Self-reported utilization of health care services: improving measurement and accuracy.

University of California, Berkeley, CA, USA.
Medical Care Research and Review (Impact Factor: 2.57). 05/2006; 63(2):217-35. DOI: 10.1177/1077558705285298
Source: PubMed

ABSTRACT Self-report is often used to estimate health care utilization. However, the accuracy of such data is of paramount concern. The authors conducted a systematic review of 42 studies that evaluated the accuracy of self-report utilization data, where utilization was defined as a visit to a clinical provider or entity. They also present a broad conceptual model that identifies major issues to consider when collecting, analyzing, and reporting such data. The results show that self-report data are of variable accuracy. Factors that affect accuracy include (1) sample population and cognitive abilities, (2) recall time frame, (3) type of utilization, (4) utilization frequency, (5) questionnaire design, (6) mode of data collection, and (7) memory aids and probes.

1 Follower
  • [Show abstract] [Hide abstract]
    ABSTRACT: To examine gender, ethnic, and socioeconomic differences in access to eye care services in marine fishing communities in Karachi, Pakistan. The Karachi Marine Fishing Communities Eye and General Health Survey was a door-to-door, cross-sectional survey conducted between March 2009 and April 2010 in fishing communities in Keamari, Karachi, located on the coast of the Arabian Sea. Adults aged ≥50 years living on three islands and in four coastal areas were enrolled. Participants underwent a detailed interview regarding sociodemographics, eye problems and eye care service use, testing of presenting and best-corrected visual acuity with a reduced logMAR chart, and detailed eye examination. A total of 700 people were planned to be included in the study; 638 (91.1%) were interviewed and examined. Most participants were extremely poor and had no formal education. Only 45.3% (95% confidence interval, CI, 41.4-49.2%) of participants reported having had an eye examination in the past; 12.1% (95% CI 9.5-14.6%) and 30.9% (95% CI 27.3-34.5%) had seen an eye doctor within the last year or prior 5 years, respectively. In the multivariable analysis, ethnicity was the strongest independent predictor of eye care service use, followed by self-reported eye problems and diabetes. Ethnic Bengalis were 4.2 times less likely (adjusted odds ratio 0.24, 95% CI 0.15-0.38; p < 0.001) to have had an eye examination in the past than Kutchis. Despite a high prevalence of visual impairment and blindness, levels of eye care examinations in fishing communities, especially among ethnic Bengalis, are disappointingly low. Such communities deserve particular attention in Vision 2020 and other national and international strategies and plans.
    Ophthalmic epidemiology 04/2015; DOI:10.3109/09286586.2015.1012592 · 1.27 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: Background This protocol describes a study evaluating two ‘Housing First’ programs, Platform 70 and Common Ground, presently being implemented in the inner-city region of Sydney, Australia. The Housing First approach prioritises housing individuals who are homeless in standard lease agreement tenancies as rapidly as possible to lock in the benefits from long-term accommodation, even where the person may not be seen as ‘housing ready’. Methods/Design The longitudinal, mixed methods evaluation utilises both quantitative and qualitative data collected at baseline and 12-month follow-up time points. For the quantitative component, clients of each program were invited to complete client surveys that reported on several factors associated with chronic homelessness and were hypothesised to improve under stable housing, including physical and mental health status and treatment rates, quality of life, substance use patterns, and contact with the health and criminal justice systems. Semi-structured interviews with clients and stakeholders comprised the qualitative component and focused on individual experiences with, and perceptions of, the two programs. In addition, program data on housing stability, rental subsidies and support levels provided to clients by agencies was collected and will be used in conjunction with the client survey data to undertake an economic evaluation of the two programs. Discussion This study will systematically evaluate the efficacy of a scatter site model (Platform 70) and a congregated model (Common Ground) of the Housing First approach; an examination that has not yet been made either in Australia or internationally. A clear strength of the study is its timing. It was designed and implemented as the programs in question themselves were introduced. Moreover, the programs were introduced when the Australian Government, with State and Territory support, began a more focused, coordinated response to homelessness and funded rapid expansion of innovative homelessness programs across the country, including Common Ground supportive housing developments. Electronic supplementary material The online version of this article (doi:10.1186/s12889-015-1700-y) contains supplementary material, which is available to authorized users.
    BMC Public Health 04/2015; 15(1). DOI:10.1186/s12889-015-1700-y · 2.32 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The delivery of primary care to homeless individuals with mental health conditions presents unique challenges. To inform healthcare improvement, we studied predictors of favorable primary care experience among homeless persons with mental health conditions treated at sites that varied in degree of homeless-specific service tailoring. This was a multi-site, survey-based comparison of primary care experiences at three mainstream primary care clinics of the Veterans Administration (VA), one homeless-tailored VA clinic, and one tailored non-VA healthcare program. Persons who accessed primary care service two or more times from July 2008 through June 2010 (N = 366) were randomly sampled. Predictor variables included patient and organization characteristics suggested by the patient perception model developed by Sofaer and Firminger (2005), with an emphasis on mental health. The primary care experience was assessed with the Primary Care Quality-Homeless (PCQ-H) questionnaire, a validated survey instrument. Multiple regression identified predictors of positive experiences (i.e. higher PCQ-H total score). Significant predictors of a positive experience included a site offering tailored service design, perceived choice among providers, and currently domiciled status. There was an interaction effect between site and severe psychiatric symptoms. For persons with severe psychiatric symptoms, a homeless-tailored service design was significantly associated with a more favorable primary care experience. For persons without severe psychiatric symptoms, this difference was not significant. This study supports the importance of tailored healthcare delivery designed for homeless persons’ needs, with such services potentially holding special relevance for persons with mental health conditions. To improve patient experience among the homeless, organizations may want to deliver services that are tailored to homelessness and offer a choice of providers.
    PLoS ONE 02/2015; 10(2). DOI:10.1371/journal.pone.0117395 · 3.53 Impact Factor