Re-revisiting Andersen’s Behavioral Model of Health Services Use: A systematic review of studies from 1998–2011
Open accessAbstract
OBJECTIVE: This systematic review aims to assess the use and implementation of the Behavioral Model of Health Services Use developed by Ronald M. Andersen in recent studies explicity using this model. METHODS: A systematic search was conducted using PubMed in April 2011. The search strategy aimed to identify all articles in which the Andersen model had been applied and which had been published between 1998 and March 2011 in English or German. The search yielded a total of 328 articles. Two researchers independently reviewed the retrieved articles for possible inclusion using a three-step selection process (1. title/author, 2. abstract, 3. full text) with pre-defined inclusion and exclusion criteria for each step. 16 studies met all of the inclusion criteria and were used for analysis. A data extraction form was developed to collect information from articles on 17 categories including author, title, population description, aim of the study, methodological approach, use of the Andersen model, applied model version, and main results. The data collected were collated into six main categories and are presented accordingly. RESULTS: Andersen's Behavioral Model (BM) has been used extensively in studies investigating the use of health services. The studies identified for this review showed that the model has been used in several areas of the health care system and in relation to very different diseases. The 1995 version of the BM was the version most frequently applied in the studies. However, the studies showed substantial differences in the variables used. The majority of the reviewed studies included age (N=15), marital status (N=13), gender/sex (N=12), education (N=11), and ethnicity (N=10) as predisposing factors and income/financial situation (N=10), health insurance (N=9), and having a usual source of care/family doctor (N=9) as enabling factors. As need factors, most of the studies included evaluated health status (N=13) and self-reported/perceived health (N=9) as well as a very wide variety of diseases. Although associations were found between the main factors examined in the studies and the utilization of health care, there was a lack of consistency in these findings. The context of the studies reviewed and the characteristics of the study populations seemed to have a strong impact on the existence, strength and direction of these associations. CONCLUSIONS: Although the frequently used BM was explicitly employed as the theoretical background for the reviewed studies, their operationalizations of the model revealed that only a small common set of variables was used and that there were huge variations in the way these variables were categorized, especially as it concerns predisposing and enabling factors. This may stem from the secondary data sets used in the majority of the studies, which limited the variables available for study. Primary studies are urgently needed to enrich our understanding of health care utilization and the complexity of the processes shown in the BM.
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Need factors tend to be the strongest predictor of physical and behavioral health service use.
“Need factors refer to perceived/evaluated physical and/or behavioral health problem severity and tend to be the strongest predictor of physical [30] and behavioral health service use [31,32].”
From Treatment Use Among U.S. Adults with a Substance Use Disorder: Associations with Symptom Severity, Problem Self-Perception, Comorbid Mental Illness, and Mental Health Treatment (2025) · cites this paper as [30]
The Results (Need factors; page unavailable) report that poorer physical and mental health generally predicted greater service use. But the Discussion (page unavailable) explicitly says it is nearly impossible to identify which factor has the “strongest influence” on utilization. That contradicts the strongest-predictor claim attributed to this source; the citing sentence attaches separate citations to behavioral health service use. (LLM, conf=0.88)
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Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823 · see citing works
Revisiting the Behavioral Model and Access to Medical Care: Does it Matter?
Andersen, R. M. (1995) · Journal of Health and Social Behavior · doi:10.2307/2137284 · Cited by 9,831 · see citing works
National health surveys and the behavioral model of health services use
Andersen, R. M. (2008) · Medical Care · doi:10.1097/mlr.0b013e31817a835d · Cited by 1,100 · see citing works
Dhingra, S. S., Zack, M., Strine, T., Pearson, W. S., & Balluz, L. (2010) · Psychiatric Services · doi:10.1176/ps.2010.61.5.524 · Cited by 144 · see citing works
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Research works printed but not linked: 28
- [1]Ricketts TC Goldsmith LJ Access in health services research: the battle of the frameworks Nurs Outlook Nov-Dec 2005 53 6 274 280 10.1016/j.outlook.2005.06.007 Available from: http://dx.doi.org/10.1016/j.outlook.2005.06.007 16360698 · DOI
- [4]Bradley EH McGraw SA Curry L Buckser A King KL Kasl SV Andersen R Expanding the Andersen model: the role of psychosocial factors in long-term care use Health Serv Res 10 2002 37 5 1221 1242 10.1111/1475-6773.01053 Available from: http://dx.doi.org/10.1111/1475-6773.01053 12479494 PMC1464025 · DOI
- [5]Andersen RM Families' use of health services: a behavioral model of predisposing, enabling and need components [dissertation] 1968 West Lafayette, In Purdue University Available from: http://docs.lib.purdue.edu/dissertations/AAI6902884/
- [6]Andersen R Newman JF Societal and individual determinants of medical care utilization in the United States Milbank Mem Fund Q Health Soc 1973 51 1 95 124 10.2307/3349613 Available from: http://dx.doi.org/10.2307/3349613 4198894 · DOI · Paper page
- [7]Aday LA Andersen R A framework for the study of access to medical care Health Serv Res 1974 9 3 208 220 4436074 PMC1071804
- [10]Davidson PL Andersen RM Wyn R Brown ER A framework for evaluating safety-net and other community-level factors on access for low-income populations Inquiry 2004 41 1 21 38 10.5034/inquiryjrnl_41.1.21 Available from: http://dx.doi.org/10.5034/inquiryjrnl_41.1.21 15224958 · DOI
- [11]Hulka BS Wheat JR Patterns of utilization. The patient perspective Med Care 5 1985 23 5 438 460 10.1097/00005650-198505000-00009 Available from: http://dx.doi.org/10.1097/00005650-198505000-00009 4010347 · DOI
- [12]Padgett DK Brodsky B Psychosocial factors influencing non-urgent use of the emergency room: a review of the literature and recommendations for research and improved service delivery Soc Sci Med 11 1992 35 9 1189 1197 10.1016/0277-9536(92)90231-E Available from: http://dx.doi.org/10.1016/0277-9536(92)90231-E 1439937 · DOI
- [13]de Boer AG Wijker W de Haes HC Predictors of health care utilization in the chronically ill: a review of the literature Health Policy 11 1997 42 2 101 115 10.1016/S0168-8510(97)00062-6 Available from: http://dx.doi.org/10.1016/S0168-8510(97)00062-6 10175619 · DOI
- [14]Phillips KA Morrison KR Andersen R Aday LA Understanding the context of healthcare utilization: assessing environmental and provider-related variables in the behavioral model of utilization Health Serv Res 8 1998 33 3 Pt 1 571 596 9685123 PMC1070277
- [15]McCusker J Karp I Cardin S Durand P Morin J Determinants of emergency department visits by older adults: a systematic review Acad Emerg Med 12 2003 10 12 1362 1370 10.1111/j.1553-2712.2003.tb00011.x Available from: http://dx.doi.org/10.1111/j.1553-2712.2003.tb00011.x 14644789 · DOI
- [16]Kadushin G Home health care utilization: a review of the research for social work Health Soc Work 8 2004 29 3 219 244 10.1093/hsw/29.3.219 Available from: http://dx.doi.org/10.1093/hsw/29.3.219 15453060 · DOI
- [18]Thode N Bergmann E Kamtsiuris P Kurth BM Einflussfaktoren auf die ambulante Inanspruchnahme in Deutschland. Predictors for ambulatory medical care utilization in Germany Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 3 2005 48 3 296 306 10.1007/s00103-004-1004-3 Available from: http://dx.doi.org/10.1007/s00103-004-1004-3 15768302 · DOI
- [20]Afilalo J Marinovich A Afilalo M Colacone A Léger R Unger B Giguère C Nonurgent emergency department patient characteristics and barriers to primary care Acad Emerg Med 12 2004 11 12 1302 1310 10.1197/j.aem.2004.08.032 Available from: http://dx.doi.org/10.1197/j.aem.2004.08.032 15576521 · DOI
- [21]Hochhausen L Le HN Perry DF Community-based mental health service utilization among low-income Latina immigrants Community Ment Health J 2 2011 47 1 14 23 10.1007/s10597-009-9253-0 Available from: http://dx.doi.org/10.1007/s10597-009-9253-0 19821029 · DOI
- [22]Parslow R Jorm A Christensen H Jacomb P Factors associated with young adults' obtaining general practitioner services Aust Health Rev 2002 25 6 109 118 10.1071/AH020109a Available from: http://dx.doi.org/10.1071/AH020109a 12536870 · DOI
- [23]Insaf TZ Jurkowski JM Alomar L Sociocultural factors influencing delay in seeking routine health care among Latinas: a community-based participatory research study Ethn Dis 2010 20 2 148 154 20503895
- [24]Surood S Lai DW Impact of culture on use of Western health services by older South Asian Canadians Can J Public Health Mar-Apr 2010 101 2 176 180 20524386 PMC6973690
- [25]Andersen RM Yu H Wyn R Davidson PL Brown ER Teleki S Access to medical care for low-income persons: how do communities make a difference? Med Care Res Rev 12 2002 59 4 384 411 10.1177/107755802237808 Available from: http://dx.doi.org/10.1177/107755802237808 12508702 · DOI
- [26]Brown ER Davidson PL Yu H Wyn R Andersen RM Becerra L Razack N Effects of community factors on access to ambulatory care for lower-income adults in large urban communities Inquiry 2004 41 1 39 56 10.5034/inquiryjrnl_41.1.39 Available from: http://dx.doi.org/10.5034/inquiryjrnl_41.1.39 15224959 · DOI
- [27]Stockdale SE Tang L Zhang L Belin TR Wells KB The effects of health sector market factors and vulnerable group membership on access to alcohol, drug, and mental health care Health Serv Res 6 2007 42 3 Pt 1 1020 1041 10.1111/j.1475-6773.2006.00636.x Available from: http://dx.doi.org/10.1111/j.1475-6773.2006.00636.x 17489902 PMC1955264 · DOI
- [28]Blackwell DL Martinez ME Gentleman JF Sanmartin C Berthelot JM Socioeconomic status and utilization of health care services in Canada and the United States: findings from a binational health survey Med Care 11 2009 47 11 1136 1146 10.1097/MLR.0b013e3181adcbe9 Available from: http://dx.doi.org/10.1097/MLR.0b013e3181adcbe9 19786920 · DOI
- [29]Chen AW Kazanjian A Wong H Determinants of mental health consultations among recent Chinese immigrants in British Columbia, Canada: implications for mental health risk and access to services J Immigr Minor Health 12 2008 10 6 529 540 10.1007/s10903-008-9143-5 Available from: http://dx.doi.org/10.1007/s10903-008-9143-5 18386178 · DOI
- [31]Hammond WP Matthews D Corbie-Smith G Psychosocial factors associated with routine health examination scheduling and receipt among African American men J Natl Med Assoc 4 2010 102 4 276 289 20437735 PMC2865157
- [32]Ani C Bazargan M Bazargan-Hejazi S Andersen RM Hindman DW Baker RS Correlates of self-diagnosis of chronic medical and mental health conditions in under-served African American and Latino populations Ethn Dis 2008 18 2 Suppl 2 S2 105 18646330
- [33]Nabalamba A Millar WJ Going to the doctor Health Rep 2 2007 18 1 23 35 17441441
- [34]Broyles RW McAuley WJ Baird-Holmes D The medically vulnerable: their health risks, health status, and use of physician care J Health Care Poor Underserved 5 1999 10 2 186 200 10.1353/hpu.2010.0498 Available from: http://dx.doi.org/10.1353/hpu.2010.0498 10224825 · DOI
- [35]Gelberg L Andersen RM Leake BD The Behavioral Model for Vulnerable Populations: application to medical care use and outcomes for homeless people Health Serv Res 2 2000 34 6 1273 1302 10654830 PMC1089079
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- Authors
- Babitsch, B., Gohl, D., & Von Lengerke, T.
- Affiliations
- Osnabrück University (DE)
- ORCID
- Babitsch, Birgit
- Venue
- German Medical Science GMS Publishing House
- Publisher
- German Medical Science GMS Publishing House
- Published
- 2012
- Volume
- 9
- Pages
- Doc11-Doc11
- PMC
- PMC3488807
- OpenAlex
- W1949606258
- Cited by
- 1,011
- References
- 4
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- FWCI
- 5.04
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- cc-by-nc-nd
- Locations
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- German Medical Science (German Research Foundation) (publishedVersion, cc-by-nc-nd)
- German Medical Science (German Research Foundation)
- PubMed
- Funders
- Deutsche Forschungsgemeinschaft
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Health Sciences › Health Professions › General Health Professions › Healthcare Quality and Satisfaction
- Keywords
- Andersen Behavioral Model of Health Services Use, health care utilization, predisposing factors, enabling factors, need factors, health status, health perception, usual source of care, health insurance, socioeconomic factors, health services research, quality of care, health care organization, health care financing
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