   

Abstract

The objective of this paper is to identify predictors of health care utilization in the chronically ill. This paper reviews 53 studies on hospitalizations and physician visits, published between 1966 and 1997 and identified by MEDLINE and ClinPSYCH databases. Studies with both univariate and multivariate analyses were included. On the basis of the Andersen-Newman model of health care utilization, the effects of predisposing, enabling and need variables are examined. Most studies reviewed indicate that predisposing factors such as age, sex, and marital status are not predictors of hospital utilization in the chronically ill. The enabling factors income, insurance and social support have not been shown to affect health care utilization, but characteristics of the hospitals could have an effect. Need factors such as disease severity, symptom severity and complications adversely affected health care utilization in the chronically ill, while disease duration and comorbidity do not have such an effect. Quality of life and perceived health might affect hospital utilization and physician use. Finally, depression and psychological distress proved to be among the strongest predictors of hospitalizations and physician visits. In conclusion, both disease severity and psychological well-being are most important in health care utilization. Intervention programs to support depressed or psychologically distressed patients should be considered. These could both help the patient and reduce health care utilization costs.

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Year:  1997        PMID: 10175619     DOI: 10.1016/s0168-8510(97)00062-6

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  55 in total

1.  Quality of life as an instrument for need assessment and outcome assessment of health care in chronic patients.

Authors:  G A van den Bos; A H Triemstra
Journal:  Qual Health Care       Date:  1999-12

2.  Worsening trends and increasing disparities in health-related quality of life: evidence from two French population-based cross-sectional surveys, 1995-2003.

Authors:  Etienne Audureau; Stéphane Rican; Joël Coste
Journal:  Qual Life Res       Date:  2013-02       Impact factor: 4.147

3.  A prospective study of the consulting behaviour of older people with knee pain.

Authors:  Kelvin Jordan; Clare Jinks; Peter Croft
Journal:  Br J Gen Pract       Date:  2006-04       Impact factor: 5.386

Review 4.  Health care utilization and poor reassurance: potential predictors of somatoform disorders.

Authors:  Paul R Puri; Joel E Dimsdale
Journal:  Psychiatr Clin North Am       Date:  2011-09

5.  Characteristics of Newly Enrolled Members of an Integrated Delivery System after the Affordable Care Act.

Authors:  Elizabeth A Bayliss; Jennifer L Ellis; Mary Jo Strobel; Deanna B Mcquillan; Irena B Petsche; Jennifer C Barrow; Arne Beck
Journal:  Perm J       Date:  2015-06-01

6.  Public housing and healthcare use: an investigation using linked administrative data.

Authors:  Aynslie M Hinds; Brian Bechtel; Jino Distasio; Leslie L Roos; Lisa M Lix
Journal:  Can J Public Health       Date:  2018-12-13

7.  Identification of Barriers to Influenza Vaccination in Patients with Chronic Obstructive Pulmonary Disease: Analysis of the 2012 Behavioral Risk Factors Surveillance System.

Authors:  Douglas J Hsu; Crystal M North; Sarah K Brode; Bartolome R Celli
Journal:  Chronic Obstr Pulm Dis       Date:  2016

8.  Social environment and frequent attendance in Danish general practice.

Authors:  Peter Vedsted; Frede Olesen
Journal:  Br J Gen Pract       Date:  2005-07       Impact factor: 5.386

9.  Real-time prediction of inpatient length of stay for discharge prioritization.

Authors:  Sean Barnes; Eric Hamrock; Matthew Toerper; Sauleh Siddiqui; Scott Levin
Journal:  J Am Med Inform Assoc       Date:  2015-08-07       Impact factor: 4.497

10.  Who Uses CAM? A Narrative Review of Demographic Characteristics and Health Factors Associated with CAM Use.

Authors:  Felicity L Bishop; G T Lewith
Journal:  Evid Based Complement Alternat Med       Date:  2008-03-13       Impact factor: 2.629

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