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

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

INTRODUCTION

Patients with chronic obstructive pulmonary disease (COPD) are at increased risk for influenza-related morbidity and mortality. Influenza vaccination is known to decrease influenza incidence, severity, hospitalizations, and mortality. Identification of barriers to influenza vaccination among patients with COPD may aid in efforts to increase vaccination rates. This study aims to identify predictors of influenza vaccination in COPD patients.

METHODS

This study used data from the 2012 Behavioral Risk Factor Surveillance System (BRFSS). Participants with self-reported COPD and receiving an influenza vaccination in the prior 12 months were identified. Independent predictors of the exposure were identified by estimating a parsimonious logistic regression model of influenza vaccination. All analyses were performed using weighted data.

RESULTS

The final study sample consisted of 36,811 COPD participants, with 48.5% of COPD patients reporting having been vaccinated and 51.5% reporting being unvaccinated. A total of 15 independent predictors of influenza vaccination in COPD patients were identified. Negative predictors included predisposing factors (younger age, male gender, household children, black or non-white/non-Hispanic/non-black race/ethnicity, lower education level, heavy alcohol use, current tobacco use) and enabling factors that reflect access to medical care (insurance status, ability to afford care, having a recent check-up). Positive predictors of influenza vaccination included need factors (chronic comorbidities), being a military veteran, or being a former smoker.

CONCLUSIONS

This analysis identifies multiple predictors of influenza vaccination in persons with COPD. Identification of at risk-groups provides the foundation for development of focused efforts to improve influenza vaccination rates in patients with COPD.

The impact of self-monitoring in chronic illness on healthcare utilisation: a systematic review of reviews

Background

Self-management interventions have been found to reduce healthcare utilisation in people with long-term conditions, but further work is needed to identify which components of these interventions are most effective. Self-monitoring is one such component and is associated with significant clinical benefits. The aim of this systematic review of reviews is to assess the impact of self-monitoring interventions on healthcare utilisation across a range of chronic illnesses.

Methods

An overview of published systematic reviews and meta-analyses. Multiple databases were searched (MEDLINE, CINAHL, PsycINFO, EMBASE, AMED, EBM and HMIC) along with the reference lists of included reviews. A narrative synthesis was performed, accompanied by calculation of the Corrected Cover Area to understand the impact of overlapping primary research papers.

Results

A total of 17 systematic reviews and meta-analyses across three chronic conditions, heart failure, hypertension and chronic obstructive pulmonary disease, were included. Self-monitoring was associated with significant reductions in hospitalisation and re-admissions to hospital.

Conclusions

Self-monitoring has the potential to reduce the pressure placed on secondary care services, but this may lead to increase in services elsewhere in the system. Further work is needed to determine how these findings affect healthcare costs.

Electronic supplementary material

The online version of this article (doi:10.1186/s12913-015-1221-5) contains supplementary material, which is available to authorized users.

Modeling the predictive value of pain intensity on costs and resources utilization in patients with peripheral neuropathic pain

OBJECTIVE

The aim of the present analysis was to model the association and predictive value of pain intensity on cost and resource utilization in patients with chronic peripheral neuropathic pain (PNP) treated in routine clinical practice settings in Spain.

METHODS

We performed a secondary economic analysis based on data from a multicenter, observational, and prospective cost-of-illness study in patients with chronic PNP that is refractory to prior treatment. Pain intensity was measured using the Short-Form McGill Pain Questionnaire. Univariate and multivariate linear regression models were fitted to identify independent predictors of cost and health care/non-health care resource utilization.

RESULTS

A total of 1703 patients were included in the current analysis. Pain intensity was an independent predictor of total costs ([total costs]=35.6 [pain intensity]+214.5; coefficient of determination [R(2)]=0.19, P<0.001), direct costs ([direct costs]=10.8 [pain intensity]+257.7; R=0.06, P<0.001), and indirect costs ([indirect costs]=24.8 [pain intensity]-43.4; R(2)=0.20, P<0.001) related to chronic PNP in the univariate analysis. Pain intensity remains significantly associated with total costs, direct costs, and indirect costs after adjustment by other covariates in the multivariate analysis (P<0.001). None of the other variables considered in the multivariate analysis were predictors of resource utilization.

DISCUSSION

Pain intensity predicts the health care and non-health care resource utilization, and costs related to chronic PNP. Management of patients with drugs associated with a higher reduction of pain intensity may have a greater impact on the economic burden of that condition.

Self-rated health and hospital services use in the Spanish National Health System: a longitudinal study

Background

Self-rated health is a subjective measure that has been related to indicators such as mortality, morbidity, functional capacity, and the use of health services. In Spain, there are few longitudinal studies associating self-rated health with hospital services use. The purpose of this study is to analyze the association between self-rated health and socioeconomic, demographic, and health variables, and the use of hospital services among the general population in the Region of Valencia, Spain.

Methods

Longitudinal study of 5,275 adults who were included in the 2005 Region of Valencia Health Survey and linked to the Minimum Hospital Data Set between 2006 and 2009. Logistic regression models were used to calculate the odds ratios between use of hospital services and self-rated health, sex, age, educational level, employment status, income, country of birth, chronic conditions, disability and previous use of hospital services.

Results

By the end of a 4-year follow-up period, 1,184 participants (22.4 %) had used hospital services. Use of hospital services was associated with poor self-rated health among both men and women. In men, it was also associated with unemployment, low income, and the presence of a chronic disease. In women, it was associated with low educational level, the presence of a disability, previous hospital services use, and the presence of chronic disease. Interactions were detected between self-rated health and chronic disease in men and between self-rated health and educational level in women.

Conclusions

Self-rated health acts as a predictor of hospital services use. Various health and socioeconomic variables provide additional predictive capacity. Interactions were detected between self-rated health and other variables that may reflect different complex predictive models, by gender.

The relative importance of perceived doctor's attitude on the decision to consult for symptomatic osteoarthritis: a choice-based conjoint analysis study

OBJECTIVES

Some patients spend years with painful osteoarthritis without consulting for it, including times when they are experiencing persistent severe pain and disability. Beliefs about osteoarthritis and what primary care has to offer may influence the decision to consult but their relative importance has seldom been quantified. We sought to investigate the relative importance of perceived service-related and clinical need attributes in the decision to consult a primary care physician for painful osteoarthritis.

DESIGN

Partial-profile choice-based conjoint analysis study, using a self-complete questionnaire containing 10 choice tasks, each presenting two scenarios based on a combination of three out of six selected attributes.

SETTING

General population.

PARTICIPANTS

Adults aged 50 years and over with hip, knee or hand pain registered with four UK general practices.

OUTCOME MEASURES

Relative importance of pain characteristics, level of disruption to everyday life, extent of comorbidity, assessment, management, perceived general practitioner (GP) attitude.

RESULTS

863 (74%) people responded (55% female; mean age 70 years, range: 58-93). The most important determinants of the patient's decision to consult the GP for joint pain were the extent to which pain disrupted everyday life ('most' vs 'none': relative importance 31%) and perceived GP attitude ('legitimate problem, requires treatment' vs 'part of the normal ageing process that one just has to accept': 24%). Thoroughness of assessment (14%), management options offered (13%), comorbidity (13%) and pain characteristics (5%) were less strongly associated with the decision to consult.

CONCLUSIONS

Anticipating that the GP will regard joint pain as 'part of the normal ageing process that one just has to accept' is a strong disincentive to seeking help, potentially outweighing other aspects of quality of care. Alongside the recognition and management of disrupted function, an important goal of each primary care consultation for osteoarthritis should be to avoid imparting or reinforcing this perception.

Case vignettes based on EQ-5D to elicit stated preferences for health services utilization from the insurees' perspective

Background

There is little evidence as to why or why not insurees decide to seek medical services. Steps prior to the entry of the insuree into the professional health care system have not been sufficiently examined and can only be partially described by secondary data of the statutory health insurance (SHI). We report the first investigation using case vignettes based on the generic health-related quality of life questionnaire EQ-5D as part of a choice study to assess insurees' stated preferences in health services utilization.

Methods

We invited 1500 randomly selected citizens (age 30 to 70 years) from the East German state of Saxony-Anhalt by postal mail to participate in the choice study. Attributes of the case vignettes involved in choice tasks were the five dimensions of the EQ-5D. We used multilevel mixed effects logit regression analysis with the dependent variables: preference to seek medical services (model 1) and preferred time until consultation (model 2) for the assessed case vignette. The EQ-5D attributes of the case vignettes and participant characteristics served as the independent variables. We also included the respondent's certainty of choosing from the choice set, and the order of questions of the questionnaire as control variables.

Results

Of the 1500 questionnaires 683 were evaluable (net response rate 48.0 %). On the level of the case vignettes, problems in all five dimensions of the EQ-5D were statistically significant factors of the estimated likelihood to seek medical services (model 1). On the respondent level, there was a significant relationship between the preference for medical consultation for the assessed case vignette and the respondent's gender, age, educational level, the existence of a regular doctor, and the certainty of choosing from the choice set.

Problems in four of the five dimensions of the EQ-5D (except anxiety/depression) of the case vignettes were significantly associated with the preferred time until consultation (model 2). On the respondent level, gender, educational level, the certainty of choosing from the choice set, and the order of questions of the questionnaire were significant determinants of the time until consultation.

Conclusions

Our study offers a promising new approach for the national and cross-national study of preferences in health services utilization from the insurees' perspective.

Electronic supplementary material

The online version of this article (doi:10.1186/s12913-015-1143-2) contains supplementary material, which is available to authorized users.

Health-care utilisation amongst pregnant women who experience sleeping problems and/or tiredness or fatigue: secondary analysis of a cross-sectional survey of 1835 pregnant women

INTRODUCTION

Sleeping problems and fatigue in pregnancy are often accepted as a normal part of pregnancy; however, these conditions can be linked to serious consequences for both the mother and child. Despite established links between sleeping disturbance and a wide range of pregnancy complications, little is known about the health-care utilisation of women experiencing sleeping problems and fatigue. This study addresses the existing gap in the literature by examining cross-sectional data to identify health service utilisation patterns of pregnant women experiencing sleeping problems and/or tiredness or fatigue.

METHODS

In 2010, a sub-study of the Australian Longitudinal Study on Women's Health was conducted as a cross-sectional survey of 2445 women who had recently given birth. Associations between reported symptoms of sleeplessness and/or tiredness or fatigue and health service utilisation were determined using logistic regression analysis.

RESULTS

During their pregnancy, 15.2 % of women experienced sleeping problems while 35.4 % experienced tiredness or fatigue. Women most commonly consulted with an obstetrician (n = 96) or a general practitioner (GP) (n = 74) for their tiredness or fatigue rather than a midwife (n = 56). A substantial number of women sought help from a complementary and alternative medicine (CAM) practitioner for sleeping problems (33 %) or tiredness/fatigue (28 %).

DISCUSSION

Sleeping problems and/or tiredness or fatigue is reported by a reasonable percentage of pregnant women, and women obtain assistance from conventional and CAM practitioners for their symptoms, but not all seek help. Given the serious implications of untreated sleep- and fatigue-related symptoms for mother and baby, this area of research deserves and requires more attention.

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

Of 89,289 newly enrolled non-Medicare members, 25.3% completed the Brief Health Questionnaire between 1/1/2014, and 8/31/2014. Of these, 3593 respondents were insured through Medicaid, 9434 through the individual health exchange, and 9521 through primarily commercial plans. Of Medicaid, exchange, and commercial members, 19.5%, 7.1%, and 5.3%, respectively, self-reported fair or poor health; 12.9%, 2.0%, and 3.3% of each group self-reported 2 or more Emergency Department visits during the previous year; and 8.1%, 4.3%, and 4.4% self-reported an inpatient admission during the previous year.

Demographic and clinical predictors of unplanned hospital utilisation among chronically ill patients: a prospective cohort study

BACKGROUND

In urban Australia, patients with serious and continuing illnesses make frequent use of hospital emergency department (ED) services. However, the risk factors for hospital utilisation among the broad population of people with chronic illness are not well known. The aim of this study was to assess the predictors of hospital utilisation (either inpatient admissions or ED visits) in a cohort of 308 patients with chronic illness.

METHODS

We studied patients with serious and continuing chronic illnesses presenting to an ED in a large periurban hospital in western Sydney, Australia, between 2010 and 2013. ED presentations and hospital admissions were observed over two years. Multivariate negative-binomial regression analyses were used to identify risk factors for the number of presentations to hospital.

RESULTS

The main risk factors for hospital utilisation were having a live-in carer, and a history of hospital utilisation. Having a live-in carer was associated with an increase in number of ED presentations by 88% (RR 1.88; 95% CI 1.41-2.51), and of admissions by 116% (RR 2.16; 95% CI 1.61-2.92). Seventy-seven percent of hospital utilisation in the cohort was attributable to carer status. Each additional ED presentation that a person had in the 12 months prior to the study led to an increased risk of an ED presentation in the follow-up period by 6% (RR = 1.06, 95% CI = 1.03-1.08). Between 20% and 25% of variability in hospital utilisation in the cohort was attributable to the number of hospital admissions or ED presentations in the previous 12 months.

CONCLUSIONS

Patients with a live-in carer and with a history of hospital utilisation are at high risk for future hospital use.

Determinants of HIV outpatient service utilization: a systematic review

Demands on HIV services are increasing as a consequence of the increased life-expectancy of HIV patients in the highly active antiretroviral therapy era. Understanding the factors that influence utilization of ambulatory HIV services is useful for planning service provision. This study reviewed factors associated with utilization of hospital based HIV out-patient services. Studies reporting person-based utilization rates of HIV-specific outpatient services broken down by patient or healthcare characteristics were eligible for inclusion. The Andersen Behavioral Model was used to organize the information extracted into pre-disposing, enabling and need components. Ten studies were included in the final review. Older age, private insurance, urban residence, lower CD4 counts, a diagnosis of AIDS, or anti-retroviral treatment were associated with higher utilization rates. The results of this review are consistent with existing knowledge regarding HIV patients' use of health services. Little information was identified on the influence of health service characteristics on utilization of out-patient services.

The ecological fallacy of the role of age in chronic disease and hospital demand

OBJECTIVE

To examine the relationship between age and all-cause hospital utilization in the years preceding and following a diagnosis in hospital of heart failure, type 2 diabetes, or chronic obstructive pulmonary disease (COPD).

RESEARCH DESIGN

A cohort study of all patients in Western Australia who have had a principal diagnosis of heart failure, type 2 diabetes, or COPD, upon admission to hospital. All-cause hospital utilization 6 years preceding and 4 years following cardinal events, that is, a disease-specific diagnosis upon hospital admission, where such an event has not occurred in the previous 2 years, are examined in specific age groups.

RESULTS

Six years preceding a cardinal event, all-cause emergency department (ED) presentations are similar in all age groups, from under 55 to over 85 years of age, except in COPD where ED presentation rates are higher in younger groups. All-cause hospital inpatient days are transiently higher in the years preceding and following a cardinal event in older age groups, yet return to similar levels across all age cohorts after 4 years. ED presentations are significantly higher in the 4 years following cardinal events in younger compared with older groups.

CONCLUSIONS

Longitudinal analysis of utilization around cardinal events overcomes the confounding effect of differences in chronic disease rates between age groups, avoiding a source of ecologic bias that erroneously attributes increasing utilization in individuals with chronic disease to age. Programs designed to reduce hospital demand in patients with chronic disease should possibly focus on younger, rather than older, individuals.

Existential behavioral therapy for informal caregivers of palliative patients: Barriers and promoters of support utilization

Objective:

Several interventions have been developed during recent years to support informal caregivers of palliative patients. However, these trials reported low enrollment rates. Employing a newly developed group intervention, existential behavioral therapy (EBT), one study reported that only 13.6% of approached informal caregivers participated. The purpose of our present study was to identify the reasons for this low enrollment rate in order to improve future support designs.

Method:

All participants in the EBT trial (intervention vs. standard-care control group) as well as those who declined participation during a 4-month recruitment period were studied prospectively over 12 months. Andersen's behavioral model of healthcare service use was employed to identify group differences between acceptors and decliners: predisposing (age, gender, education, family status, relationship), enabling (social support, distance to hospital, caring vs. bereaved), and need factors (psychological distress, quality of life) were evaluated in a binary-logistic model.

Results:

Some 94 decliners were compared to 160 EBT participants (n = 81 intervention, n = 79 control). Caregivers who took part were significantly more distressed and suffered from a lower quality of life compared to decliners. Not only these need factors but also predisposing (age <55 years) and enabling (use of social/professional support, familiarity with caregiving institution) factors were associated with EBT utilization. At the 12-month follow-up, EBT intervention participants reported greater quality of life improvements than decliners or controls (p = 0.05). While all groups had mean anxiety scores below the cutoff at 12-month follow-up, decliners showed better improvement in anxiety compared to EBT participants (intervention p = 0.04, controls p = 0.03).

Significance of results:

On average, decliners are less burdened: they may be more resilient, may have better coping strategies, or already have a sufficient support network in place. Screening caregivers with regard to their experienced quality of life and targeting those in need, especially younger caregivers with low levels of quality of life, may help to allocate resources more appropriately.

A systematic review of diagnostic imaging use for low back pain in the United States

BACKGROUND CONTEXT

Various studies have reported on the increasing use and costs of diagnostic imaging for low back pain (LBP) in the United States. However, it is unclear whether the methods used in these studies allowed for meaningful comparisons or whether the reported use data can be used to develop evidence-based use benchmarks.

PURPOSE

The primary purpose of this study was to review previous estimates of the use of diagnostic imaging for LBP in the United States.

STUDY DESIGN/SETTING

The study design is a systematic review of published literature.

METHODS

A search through May 2012 was conducted using keywords and free text terms related to health services and LBP in Medline and Health Policy Reference; results were screened for relevance independently, and full-text studies were assessed for eligibility. Only studies published in English since the year 2000 reporting on use of diagnostic imaging for LBP using claims data from the United States were included. Reporting quality was assessed using a modified Downs and Black tool for observational studies.

RESULTS

The search strategy yielded 1,102 citations, seven of which met the criteria for eligibility. Studies reported use from commercial health plans (N=4) and Medicare (N=3), with sample sizes ranging from 13,760 to 740,467 members with LBP from specific states or across the United States. The number of diagnostic codes used to identify nonspecific LBP ranged from 2 to 66; other heterogeneity was noted in the methods used across these studies. In commercial health plans, use of radiography occurred in 12.0% to 32.2% of patients with LBP, magnetic resonance imaging (MRI) was used in 16.0% to 21.0%, computed tomography (CT) was used in 1.4% to 3.0%, and MRI and/or CT was used in 10.9% to 16.1%. Findings in Medicare populations were 22.9% to 48.2% for radiography, 11.6% for MRI, and 10.4% to 16.3% for MRI and/or CT.

CONCLUSIONS

The reported use of diagnostic imaging for LBP varied across the studies reviewed; differences in methodology made meaningful comparisons difficult. Standardizing methods for performing and reporting analyses of claims data related to use could facilitate efforts by third-party payers, health care providers, and researchers to identify and address the perceived overuse of diagnostic imaging for LBP.

Healthcare use and voluntary health insurance after retirement in Thailand

BACKGROUND

The dramatic changes occurring in the age structure of the Thai population make providing healthcare services for the elderly a major challenge for decision makers. Because the number of the elderly will be increasing, together with the number of retired workers, under the Social Health Insurance (SHI) scheme, there will be the unmet needs for healthcare use after retirement. The SHI scheme does not cover workers after retirement unless they could use free healthcare for the elderly. In addition, the government budget is tight regarding the support of universal healthcare and long-term care services for all of the elderly. Therefore, the government could support retired workers who have the ability to pay by facilitating voluntary health insurance.

OBJECTIVE

The main objectives of the present study are to analyze the characteristics of workers that need health insurance after retirement and to identify the factors explaining healthcare use to offer healthcare services to meet the workers' needs and expectations.

METHODS

Four hundred insured workers under the Social Health Insurance (SHI) Scheme in Thailand were interviewed using a structured questionnaire. The Anderson-Newman model of healthcare use is the conceptual framework used in this study to understand the factors that explain healthcare use patterns of workers. Multiple regressions are employed extensively to evaluate the variables that predict healthcare use.

RESULTS

According to the survey, a person that purchases voluntary health insurance is likely to be female, have a higher personal income, and healthy. The characteristics related to healthcare use were poor health status, a high personal income, and peeople afflicted by chronic illness.

CONCLUSIONS

There is a gap between healthcare service use and the demand for voluntary health insurance. People that have a high income are more likely to purchase voluntary health insurance, while people in worse health and afflicted by chronic illness may have greater difficulty purchasing voluntary health insurance because they face higher premiums or are denied coverage by insurers.

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

PURPOSE

To investigate time trends in health-related quality of life (HRQoL) in France and to report existing and changing demographic, socioeconomic, and geographic disparities.

METHODS

Data were drawn from two independent national cross-sectional surveys conducted in 1995 and 2003, including 3,243 individuals aged 18–84 in 1995 and 22,743 in 2003. HRQoL was measured with the 8 subscales of the French version of the SF-36.

RESULTS

After multiple linear regression, a significant decrease was observed between 1995 and 2003 in all scales scores, from −0.11 adjusted standard deviations for Social Functioning (95% CI: −0.15 to −0.08) to −0.23 for Vitality (−0.26 to −0.19). Increasing age, female gender, divorce/widowhood, lowest educational levels, chronic conditions, and living in the Northern region were identified as independent predictors of lower HRQoL scores. Testing interactions showed significantly greater differences between 1995 and 2003 for subjects aged 75–84 and for least educated subjects (Physical Functioning, General Health). The Gini index increased for all scales.

CONCLUSIONS

We report evidence of worsening trends and possibly increasing demographic, socioeconomic, and regional disparities in HRQoL between 1995 and 2003 in France. Monitoring HRQoL in populations can provide unique and sensitive data, complementary to classical indicators based on mortality and morbidity.

Health care costs in the elderly in Germany: an analysis applying Andersen's behavioral model of health care utilization

Background

To analyze the association of health care costs with predisposing, enabling, and need factors, as defined by Andersen’s behavioral model of health care utilization, in the German elderly population.

Methods

Using a cross-sectional design, cost data of 3,124 participants aged 57–84 years in the 8-year-follow-up of the ESTHER cohort study were analyzed. Health care utilization in a 3-month period was assessed retrospectively through an interview conducted by trained study physicians at respondents’ homes. Unit costs were applied to calculate health care costs from the societal perspective. Socio-demographic and health-related variables were categorized as predisposing, enabling, or need factors as defined by the Andersen model. Multimorbidity was measured by the Cumulative Illness Rating Scale for Geriatrics (CIRS-G). Mental health status was measured by the SF-12 mental component summary (MCS) score. Sector-specific costs were analyzed by means of multiple Tobit regression models.

Results

Mean total costs per respondent were 889 € for the 3-month period. The CIRS-G score and the SF-12 MCS score representing the need factor in the Andersen model were consistently associated with total, inpatient, outpatient and nursing costs. Among the predisposing factors, age was positively associated with outpatient costs, nursing costs, and total costs, and the BMI was associated with outpatient costs.

Conclusions

Multimorbidity and mental health status, both reflecting the need factor in the Andersen model, were the dominant predictors of health care costs. Predisposing and enabling factors had comparatively little impact on health care costs, possibly due to the characteristics of the German social health insurance system. Overall, the variables used in the Andersen model explained only little of the total variance in health care costs.

Cost-utility analysis of individual psychosocial support interventions for breast cancer patients in a randomized controlled study

OBJECTIVES

The aim was to explore the cost-utility in providing complementary individual psychosocial support to breast cancer patients compared with standard care (SC).

METHODS

Patients just starting adjuvant therapy (n = 168) at Uppsala University Hospital, Sweden, were consecutively included and randomized into three groups: psychosocial support from a specially trained nurse (INS), from a psychologist (IPS), or SC. Psychological effects and healthcare utilization were monitored during a 2-year period. The hospital billing system provided cost estimates. Quality-adjusted life years (QALYs) were calculated using health-related quality of life data from the European Organization for Research and Treatment of Cancer Quality of Life Core Questionnaire (EORTC QLQ C-30) translated into the Euro Quality of Life- 5-Dimensional classification. On the basis of the medical cost offset, a cost-utility analysis was performed.

RESULTS

Health care utilization was mainly related to the breast cancer diagnosis and treatment. The intervention costs amounted to about €500 or 3% of the total costs. Total health care costs, including interventions cost, were lower in the INS (€18,670) and IPS (€20,419) groups than in the SC group (€25,800). The number of QALYs were also higher in the INS (1.52 QALY) and IPS (1.59 QALY) groups, compared with the SC group (1.43 QALY).

CONCLUSIONS

The cost-utility analysis revealed that, during adjuvant treatment for breast cancer, the individual psychosocial support interventions provided here was cost effective because the health care costs were lower and QALYs were higher compared to SC alone.

Seeking, delaying, and avoiding routine health care services: patient perspectives

PURPOSE

To explore/identify patient perspectives regarding seeking, delaying, and avoiding health care services, particularly barriers and facilitators.

DESIGN

Face-to-face interviews with health plan survey respondents.

SETTING

An integrated health plan providing comprehensive care to 480,000 people in Oregon and Washington.

PARTICIPANTS

Willing respondents randomly selected to maximize heterogeneity within the following strata: gender, health care utilization, and self-reported alcohol consumption (indicator of health practices). Participants were 75 men and 75 women (150 total), 21 to 64 years old, with ≥12 months of health plan membership.

METHOD

Participants were recruited by letter (52.5% agreed). Data collection stopped when planned interviews were completed; saturation (the point at which additional interviews were not producing novel information) was achieved for key study questions. Semi-structured interviews were recorded, transcribed, and coded. Reviews of codes related to care seeking and feelings/attitudes about providers produced common themes.

RESULTS

Facilitators of care seeking included welcoming staff, collaborative relationships with providers, and education about the value of preventive care. Barriers included costs, time needed for appointments, and cumbersome processes. Some participants delayed procedures, some avoided care until absolutely necessary, others framed care as routinely necessary.

CONCLUSION

Increasing comfort, improving appointment and visit-related processes, having positive patient-physician relationships, and enhancing communication and clinician-provided education may facilitate appropriate use of preventive services. Further research is needed with larger, representative samples to evaluate findings.

Age and gender differences in medical care utilization prior to suicide

BACKGROUND

Analysis of temporal patterns of medical care utilization prior to suicide may aid in developing suicide prevention programs. The aim of this study was to investigate age and gender differences in temporal patterns of medical care utilization during 1 year prior to suicide.

METHODS

Medical care utilization data of all suicide completers in the Republic of Korea whose death occurred in 2004 (7903 men and 3620 women) was used. Differences among the quarters in medical expenditures and number of medical care visits were analyzed using a repeated measures analysis. Total medical expenditures were compared to those of age- and gender-matched controls by multiple logistic regression analysis.

RESULTS

Among suicides, 84% (81% in men, 91% in women) contacted medical care in the year prior to suicide. In 10-39 year-old women, the number of medical care visits for gastrointestinal disease increased significantly during the final 3 months prior to suicide. All suicide completers showed that the number of medical care visits for psychiatric disorders increased significantly during the final 3 months with the exception of 10-19 year age group. Total medical expenditures during the year prior to suicide were elevated significantly and associated significantly with suicide risk (OR, 1.20; 95% CI, 1.19-1.21).

LIMITATIONS

Inaccuracies in the underlying disease and death statistics data may have led to misclassification bias.

CONCLUSIONS

Medical care utilization increased as the date of suicide approached. There are age and gender differences in medical care utilization in the year prior to suicide.

Validation of the Scale for the Assessment of Illness Behavior (SAIB) in a community sample of elderly people

The aim of this study was to evaluate the construct validity of the SAIB in a community sample of elderly people. The SAIB was administered to a large community sample representative of the German population aged 60-85 years (n=1593). The original model was assessed and then refined through confirmatory and exploratory factor analyses. Criterion validity was evaluated by comparing SAIB scores with external criteria in 3 categories: subjective health, chronic illness and health care utilization. The originally suggested five factor structure of the SAIB yielded a comparative fit index (CFI) of 0.70 and the weighted root mean square residual (WRMR) was 3.68. A shortened questionnaire with 13 items and four factors resulted in better model fit (CFI 0.97 and WRMR 1.3). Correlations between subjective health and the new scales ranged from 0.06 to 0.33. Effect sizes (Cohens d) of mean differences in factor scores between those with and without healthcare system contact varied by healthcare type, ranging from 0.05 to 0.94; effect sizes were largest in relation to contact with psychotherapy and alternative medicine practitioners. We propose a shortened version of the SAIB with a different scale structure, which resulted in better model fit with our data. Neither the original nor revised SAIB appeared to discriminate well in terms of health care use, suggesting that the illness behavior as currently conceptualized may not fully explain the increased use of healthcare in the elderly.

Re-revisiting Andersen's Behavioral Model of Health Services Use: a systematic review of studies from 1998-2011

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.

Need, enabling, predisposing, and behavioral determinants of access to preventative care in Argentina: analysis of the national survey of risk factors

INTRODUCTION

Health care utilization is an important step to disease management, providing opportunities for prevention and treatment. Anderson's Health Behavior Model has defined utilization by need, predisposing, and enabling determinants. We hypothesize that need, predisposing, and enabling, highlighting behavioral factors are associated with utilization in Argentina.

METHODS

We performed a logistic regression analysis of the 2005 and 2009 Argentinean Survey of Risk Factors, a cohort of 41,392 and 34,732 individuals, to explore the association between need, enabling, predisposing, and behavioral factors to blood pressure measurement in the last year.

RESULTS

In the 2005 cohort, blood pressure measurement was associated with perception of health, insurance coverage, basic needs met, and income. Additionally, female sex, civil state, household type, older age groups, education, and alcohol use were associated with utilization. The 2009 cohort showed similar associations with only minor differences between the models.

CONCLUSIONS

We explored the association between utilization of clinical preventive services with need, enabling, predisposing, and behavioral factors. While predisposing and need determinants are associated with utilization, enabling factors such as insurance coverage provides an area for public intervention. These are important findings where policies should be focused to improve utilization of preventive services in Argentina.

Patterns of mental health care utilisation: distribution of services and its predictability from routine data

OBJECTIVES

Explore if a multi-dimensional analytic approach to routinely registered data provides a comprehensive way to characterise utilisation patterns, and to test if the patients' functional status is a predictor for the use of services.

METHOD

We linked register contact data during a two-year period, including all types of specialised mental health services, in the population of a Norwegian county. Cox regression was applied in the models for prediction of admission and readmission.

RESULTS

Great variability and complexity in patterns of utilisation were found, including multiple transitions between in-patient and out-patient statuses. The distribution of services was characterised by a small group of patients receiving a disproportionally large amount of resources. A majority of 77% appeared as out-patients only. Severity of symptoms as well as of dysfunction, as assessed by the split GAF-score, differentiated amongst utilisation groups. Both dimensions were significant predictors for admission. In contrast, only the severity of dysfunction predicted readmission.

CONCLUSION

Multi-dimensional data architecture and analytical perspectives can be applied to routine data, and should be used to analyse the diverse patterns of utilisation. Risk populations could be predicted by routinely registered information on functional status.

Patterns of ambulatory medical care utilization in elderly patients with special reference to chronic diseases and multimorbidity--results from a claims data based observational study in Germany

BACKGROUND

In order to estimate the future demands for health services, the analysis of current utilization patterns of the elderly is crucial. The aim of this study is to analyze ambulatory medical care utilization by elderly patients in relation to age, gender, number of chronic conditions, patterns of multimorbidity, and nursing dependency in Germany.

METHODS

Claims data of the year 2004 from 123,224 patients aged 65 years and over which are members of one nationwide operating statutory insurance company in Germany were studied. Multimorbidity was defined as the presence of 3 or more chronic conditions of a list of 46 most prevalent chronic conditions based on ICD 10 diagnoses. Utilization was analyzed by the number of contacts with practices of physicians working in the ambulatory medical care sector and by the number of different physicians contacted for every single chronic condition and their most frequent triadic combinations. Main statistical analyses were multidimensional frequency counts with standard deviations and confidence intervals, and multivariable linear regression analyses.

RESULTS

Multimorbid patients had more than twice as many contacts per year with physicians than those without multimorbidity (36 vs. 16). These contact frequencies were associated with visits to 5.7 different physicians per year in case of multimorbidity vs. 3.5 when multimorbidity was not present. The number of contacts and of physicians contacted increased steadily with the number of chronic conditions. The number of contacts varied between 35 and 54 per year and the number of contacted physicians varied between 5 to 7, depending on the presence of individual chronic diseases and/or their triadic combinations. The influence of gender or age on utilization was small and clinically almost irrelevant. The most important factor influencing physician contact was the presence of nursing dependency due to disability.

CONCLUSION

In absolute terms, we found a very high rate of utilization of ambulatory medical care by the elderly in Germany, when multimorbidity and especially nursing dependency were present. The extent of utilization by the elderly was related both to the number of chronic conditions and to the individual multimorbidity patterns, but not to gender and almost not to age.

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

OBJECTIVE

Somatoform disorders are common conditions, but the current diagnostic criteria are considered to be unreliable, based largely on medically unexplained symptoms. DSM-5 is considering other possible characteristics of somatizers including high utilization, dissatisfaction with care, and poor response to reassurance. This paper reviews the available literature for evidence to support these criteria, and evaluates if distinctive aspects of these characteristics exist in somatizers.

METHODS

The Pubmed database was searched combining terms such as “somatoform disorder” with “reassurance,” “satisfaction,” and “utilization.” Articles were individually inspected.

RESULTS

Many studies report a deficit in long-term response to reassurance in somatizers; there was some evidence that patients respond initially to reassurance, followed by return of anxiety, leading to further reassurance seeking. There was insufficient evidence to support poor satisfaction with care as a characteristic of somatizers. While there is no standard criterion for high utilization, regardless of definition, evidence was found to support over-utilization, particularly in outpatient visits. However, no unique pattern of utilization was found that could identify somatizers within a broader group of high utilizers.

CONCLUSIONS

This review revealed evidence of over-utilization in many areas of healthcare, as well as poor long term response to reassurance in somatizers. Dissatisfaction with care, though, was not a consistent finding. It is difficult to study alternative diagnostic criteria for somatoform patients when the current criteria rest on so many problematic assumptions. Future research should attempt to validate criteria empirically in patient groups, with selection not based on medically unexplained symptoms.

Impact of telephone medication therapy management on medication and health-related problems, medication adherence, and Medicare Part D drug costs: a 6-month follow up

BACKGROUND

The Medicare Modernization Act of 2003 mandated the provision of medication therapy management (MTM) to eligible Part D beneficiaries to improve medication-related outcomes. As MTM programs evolve, evaluation is necessary to help inform MTM best practices.

OBJECTIVE

The objective of this study was to determine the impact of pharmacist-provided telephone MTM on: (1) medication and health-related problems (MHRPs); (2) medication adherence; and (3) Part D drug costs.

METHODS

This quasi-experimental study included Part D beneficiaries from a Texas health plan. Andersen's Behavioral Model of Health Services Use served as the study framework. MTM utilization was the health behavior. Age, gender, and race were predisposing factors, and number of medications, chronic diseases, and medication regimen complexity were need factors. Outcomes were pre-to-post changes in: (1) MHRPs; (2) medication adherence, using the medication possession ratio (MPR); and (3) total drug costs. Multiple regression was used to analyze group differences while controlling for predisposing and need factors.

RESULTS

At baseline, the intervention (n = 60) and control (n = 60) groups were not statistically different regarding predisposing and need factors, with the exception of gender. The intervention group had significantly (P = 0.009) more men compared with the control group (51.7% vs 28.3%). There were 4.8 (2.7) and 9.2 (2.9) MHRPs identified at baseline and 2.5 (2.0) and 7.9 (3.0) MHRPs remained at the 6-month follow up in the intervention and control groups, respectively. The intervention group (vs control) had significantly more MHRPs resolved (P = 0.0003). There were no significant predictors of change in MPR or total drug costs from baseline to follow up, although total drug costs decreased by $158 in the intervention group compared with a $118 increase in the control group.

CONCLUSIONS

A telephone MTM program resolved significantly more MHRPs compared with a control group, but there were no significant changes in adherence and total drug costs.

Hospital admissions, emergency department utilisation and patient activation for self-management among people with diabetes

AIMS

To assess the relationship between patient activation for self-management and admissions to hospital or attendances at emergency departments among people with diabetes, after controlling for other known associations.

METHODS

Patients were randomly selected from Australia's National Diabetes Services Scheme and invited to participate in the Living with Diabetes Study, which is a longitudinal survey providing a comprehensive examination of health care utilisation, well-being and disease progression. Data was collected for 3951 participants.

RESULTS

Outcome events were defined as 1 or more hospitalization and 1 or more visits to an emergency department in the preceding 12 months. Logistic regression analyses showed six variables remained significantly associated with both outcomes: age, income, disease duration and severity, current depression and PAM stage. Patients at PAM stage 1 were 1.4 times more likely to be hospitalised (p=0.023) and 1.3 times more likely to have visited emergency (p=0.049) compared to those at stage 4.

CONCLUSIONS

Low levels of activation are associated with higher utilisation of hospital resources even after controlling for relevant factors such as disease severity and co-morbid depression. Most will be gained by moving patients from PAM stage 1 to a higher level of activation.

The role of patient activation in frequent attendance at primary care: a population-based study of people with chronic disease

OBJECTIVE

This study explores a range of relevant socio-demographic, physical and psychological factors in a unique examination of the risk factors for frequent attendance at primary care. The impact of patient activation for self-management on health service utilisation is of particular interest.

METHODS

A population-based sample of people with chronic disease from Queensland, Australia, was interviewed using computer assisted telephone surveying. Data were collected from a random sample of 1470 people with either diabetes or a cardiovascular condition.

RESULTS

As participants became more activated they were less likely to frequently attend their main health care provider for assistance with their chronic condition. For both conditions the association was graduated and for participants with a cardiovascular condition this association remained statistically significant even after controlling for other potentially influential factors such as disease severity, length of time since diagnosis, and psychological distress.

CONCLUSION

Characteristics of the individual, including patient activation and psychological functioning, as well as disease factors contribute to primary care consulting patterns among people with chronic illness.

PRACTICAL IMPLICATIONS

Efforts to improve patient activation for self-management should remain a central element of chronic care.

Emergency department visits among recipients of chronic opioid therapy

BACKGROUND

There has been an increase in overdose deaths and emergency department visits (EDVs) involving use of prescription opioids, but the association between opioid prescribing and adverse outcomes is unclear.

METHODS

Data were obtained from administrative claim records from Arkansas Medicaid and HealthCore commercially insured enrollees, 18 years and older, who used prescription opioids for at least 90 continuous days within a 6-month period between 2000 and 2005 and had no cancer diagnoses. Regression analysis was used to examine risk factors for EDVs and alcohol- or drug-related encounters (ADEs) in the 12 months following 90 days or more of prescribed opioids.

RESULTS

Headache, back pain, and preexisting substance use disorders were significantly associated with EDVs and ADEs. Mental health disorders were associated with EDVs in HealthCore enrollees and with ADEs in both samples. Opioid dose per day was not consistently associated with EDVs but doubled the risk of ADEs at morphine-equivalent doses over 120 mg/d. Use of short-acting Drug Enforcement Agency Schedule II opioids was associated with EDVs compared with use of non-Schedule II opioids alone (relative risk range, 1.09-1.74). Use of Schedule II long-acting opioids was strongly associated with ADEs (relative risk range, 1.64-4.00).

CONCLUSIONS

Use of Schedule II opioids, headache, back pain, and substance use disorders are associated with EDVs and ADEs among adults prescribed opioids for 90 days or more. It may be possible to increase the safety of chronic opioid therapy by minimizing the prescription of Schedule II opioids in these higher-risk recipients.

Predictors of preventable hospitalization in chronic disease: priorities for change

Research in the area of preventable hospitalization, hospital admissions that could otherwise be avoided, provides little guidance in terms of priority areas for change. This synthesis of multiple electronic databases searched systematically for studies related to preventable hospitalization identifies six priority areas for future action in three broad conceptual areas: person priorities (symptom management and supportive relationships), programme priorities (self-management supports and service delivery), and place priorities (local infrastructure and socio-economic opportunities). Attention to these priorities could help reduce preventable hospitalization while simultaneously improving health access and quality of care.

Use of complementary and alternative medicine for treatment among African-Americans: a multivariate analysis

BACKGROUND

The use of complementary and alternative medicine (CAM) is substantial among African-Americans; however, research on characteristics of African-Americans who use CAM to treat specific conditions is scarce.

OBJECTIVE

To determine what predisposing, enabling, need, and disease-state factors are related to CAM use for treatment among a nationally representative sample of African-Americans.

METHODS

A cross-sectional study design was employed using the 2002 National Health Interview Survey (NHIS). A nationwide representative sample of adult (> or =18 years) African-Americans who used CAM in the past 12 months (n=16,113,651 weighted; n=2,952 unweighted) was included. The Andersen Health Care Utilization Model served as the framework with CAM use for treatment as the main outcome measure. Independent variables included the following: predisposing (eg, age, gender, and education); enabling (eg, income, employment, and access to care); need (eg, health status, physician visits, and prescription medication use); and disease state (ie, most prevalent conditions among African-Americans) factors. Multivariate logistic regression was used to address the study objective.

RESULTS

Approximately 1 in 5 (20.2%) who used CAM in the past 12 months used CAM to treat a specific condition. Ten of the 15 CAM modalities were used primarily for treatment by African-Americans. CAM for treatment was significantly (P<.05) associated with the following factors: graduate education, smaller family size, higher income, region (northeast, midwest, west more likely than south), depression/anxiety, more physician visits, less likely to engage in preventive care, more frequent exercise behavior, more activities of daily living (ADL) limitations, and neck pain.

CONCLUSIONS

Twenty percent of African-Americans who used CAM in the past year were treating a specific condition. Alternative medical systems, manipulative and body-based therapies, and folk medicine, prayer, biofeedback, and energy/Reiki were used most often. Health care professionals should routinely ask patients about the use of CAM, but when encountering African-Americans, there may be a number of factors that may serve as cues for further inquiry.

Health need and the use of alternative medicine among adults who do not use conventional medicine

Background

We hypothesize that a substantial portion of individuals who forgo conventional care in a given year turn to some form of alternative medicine. This study also examines whether individuals who use only alternative medicine will differ substantially in health and sociodemographic status from individuals using neither alternative medicine nor conventional care in a given year. To identify those factors that predict alternative medicine use in those not using conventional care, we employed the socio-behavioral model of healthcare utilization.

Methods

The current study is a cross-sectional regression analysis using data from the 2002 National Health Interview Survey. Data were collected in-person from 31,044 adults throughout the 50 states and the District of Columbia.

Results

19.3% of adults (38.3 million) did not use conventional care in a 12 month period, although 39.5% of these individuals (14.7 million) reported having one or more problems with their health. Of those not using conventional care, 24.8% (9.5 million) used alternative medicine. Users of alternative medicine had more health needs and were more likely to delay conventional care because of both cost and non-cost factors compared to those not using alternative medicine. While individual predisposing factors (gender, education) were positively associated with alternative medicine use, enabling factors (poverty status, insurance coverage) were not.

Conclusions

We found that a quarter of individuals who forgo conventional care in a given year turn towards alternative medicine. Our study suggests that the potential determinants of using only alternative medicine are multifactorial. Future research is needed to examine the decision process behind an individual's choice to use alternative medicine but not conventional medicine and the clinical outcomes of this choice.

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

Complementary and Alternative Medicines (CAM) are used by an extensive number of patients in the UK and elsewhere. In order to understand this pattern of behavior, it is helpful to examine the characteristics of people who use CAM. This narrative review collates and evaluates the evidence concerning the demographic characteristics and health status factors associated with CAM use in community-based non-clinical populations. A systematic literature search of computerized databases was conducted, and published research papers which present evidence concerning associations between CAM use and demographic and health characteristics are discussed and evaluated. The evidence suggests that people who use CAM tend to be female, of middle age and have more education. In terms of their health, CAM users tend to have more than one medical condition, but might not be more likely than non-users to have specific conditions such as cancer or to rate their own general health as poor. The multivariate studies that have been conducted suggest that both demographic and health characteristics contribute independently to CAM use. In conclusion, demographic characteristics and factors related to an individual's health status are associated with CAM use. Future research is needed to address methodological limitations in existing studies.

[Current and lifetime depression as a risk factor for hospital admission in patients older than 74 years attended in an emergency department]

INTRODUCTION

Depression is especially frequent in the elderly. In addition to impairing quality of life, this disorder can affect the outcome of medical diseases. The objective is to analyze whether depressive disorders in elderly individuals attending an emergency room for medical complaints constitute a risk factor for admission.

MATERIAL AND METHODS

All patients aged more than 74 years old attending the Emergency Department of the Hospital Universitario Central de Asturias who required comprehensive geriatric assessment from 2004 to 2005 were included in this study. Sociodemographic variables and data on functional, cognitive and emotional status before attendance at the emergency department were collected. A logistic regression analysis was performed to determine whether there was an independent association between depression and admission to the Geriatric Service.

RESULTS

A total of 1016 patients (62.32% women) were evaluated. The mean age was 87.4 years. The Barthel index before admission to the emergency department was 71.8 (95% confidence interval [CI]: Depression was diagnosed in 17.4% of the patients (75.7% women). Of the whole sample, 721 patients (71.0%) were admitted to a geriatric service, while 79.7% of patients with depression were admitted (p=0.002). After multivariate regression analysis adjusted by age, sex, marital status, institutionalization, living arrangements, Barthel index and cognitive status before admission, depression was independently associated with a greater risk for admission to a geriatric service (odds ratio: 1.83, 95% CI: 1.20-2.78).

CONCLUSIONS

Depression and mood disorders constitute an independent risk factor for admission to a geriatric service in patients aged more than 74 years assessed by comprehensive geriatric methodology in an emergency department.

Influence of health-related quality of life on health service utilization in addition to socio-demographic and morbidity variables among primary care patients in China

OBJECTIVES

We aimed to investigate whether health-related quality of life (HRQOL) influences health service utilization and whether such influence exists independently in addition to socio-demographic and morbidity variables.

METHODS

A retrospective design was carried out among 737 primary care patients in mainland China. Health service utilization was measured by the number of monthly outpatient consultations and the annual hospitalization rate. HRQOL was measured by the SF-36. A clustered regression model was adopted throughout the analysis.

RESULTS

Lower HRQOL was associated with a higher utilization rate. Three out of the eight SF-36 subscales were associated with outpatient consultation, and additional two with inpatient consultation. One subscale of the SF-36 (mental health) was associated with an independent influence of 11.8% with outpatient consultation, and another subscale of the SF-36 (general health) was associated with an independent influence of 26.0% with inpatient consultation.

CONCLUSIONS

Health service utilization increased significantly with decreasing HRQOL, and the independent influence of HRQOL on health service utilization was smaller than that of socio-demographic and morbidity variables among primary care patients in mainland China.

A multivariate test of an expanded Andersen Health Care utilization model for complementary and alternative medicine (CAM) use in African Americans

OBJECTIVES

The objectives of this study were (1) to determine which Andersen Model variables [predisposing, enabling, and need (PEN)] are related to complementary and alternative medicine (CAM) use by African Americans in the past 12 months; and (2) to determine whether the addition of disease states to the Model will explain significant variation in CAM use in the past 12 months.

DESIGN

The 2002 National Health Interview Survey was used with 4256 African American adults (n = 23,828,268 weighted) selected as the study population. The dependent variable, CAM Past 12 Months, represented participants' use of at least 1 of 17 CAM modalities during the past 12 months. The Andersen Model variables [predisposing (e.g., age); enabling (e.g., insurance); and need (e.g., medical conditions)] and prevalent disease states (> or =10%) comprised the independent variables. Logistic regression analyses, incorporating the sampling weights, were employed.

RESULTS

Among predisposing factors, CAM use was associated with middle-aged to older, more educated, and female African Americans. Region (Northeast less likely than South) was the only significant enabling factor. Need factors had the most frequent relationships, with more medical conditions, more physician visits, better health status, prescription and over-the-counter medication use, more frequent exercise, and having activities of daily living limitations being associated with CAM use. After adjusting for PEN factors, the disease states of pain/aching joints, recurring pain, and migraine were related to CAM use.

CONCLUSIONS

African American CAM users are middle-aged to older, female, educated, and have more medical conditions (especially pain-related). Users report higher utilization of "traditional" care (e.g., physician visits), indicating that CAM is likely a complement to conventional treatment in this population. Health care providers should use these factors as prompts for inquiring about CAM use in African American patients.

Depressive symptoms, physician visits and hospitalization among community-dwelling older adults

BACKGROUND

The relationship between depressive symptoms and health service use among older people is not well understood. In this study we examined the two-way relationships between depressive symptoms and hospitalization and/or physician visits by older adults.

METHODS

In a one-year follow-up study of 973 community-dwelling older adults in the Singapore Longitudinal Aging Studies (SLAS), depressive symptoms (15-item Geriatric Depression Scale score > or =5) were assessed at baseline and one year later. Information on self-reported physician visits and hospitalization were collected bimonthly over one year.

RESULTS

When demographic characteristics, medical comorbidities, functional status and other covariates were controlled for, baseline depressive symptoms were associated with increased episodes of subsequent physician visits during the one-year follow-up (RR,1.34; 95% CI, 1.05-1.70), but not with subsequent hospitalization(s) during the same period. Conversely, participants with five or more physician visits (versus less than 5) over one year were more likely to be depressed at one year (OR, 10.2; 95% CI, 3.36-31.1); hospitalization during this period was also significantly associated with depressive symptoms at one year (OR = 6.43, 95% CI, 2.48-16.6).

CONCLUSION

Depressive symptoms and health service use have reciprocal relationships. Health service use for non-mental illnesses may be optimized by efforts at post-hospitalization interventions to recognize and treat depression in older persons.

Cancer informational support and health care service use among individuals newly diagnosed: a mixed methods approach

AIM

To report on the integration of quantitative and qualitative findings to increase understanding of the role of cancer informational support and use of health care services among individuals newly diagnosed with breast or prostate cancer.

METHODS

A mixed methods sequential design was used. First, a quantitative secondary analysis considered self-report data from a large number of individuals newly diagnosed with cancer (n = 250); next, a follow-up, in-depth qualitative inquiry with distinct individuals also newly diagnosed was conducted (n = 20); last, using a quantitative-hierarchical strategy, quantitative and qualitative findings were merged and re-analyzed.

RESULTS

Quantitative analyses showed significant relationships between informational support and health care services. For instance, individuals who received more intense cancer informational support [face-to-face and information technology (IT)] spent more time with nurses. Women with breast cancer as opposed to men with prostate cancer also were found to rely primarily on nurses for cancer information and information on health services available, whereas men relied mostly on their oncologists. In-depth interviews revealed that informational support could be construed as positive, unsupportive, or mixed depending on context. The mixed design analysis documented positive experiences for individuals who reported to be better prepared for consultations and treatments with information provided by more than one source. Negative experiences with physicians were reported by both women and men but the former was about quality of cancer information provided and the latter in terms of quantity.

CONCLUSIONS

A mixed methods approach allowed a deeper understanding of the role of informational support on subsequent use of health care services by individuals with cancer. Further studies may include other types of cancer and diverse background characteristics to clarify how informational support and subsequent use of health services may be jointly determined by these factors.

The impact of a multimedia informational intervention on healthcare service use among women and men newly diagnosed with cancer

This quasi-experimental longitudinal study documented the impact of a comprehensive cancer informational intervention using information technology on healthcare service use among individuals newly diagnosed with cancer. Women with breast cancer (n = 205) and men with prostate cancer (n = 45) were recruited within 8 weeks of diagnosis at 4 university teaching hospitals in Montreal, Quebec, Canada. The intervention group (n = 148) received a 1-hour training on information technology use, a CD-ROM on cancer, and a list of reputable cancer-related Web sites. The intervention material was available for a period of 8 weeks. The control group (n = 102) received usual care. Self-reported questionnaires were completed at T1 (baseline), T2 (1 week after intervention), and T3 (3 months after intervention). Using multivariate statistics, the experimental group reported significantly more satisfaction with cancer information received compared to the control group. No significant differences were found between experimental and control groups in their reliance on healthcare services. However, women as opposed to men spent more time with nurses, were more satisfied with cancer information received, and relied more heavily on health services. Future research would explore whether the latter observations reflect genuine sex differences or are more contingent on the specific cancer diagnosis.

Public and private healthcare services utilization by non-institutional elderly in Hong Kong: is the inverse care law operating?

OBJECTIVES

To assess the factors associated with healthcare services utilization by the non-institutional elderly across five types of service utilization (Western medicine doctors in Government clinics, private Western medicine doctors, Chinese medicine practitioners, Emergency Units, and hospitalization).

METHODS

A secondary data analysis of a territory-wide cross-sectional survey collected by the Government among a representative sample of 4812 elderly (aged 60 and above) in Hong Kong.

RESULTS

Our analysis, based on Anderson's behavioral framework, shows that need factors (relating to actual or perceived illness and diseases) are significantly related to the healthcare services utilization examined. However, enabling factors, such as monthly household income per capita, play a significant role in determining the utilization. Although the lower-income elderly consult more Government clinics and less private clinics than the more affluent, they have a lower total utilization of healthcare services despite having significantly greater healthcare needs.

CONCLUSIONS

This suggests a mismatch of need and supply within the mixed economy of private and public healthcare services and suggests the existence of an 'inverse care law' in Hong Kong amongst elderly citizens. The findings raise concerns of inequities in Hong Kong's healthcare system, raising implications for future healthcare reforms.

Risk factors for hospitalization among community-dwelling primary care older patients: development and validation of a predictive model

BACKGROUND

Unplanned hospitalization often represents a costly and hazardous event for the older population.

OBJECTIVES

To develop and validate a predictive model for unplanned medical hospitalization from administrative data.

RESEARCH DESIGN

Model development and validation.

SUBJECTS

A total of 3919 patients aged > or =70 years who were followed for at least 1 year in primary care clinics of an academic medical center.

MEASURES

Risk factor data and the primary outcome of unplanned medical hospitalization were obtained from administrative data.

RESULTS

Of 1932 patients in the development cohort, 299 (15%) were hospitalized during 1 year follow up. Five independent risk factors were identified in the preceding year: Deyo-Charlson comorbidity score > or =2 [adjusted relative risk (RR) = 1.8; 95% confidence interval (CI): 1.4-2.2], any prior hospitalization (RR = 1.8; 95% CI: 1.5-2.3), 6 or more primary care visits (RR = 1.6; 95% CI: 1.3-2.0), age > or =85 years (RR = 1.4; 95% CI: 1.1-1.7), and unmarried status (RR = 1.4; 95% CI: 1.1-1.7). A risk stratification system was created by adding 1 point for each factor present. Rates of hospitalization for the low- (0 factor), intermediate- (1-2 factors), and high-risk (> or =3 factors) groups were 5%, 15%, and 34% (P < 0.0001). The corresponding rates in the validation cohort, where 328/1987 (17%) were hospitalized, were 6%, 16%, and 36% (P < 0.0001).

CONCLUSIONS

A predictive model based on administrative data has been successfully validated for prediction of unplanned hospitalization. This model will identify patients at high risk for hospitalization who may be candidates for preventive interventions.