A strategy to promote population-wide life satisfaction while advancing equity.

OBJECTIVES: To develop a strategy to promote life satisfaction with equity for a diverse insured population. STUDY DESIGN: Cross-sectional survey and claims analysis. METHODS: We conduct an ongoing survey of a stratified random sample of adult plan members. Among other questions, the survey asks about adequacy of physical activity, healthy eating, abstinence from tobacco, limited alcohol consumption, adequate sleep, and whether the respondent takes time to think about the good things that happen to them (hereafter referred to as "healthy thinking"). We assessed the association of demographic characteristics and the 6 behaviors with life satisfaction. RESULTS: We found that although all 6 behaviors were positively associated with life satisfaction, healthy thinking was the behavior associated with the greatest difference in life satisfaction between individuals who did and those who did not practice the behavior. We also found that although members insured through Medicaid or who had a psychosocial diagnosis tended to report significantly lower levels of life satisfaction, two-thirds of the opportunity to improve life satisfaction across the member population was among individuals with neither of these attributes. CONCLUSIONS: The most effective strategy to promote both overall life satisfaction and equity will address social determinants for members with unmet social needs, provide the behavioral and mental health services that benefit members with these needs, and promote healthy lifestyles with an emphasis on healthy thinking for the entire population.

The Predicted Impact of Adopting Health-Promoting Behaviors on Disease Burden in a Commercially Insured Population.

OBJECTIVE: The aim of this study was to better understand, in a commercially insured population, the potential impact of adopting six health-promoting behaviors relative to treating diseases and conditions. METHODS: We combined survey and insurance claims data to compare the potential benefit from adopting behaviors relative with the burden from 27 groups of diseases and conditions. RESULTS: If every member adopted all six behaviors, an 11.6% reduction in disability-adjusted life years (DALYs) might be expected, and a 7.6% reduction in DALYs might be expected if they adopted the one most impactful behavior that they did not currently practice. These amounts are, respectively, greater than the DALYs attributed to all but the two and five most burdensome groups of diseases and conditions in this population. CONCLUSIONS: The potential impact of adopting health-promoting behaviors is large relative to the burden from most medical conditions.

The health and well-being of an ACO population.

OBJECTIVES: To identify opportunities to improve the health and well-being of members of HealthPartners, a health plan based in Minnesota. STUDY DESIGN: Cross-sectional analysis of insurance claims, death records, and survey data. METHODS: We calculated a current health score from insurance claims and death records for all 754,584 members 18 years and older who met inclusion and exclusion criteria for the period January 1, 2015, to December 31, 2015, and/or January 1, 2016, to December 31, 2016. Adjusting responses to represent the member population, we calculated a future health score based on 7 items and a 1-item well-being score from survey data that we collected between July 1, 2015, and December 31, 2016. RESULTS: Forty-four percent of the loss to the current health score among HealthPartners members is attributable to musculoskeletal, psychosocial, and neurologic conditions. Among the 7 components of the future health score, the greatest opportunity for improvement (31% of the total potential) is increasing dietary fruits and vegetables. Although 42% of the members reported high levels of well-being, 14% reported low levels. On average, members with the lowest levels of well-being were insured by a Medicaid product and had low educational achievement. CONCLUSIONS: By applying the summary measures of health and well-being to the HealthPartners member population, we identified opportunities to address conditions that created a high burden on current health, opportunities to improve prospects for future health, and subpopulations who would benefit from interventions that would increase their sense of well-being.

Validating a method to assess disease burden from insurance claims.

OBJECTIVES: To validate a method that estimates disease burden as disability-adjusted life-years (DALYs) from insurance claims and death records for the purpose of identifying the conditions that place the greatest burden of disease on an insured population. STUDY DESIGN: Comparison of the DALYs generated from death records and insurance claims with functional status and health status reported by individuals who were insured with one of HealthPartners' commercial products and completed a health assessment in 2011, 2012, or 2013. METHODS: We calculated values of Spearman's ρ, the rank-order coefficient of correlation, for the correlation of DALYs with self-reported function and self-reported health. We did the same for the number of medical conditions per member and the cost of claims per member. RESULTS: The Spearman's ρ values for the correlation of DALYs with function were -0.241, -0.238, and -0.229 in 2011, 2012, and 2013, respectively (all P <.0001). The respective Spearman's ρ values for the correlation of DALYs with health were -0.197, -0.189, and -0.192 (all P <.0001). These Spearman's ρ values were similar in magnitude to those for the correlation of the number of medical conditions per member with function (-0.212, -0.213, and -0.205) and health (-0.199, -0.196, and -0.198) over the 3 years. The Spearman's ρ values for the correlation of DALYs with function and health were greater than or equal to those for the correlation of cost of claims per member with function (-0.144, -0.193, and -0.186) and greater than those for the cost of claims per member with health (-0.126, -0.150, and -0.151). CONCLUSIONS: Health plans can use DALYs calculated from their own health insurance claims and death records as a valid and inexpensive method to identify the conditions that place the greatest burden of poor function and ill health on their insured populations.

Concordance Between Life Satisfaction and Six Elements of Well-Being Among Respondents to a Health Assessment Survey, HealthPartners Employees, Minnesota, 2011.

INTRODUCTION: We assessed and tracked perceptions of well-being among employees of member companies of HealthPartners, a nonprofit health care provider and health insurance company in Bloomington, Minnesota. The objective of our study was to determine the concordance between self-reported life satisfaction and a construct of subjective well-being that comprised 6 elements of well-being: emotional and mental health, social and interpersonal status, financial status, career status, physical health, and community support. METHODS: We analyzed responses of 23,268 employees (of 37,982 invitees) from 6 HealthPartners companies who completed a health assessment in 2011. We compared respondents' answers to the question, "How satisfied are you with your life?" with their indicators of well-being where "high life satisfaction" was defined as a rating of 9 or 10 on a scale of 0 (lowest) to 10 (highest) and "high level of well-being" was defined as a rating of 9 or 10 for 5 or 6 of the 6 indicators of well-being. RESULT: We found a correlation between self-reported life satisfaction and the number of well-being elements scored as high (9 or 10) (r = 0.62, P < .001); 73.6% of the respondents were concordant (high on both or high on neither). Although 82.9% of respondents with high overall well-being indicated high life satisfaction, only 34.7% of those indicating high life satisfaction reported high overall well-being. CONCLUSION: The correlation between self-reported life satisfaction and our well-being measure was strong, and members who met our criterion of high overall well-being were likely to report high life satisfaction. However, many respondents who reported high life satisfaction did not meet our criterion for high overall well-being, which suggests that either they adapted to negative life circumstances or that our well-being measure did not identify their sources of life satisfaction.

The association between optimal lifestyle-related health behaviors and employee productivity.

OBJECTIVE: To investigate the association between lifestyle-related health behaviors including sleep and the cluster of physical activity, no tobacco use, fruits and vegetables intake, and alcohol consumption termed the "Optimal Lifestyle Metric" (OLM), and employee productivity. METHODS: Data were obtained from employee health assessments (N = 18,079). Regression techniques were used to study the association between OLM and employee productivity, sleep and employee productivity, and the interaction of both OLM and sleep on employee productivity. RESULTS: Employees who slept less or more than 7 or 8 hours per night experienced significantly more productivity loss. Employees who adhered to all four OLM behaviors simultaneously experienced less productivity loss compared with those who did not. CONCLUSIONS: Adequate sleep and adherence to the OLM cluster of behaviors are associated with significantly less productivity loss.

Reducing occupational sitting time and improving worker health: the Take-a-Stand Project, 2011.

BACKGROUND: Prolonged sitting time is a health risk. We describe a practice-based study designed to reduce prolonged sitting time and improve selected health factors among workers with sedentary jobs. COMMUNITY CONTEXT: We conducted our study during March-May 2011 in Minneapolis, Minnesota, among employees with sedentary jobs. METHODS: Project implementation occurred over 7 weeks with a baseline period of 1 week (period 1), an intervention period of 4 weeks (period 2), and a postintervention period of 2 weeks (period 3). The intervention group (n = 24) received a sit-stand device during period 2 designed to fit their workstation, and the comparison group (n = 10) did not. We used experience-sampling methods to monitor sitting behavior at work during the 7 weeks of the project. We estimated change scores in sitting time, health risk factors, mood states, and several office behaviors on the basis of survey responses. OUTCOME: The Take-a-Stand Project reduced time spent sitting by 224% (66 minutes per day), reduced upper back and neck pain by 54%, and improved mood states. Furthermore, the removal of the device largely negated all observed improvements within 2 weeks. INTERPRETATION: Our findings suggest that using a sit-stand device at work can reduce sitting time and generate other health benefits for workers.

The association between health assessment-derived summary health scores and health care costs.

OBJECTIVE: To study the association between summary health scores and health care costs in the following year. METHODS: Eligible employees (N = 20,662) completed a health assessment (HA) which provided an overall summary health score (THPS) and subscores for Modifiable Health Potential (MHPS), Quality of Life (QOLS), and Non-Modifiable Health Potential (NMHPS). Annual health care costs were predicted using ordinary least square regression models for THPS, MHPS, and QOLS. RESULTS: Single point increments in THPS, MHPS, and QOLS were associated with $14.00, $5.40, and $49.70 lower health care costs in the following year, respectively. CONCLUSIONS: HA-derived lifestyle-related modifiable health factors as well as factors related to quality of life expressed as summary health scores are associated with health care costs in the following year.

Adherence to optimal lifestyle behaviors is related to emotional health indicators among employees.

Simultaneous adherence to abstinence from smoking, adequate physical activity, eating 5 servings of fruits and vegetables each day, and consuming limited or no amount of alcohol has been associated with a variety of health outcomes, but not emotional health. The purpose of this investigation was to study the association between optimal lifestyle behaviors and self-reported emotional health indicators among employed adults. Emotional health indicators studied were feeling depressed, stress risk, and the impact of emotional health on daily life among employees (N = 34,603). Binary logistic regression models were used to predict likelihood of feeling depressed and risk of stress based on degree of adherence to optimal lifestyle. Multinomial logistic regression models were used to assess the association between adherence to optimal lifestyle and likelihood of emotional quality of life among employees. Analyses were adjusted for age, sex, socioeconomic status (using the area deprivation index), sleep, self-perceived health status, self-efficacy, and chronic conditions including depression. All data were self-reported except for the area deprivation index. Adherence to any 3 or 4 components of the optimal lifestyle was associated with all 3 emotional health issues studied: Lower odds of feeling depressed, reporting stress risk, and emotional health affecting daily life. Adherence to any 2 components of the optimal lifestyle metric was associated with lower odds of feeling depressed and emotional health affecting daily life. All 4 individual lifestyle behaviors had significant associations with at least 2 of the 3 emotional health outcomes studied. Adherence to optimal lifestyle is associated with significantly more positive emotional health states as measured by feeling depressed, risk for high stress, and impact of emotional health on daily life. While causality cannot be inferred, the strength of the associations warrants trials to determine the extent to which adopting positive lifestyles can result in improved mental health.

The association between optimal lifestyle adherence and short-term incidence of chronic conditions among employees.

"Optimal lifestyle," comprising abstinence from smoking, adequate physical activity, eating 5 servings of fruits and vegetables each day, and consuming limited or no alcohol, is associated with low risk of chronic disease when unselected populations are observed for long periods of time. It is unclear whether these same associations are present when observation is limited to employed individuals followed for a brief period of time. The purpose of this investigation was to study the association between adherence to optimal lifestyle and the incidence of chronic conditions among employees over a 2-year period. Logistic regression was used to assess the association between employees' (N = 6848) adherence to optimal lifestyle and the incidence of diabetes, heart disease, cancer, hypertension, high cholesterol, and back pain during a 2-year period. All data were self-reported. Adherence to any 3 components of the optimal lifestyle was associated with a significantly lower near-term incidence of diabetes (odds ratio [OR] = 0.56; 95% confidence interval [CI] = 0.31-0.97) and back pain (OR = 0.69; 95% CI = 0.53-0.92). Adherence to all 4 optimal lifestyle components was significantly associated with lower near-term incidence of back pain (OR = 0.44; 95% CI = 0.26-0.76). Physical activity was associated with significantly lower near-term incidence risk of heart disease (OR = 0.60; 95% CI = 0.38-0.95), high cholesterol (OR = 0.80; 95% CI = 0.66-0.99), and diabetes (OR = 0.51; 95% CI = 0.30-0.86). Adherence to optimal lifestyle, in particular adequate physical activity, is associated with lower near-term risk of developing several chronic conditions. Employers and payers should consider this fact when formulating policy or allocating resources for health care and health promotion.