Lost working days, productivity, and restraint use among occupants of motor vehicles that crashed in the United States.

BACKGROUND: In 2001, 6.3 million passengers were involved in motor vehicle crashes. This study aimed to determine the number of work days lost as a result of motor vehicle crashes and factors that influenced people's return to work. METHODS: This was a retrospective, population based cohort study of occupants in motor vehicles involved in crashes from the 1993-2001 Crashworthiness Data System produced by the National Highway Traffic Safety Administration. The sample population of people aged 18-65 years included two groups: occupants who survived and were working before the crash and occupants who were injured fatally and were estimated to have been working before the crash. Multivariate linear regression was used to analyze the impact of restraint use and injury type on return to work. RESULTS: Overall, 30.1% of occupants of vehicles that crashed missed one or more days of work. A crash resulted in a mean 28.0 (95% confidence interval 15.8 to 40.1) days lost from work, including losses associated with fatalities. The 2.1 million working occupants of vehicles that crashed in 2001 lost a total of 60 million days of work, resulting in annual productivity losses of over $7.5 billion (2964 to 12 075). Unrestrained vehicle occupants accounted for $5.6 billion in lost productivity. CONCLUSIONS: Motor vehicle crashes result in large and potentially preventable productive losses that are mostly attributable to fatal injuries.

The effect of neighborhood-based community organizing: results from the Seattle Minority Youth Health Project.

OBJECTIVE: To evaluate the effect of a community mobilization and youth development strategy to prevent drug abuse, violence, and risky sexual activity. DATA SOURCES/STUDY SETTING: Primary surveys of youth, parents, and key neighborhood leaders were carried out at baseline (1994) and at the end of the intervention period (1997). The study took place in four intervention and six control neighborhoods in Seattle. STUDY DESIGN: The study was designed as a randomized controlled trial with neighborhood as the unit of randomization. The intervention consisted of a paid community organizer in each neighborhood who recruited a group of residents to serve as a community action board. Key variables included perceptions of neighborhood mobilization by youth, parents, and key neighborhood leaders. DATA COLLECTION/EXTRACTION METHODS: Youth surveys were self-administered during school hours. Parent and neighborhood leader surveys were conducted over the phone by trained interviewers. PRINCIPAL FINDINGS: Survey results showed that mobilization increased to the same degree in both intervention and control neighborhoods with no evidence of an overall intervention effect. There did appear to be a relative increase in mobilization in the neighborhood with the highest level of intervention activity. CONCLUSION: This randomized study failed to demonstrate a measurable effect for a community mobilization intervention. It is uncertain whether the negative finding was because of a lack of strength of the interventions or problems detecting intervention effects using individual-level closed-end surveys.

The Kaiser Family Foundation Community Health Promotion Grants Program: findings from an outcome evaluation.

OBJECTIVES: To present results from an outcome evaluation of the Henry J. Kaiser Family Foundation's Community Health Promotion Grants Program (CHPGP) in the West, which represented a major community-based initiative designed to promote improved health by changing community norms, environmental conditions, and individual behavior in 11 western communities. METHODS: The evaluation design: 14 randomly assigned intervention and control communities, 4 intervention communities selected on special merit, and 4 matched controls. Data for the outcome evaluation were obtained from surveys, administered every two years at three points in time, of community leaders and representative adults and adolescents, and from specially designed surveys of grocery stores. Outcomes for each of the 11 intervention communities were compared with outcomes in control communities. RESULTS: With the exception of two intervention communities-a largely Hispanic community and a Native American reservation-we found little evidence of positive changes in the outcomes targeted by the 11 intervention communities. The programs that demonstrated positive outcomes targeted dietary behavior and adolescent substance abuse. CONCLUSIONS: Improvement of health through community-based interventions remains a critical public health challenge. The CHPGP, like other prominent community-based initiatives, generally failed to produce measurable changes in the targeted health outcomes. Efforts should focus on developing theories and methods that can improve the design and evaluation of community-based interventions.

Measuring the "managedness" and covered benefits of health plans.

STUDY AIMS: (1) To develop indexes measuring the degree of managedness and the covered benefits of health insurance plans, (2) to describe the variation in these indexes among plans in one health insurance market, (3) to assess the validity of the health plan indexes, and (4) to examine the association between patient characteristics and the health plan indexes. Measures of the "managedness" and covered benefits of health plans are requisite for studying the effects of managed care on clinical practice and health system performance, and they may improve people's understanding of our complex health care system. DATA SOURCES/STUDY SETTING: As part of our larger Physician Referral Study, we collected health insurance information for 189 insurance product lines and 755 products in the Seattle, Washington metropolitan area, which we linked with the study's data for 2,277 patients recruited in local primary care offices. STUDY DESIGN: Managed care and benefit variables were constructed through content analysis of health plan information. Principal component analysis of the variables produced a managedness index, an in-network benefits index, and an out-of-network benefits index. Bivariable analyses examined associations between patient characteristics and the three indexes. PRINCIPAL FINDINGS: From the managed care variables, we constructed three provider-oriented indexes for the financial, utilization management, and network domains of health plans. From these, we constructed a single managedness index, which correlated as expected with the individual measures, with the domain indexes, with plan type (FFS, PPO, POS, HMO), with independent assessments of local experts, and with patients' attitudes about their health insurance. For benefits, we constructed an in-network benefits index and an out-of-network benefits index, which were correlated with the managedness index. The personal characteristics of study patients were associated with the managed care and benefit indexes. Study patients in more managed plans reported somewhat better health than patients in less managed plans. CONCLUSIONS: Indexes of the managedness and benefits of health plans can be constructed from publicly available information. The managedness and benefit indexes are associated with the personal characteristics and health status of study patients. Potential uses of the managed care and benefits indexes are discussed.

Risk adjusting capitation: applications in employed and disabled populations.

Risk adjustment may be a sensible strategy to reduce selection bias because it links managed care payment directly to the costs of providing services. In this paper we compare risk adjustment models in two populations (public employees and their dependents, and publicly-insured low income individuals with disabilities) in Washington State using two statistical approaches and three health status measures. We conclude that a two-part logistic/GLM statistical model performs better in populations with large numbers of individuals who do not use health services. This model was successfully implemented in the employed population, but the managed care program for the publicly insured population was terminated before risk adjustment could be applied. The choice of the most appropriate health status measure depends on purchasers' principles and desired outcomes.

Primary care physicians' participation in managed care networks.

The study described in this article explored the relationships between primary care physician characteristics and patterns of managed care affiliation in a single region. Secondary data sources were used to investigate the affiliations of all primary care physicians in King County, Washington (Seattle and environs) with 29 managed care products in 1996. Descriptive findings indicate that specialty, board certification, and experience all are associated with the managed care affiliations held by physicians. Differences between managed care product provider lists suggest that there are different strategies for the design and management of provider networks.

Methods for analyzing health care utilization and costs.

Important questions about health care are often addressed by studying health care utilization. Utilization data have several characteristics that make them a challenge to analyze. In this paper we discuss sources of information, the statistical properties of utilization data, common analytic methods including the two-part model, and some newly available statistical methods including the generalized linear model. We also address issues of study design and new methods for dealing with censored data. Examples are presented.

Increasing response rates for mailed surveys of Medicaid clients and other low-income populations.

Mailing surveys to low-income populations is often avoided because of concern about low response rates. In this study, the authors used a mailed survey of a low-income population to test whether $1.00 or $2.00 cash-response incentives were worth the expense and whether 2-day priority mail ($2.90 postage) would yield a sufficiently higher response rate than certified mail ($1.52 postage) to justify its cost. In 1994, 2,243 randomly selected families in subsidized health care programs in Pierce County, Washington, were randomly sent no incentive, $1.00, or $2.00 in the first of three mailings. For the third mailing, nonrespondents were randomly assigned to receive either certified or 2-day priority mail. After 4 weeks, the response rates were 36.7%, 48.1%, and 50.3% for the no-incentive, $1.00, and $2.00 groups, respectively. After three mailings, the cost per response was the lowest for the group that received $1.00. The response rate for the certified mailing (28.1%) was significantly higher than the rate for the more expensive priority mailing (21.7%). No incentive-related bias was detected. The authors concluded that the most efficient protocol for this low-income population was to use a $1.00 incentive in the first mailing and a certified third mailing.

Explaining community-level variance in group randomized trials.

Between-community variance or community-by-time variance is one of the key factors driving the cost of conducting group randomized trials, which are often very expensive. We investigated empirically whether between-community variance could be reduced by controlling individual- and/or community-level covariates and identified these covariates from four large community-based group randomized trials or surveys: the Working Well Trial; Kaiser Adolescent Survey; Kaiser Adults Survey; and the Eating Patterns Study. We found that adjusting for covariates will often substantially reduce the between-community variance component. Therefore investigators could block the communities according to these covariates, or adjust for these covariates to improve the power of community trials. We found that the community-by-time variance components are always near zero in these data sets, especially for the surveys where a cohort was followed over time. The covariate adjustment had less impact on reducing the community-by-time variance for the cohort samples than for the cross-sectional samples. This suggests that blocking may not be necessary for the design of the group randomized trials where the change from baseline is of primary interest. The Working Well Trial data were used to illustrate this point.

Mortality, health services use, and health behavior in a cohort of well older adults.

OBJECTIVES: To construct an evidence-based Good Health Behavior Score and examine the relationship between aggregate health behaviors, mortality, and health services utilization in the last year of life in a cohort of well older adults. DESIGN: A prospective cohort. SETTING: A large health maintenance organization. PARTICIPANTS: 1867 older enrollees who responded to a health promotion survey. MEASUREMENTS: A baseline self-administered questionnaire was used to ascertain health behaviors in 1987-1988, and vital status was determined 48 months later. A Good Health Behavior Score was calculated, and a Cox proportional hazards model was used to compare high, middle, and low score groups regarding risk of death. For those who died, differences in amount and type of health services utilization in relation to the summary score were compared for the year before death. RESULTS: During the 4 years of follow-up, the mortality rate for the mid-level score group was 50% less, and in the highest score group was 70% less, than in the lowest score group. Among decedents, no significant differences were found between high and low Good Health Behavior score groups for inpatient and outpatient utilization, pharmacy use, or total cost during the last year of life. CONCLUSION: An easily developed and simple health behavior score can predict short term mortality quite strongly. Medical care costs in the last year of life were similar in individuals with higher and lower health behavior scores.

Cost and outcomes of Medicare reimbursement for HMO preventive services.

Medicare beneficiaries enrolled in a health maintenance organization (HMO) were randomized to a preventive services benefit package for 2 years or to usual care. At 24- and 48-month follow-ups, the treatment group had completed more advance directives, participated in more exercise, and consumed less dietary fat than the control group. Unexpectedly, more deaths occurred in the treatment group. Surviving treatment-group enrollees reported higher satisfaction with health, less decline in self-rated health status, and fewer depressive symptoms than surviving control participants. Despite these changes, the intervention did not yield lower cost per quality-adjusted life year in this historically prevention-oriented HMO.

State-sponsored programs for the uninsured: is there adverse selection?

Risk contracting by states for coverage of previously uninsured populations has been hampered by uncertainty regarding likely claims experience. This study reports on the utilization experience of two state programs offering subsidized coverage in commercial managed care organizations to low-income and previously uninsured people. Program participants used services similarly to people enrolled through large employer benefit plans. There was no evidence of pent-up demand or an unusual level of chronic illness. Similarly, there was little evidence of underutilization, although dissatisfaction and reported barriers to service were more frequent among nonwhite enrollees.

Hospitalizations for back and neck problems: a comparison between the Province of Ontario and Washington State.

OBJECTIVE: To examine back and neck hospitalizations in the Province of Ontario and Washington State. Because of their different organization and financing, there has been considerable interest in comparing healthcare systems in Canada and the United States. Features of healthcare systems might be expected to result in greater variations in care for elective than urgent conditions. DATA SOURCE: Automated hospital discharge databases. STUDY DESIGN: Previously developed algorithms were used to identify surgical and nonsurgical hospitalizations for back and neck problems in the administrative databases. We compared overall rates of hospitalization and lengths of hospital stay in Ontario and Washington as well as small area variations within the province and state. PRINCIPAL FINDINGS: Surgical back and neck hospitalizations were three times as common in Washington, but medical hospitalizations were twice as common in Ontario. Provincial lengths of stay were longer for both surgical and nonsurgical hospitalizations. Admission rates varied substantially and significantly among small areas in both Washington and Ontario. Variations in hospital length of stay were greater in Ontario, particularly for nonsurgical back and neck hospitalizations. CONCLUSION: The two jurisdictions had very different patterns of hospital utilization for one of the most common health problems seen by physicians. Our results suggest that the global controls on hospital budgets and access to technology in Ontario were associated with lower rates of surgery, higher rates of hospital-based medical care, and longer lengths of stay. They also indicate that the utilization review process in Washington was associated with lower small area variation rates for medical back care.

Predicting future years of healthy life for older adults.

Cost-effectiveness studies often need to compare the cost of a program to the lifetime benefits of the program, but estimates of lifetime benefits are not routinely available, especially for older adults. We used data from two large longitudinal studies of older adults (ages 65-100) to estimate transition probabilities from one health state to another, and used those probabilities to estimate the mean additional years of healthy life that an older adult of specified age, sex, and health status would experience. We found, for example, that 65-year-old women in excellent health can expect 16.8 years of healthy life in the future, compared to only 8.5 years for women in poor health. We also provide estimates of discounted years of healthy life and future life expectancy. These estimates may be used to extend the effective length of the study period in cost-effectiveness studies, to examine the impact of chronic diseases or risk factors on years of healthy life, or to investigate the relationship of years of life to years of healthy life. Several applications are described.

Implementation of the Henry J. Kaiser Family Foundation's Community Health Promotion Grant Program: a process evaluation.

The Community Health Promotion Grants Program, sponsored by the Henry J. Kaiser Family Foundation, represents a major health initiative that established 11 community health promotion projects. Successful implementation was characterized by several critical factors: (1) intervention activities; (2) community activation; (3) success in obtaining external funding; and (4) institutionalization. Analysis of the program was based on data from several sources: program reports, key informant surveys, and a community coalition survey. Results indicate that school-based programs focusing on adolescent health problems were the most successful in reaching the populations they were targeting. The majority of the programs were able to attract external funding, thereby adding to their initial resource base. The programs were less successful in generating health promotion activities and in achieving meaningful institutionalization in their communities.

Dietary assessment instruments are susceptible to intervention-associated response set bias.

OBJECTIVE: Evaluations of trials of the effectiveness of dietary intervention programs may be compromised by response set biases, such as those attributable to social desirability. Participants who receive a behavioral intervention may bias their reports of diet to appear in compliance with intervention goals. This study examined whether responses to standard dietary assessment instruments could be affected by a brief dietary intervention. DESIGN: We assigned 192 undergraduate students randomly to (a) see a 17-minute videotape on the consequences of eating a high-fat diet or a placebo videotape on workplace management and (b) receive preintervention and post-intervention assessments or only postintervention assessment. Dietary assessments included 4 independent measures of fat intake. RESULTS: Among women, bias (intervention minus control) was -9.7 g fat (from a short food frequency questionnaire) and -0.6 high-fat foods (from a questionnaire about use of 23 foods in the previous day) (P < .05 for both). No results were significant among men or for 2 instruments that measured more qualitative aspects of fat-related dietary habits. APPLICATIONS: Even a modest dietary intervention can affect responses to dietary assessment instruments. Nutritionists should recognize that assessment of adherence to dietary change recommendations, when based on dietary self-report, can be overestimated as a result of response set biases.

The complications of trauma and their associated costs in a level I trauma center.

OBJECTIVES: To estimate the expected costs for acute trauma care, to quantify the costs associated with the development of complications in injury victims, and to determine the deficit incurred by patients in whom complications develop. DESIGN: A retrospective, cohort design. SETTING: A referral trauma center. PATIENTS: A total of 12,088 patients admitted to a single regional trauma center during a period of 5 years. INTERVENTIONS: This is an observational study, and no interventions specific to this study are included in the design. MAIN OUTCOME MEASURES: (1) The expected costs for injury victims based on readily available clinical data. (2) The costs associated with the most important complications of trauma. (3) The effect of complications on inadequate reimbursement for trauma care. RESULTS: The expected costs were estimated using a linear model incorporating demographic variables and measures of injury severity. The expected costs averaged $14,567, and the observed costs averaged $15,032. Six complications were important predictors of cost. These included adult respiratory distress syndrome, acute kidney failure, sepsis, pneumonia, decubitus ulceration, and wound infections. For 1201 individuals with these complications, the predicted costs averaged $23,266 and the observed costs averaged $47,457. The mean excess costs for a single complication ranged from $6669 to $18,052. Multiple complications led to greater increases in excess cost, averaging $110,007 for the 62 patients with 3 or more complications. Costs exceeded reimbursement to a much greater degree in those in whom any of the 6 complications developed. CONCLUSION: Expected hospital costs can be estimated using admission clinical data. Each of 6 complications was associated with enormous increases in costs, indicating their importance as a cause of avoidable expenditures in injury victims and identifying situations in which reimbursement may not be adequate.

Health care utilization for the "newly insured": results from the Washington Basic Health Plan.

The risk of providing coverage for low-income people formerly without insurance is unknown. We conducted an evaluation to describe the use of services from 1989-1992 for members of the Basic Health Plan (BHP), a subsidized health insurance program for low-income individuals in the state of Washington. There was evidence of pent-up demand for care for those who had been without insurance for more than a year. Overall, members in the BHP program were not high users of care, although one of the three plans we examined had significantly higher utilization than the other two. BHP total expenditures were comparable to those for state employees and lower than those for Medicaid recipients.

Will uninsured people volunteer for voluntary health insurance? Experience from Washington State.

OBJECTIVES: In national and local discussions of health care reform, there is disagreement about whether a national health insurance plan should be mandatory or voluntary. This study describes characteristics of low- income people who were more likely or less likely to be covered by a voluntary plan. METHODS: Survey data were available from an evaluation of Washington State's Basic Health Plan, which offered subsidized health insurance to low-income residents. For those subjects who were eligible and uninsured at baseline, those who joined were compared with those who did not join on a variety of demographic and health-related characteristics. RESULTS: There were substantial differences between those who did and did not join the Basic Health Plan. Those who did not enroll were generally less well-off, with less education, lower income, and worse health. Many had never had health insurance. CONCLUSIONS: If health care reform results in a voluntary plan, additional measures may be needed to ensure that less advantaged citizens have adequate access to health care.