Demographic Factors Affecting Health Services Utilization
A Causal Model
Bibliographic Data
| ID | 9101173 |
|---|---|
| Authors | James G Anderson (0000-0001-9690-6074) |
| Year | 1973 |
| Volume | 11 |
| Issue | 2 |
| Pages | 104-120 |
| Publication date | 1973-03-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/00005650-197303000-00003 |
| PMID | 4688477 |
| OpenAlex | W2036264442 |
| Language | EN |
| Citations received | 20 |
A causal model has been developed relating patient-days per thousand population and its components, hospital admission rates and average length of stay, to demographic characteristics of New Mexico counties. Data from the U. S. Census I960, the New Mexico State Department of Business Research, and the annual Guide Issue of “Hospitals,” the Journal of the American Hospital Association, have been used to estimate parameters of this model. Analysis of the model suggests that the supply of hospital beds is a major determinant of utilization in an area. In those areas where alternative health services are lacking or inadequate, an increase in the supply of beds significantly alters both the admission rate and the average length of stay. Socioeconomic factors such as income level, educational level, and ethnic composition have surprisingly little effect on the use of hospital facilities in New Mexico, a fact that probably reflects the major changes that have occurred in financing hospitalization during the past several decades. At the same time, hospital utilization rates appear to be highly sensitive to even small changes in the age structure of the population. Urbanization also affects the use of short-term general hospitals primarily due to the increased availability of hospital services to urban populations. The findings suggest that inpatient hospital care is substituted for ambulatory care normally provided by physicians in areas where the physician-to-population ratio is low. In general, the findings of this study clearly demonstrate the value of causal models in ascertaining the effects of demographic factors on the use of health care services and in planning for future demands on the system
Ambulatory care · Census · Economic growth · Economics · Environmental health · Ethnic group · Geography · Health care · Hospital bed · Hospital care · Inpatient care · Population · Socioeconomic status · Urbanization · Demography · Global Maternal and Child Health · Healthcare Policy and Management · Healthcare Systems and Reforms · Medicine · Nursing · Gerontology
The amenability of residential area differences in medical care utilization to amelioration
Methods and effectiveness of health education
Selected Psychosocial Models and Correlates of Individual Health-Related Behaviors
Determinants of Market Share for a Hospital??s Services
Access to Medical Care in the U.S
Choice of Medical Care
An Elaboration of the Relationship Between General Hospital Bed Supply and General Hospital Utilization
Determinants of Physician Utilization
Determinants of attitudes towards professional mental health care, informal help and self-reliance in people with subclinical depression
Involvement in Routine Healthcare Screening Services for Refugees Resettled in the U.S
Social-indicator model building
Variation in Michigan hospital use rates
The prevalence of intestinal parasites in Puerto Rican farm workers in western Massachusetts
The impact of a pediatric practice on hospital admissions in a rural area
Early Trouble, Long‐Term Consequences
Association Between Parenting Stress and Functional Impairment Among Children Diagnosed with Neurodevelopmental Disorders
The utilization of general hospitals by occupational groups in Finland
Factors in the utilization of the small non-metropolitan hospital in Alberta, Canada
Health services accessibility among Spanish elderly
Leveraging the Family Influence of Women in Prostate Cancer Efforts Targeting African American Men
| Unique citing works | 20 |
|---|---|
| Citations per year | 0,38 |
| Citation span | 1973 - 2026 (54) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |