An Electronic Teen Questionnaire, the eTeenQ, for Risk Behavior Screening During Adolescent Well Visits in an Integrated Health System: Development and Pilot Implementation.

Background: Screening for risk behaviors is a routine and essential component of adolescent preventive health visits. Early identification of risks can inform targeted counseling and care. If stored in discrete fields in the electronic health record (EHR), adolescent screening data can also be used to understand risk behaviors across a clinic or health system or to support quality improvement projects. Objective: Goals of this pilot study were to adapt and implement an existing paper adolescent risk behavior screening tool for use as an electronic data capture tool (the eTeenQ), to evaluate acceptance of the eTeenQ, and to describe the prevalence of the selected risk behaviors reported through the eTeenQ. Methods: The multidisciplinary project team applied an iterative process to develop the 29-item eTeenQ. Two unique data entry forms were created with attention to (1) user interface and user experience, (2) the need to maintain patient privacy, and (3) the potential to transmit and store data for future use in clinical care and research. Three primary care clinics within a large health system piloted the eTeenQ from August 17, 2020, to August 27, 2021. During preventive health visits for adolescents aged 12 to 18 years, the eTeenQ was completed on tablets and responses were converted to a provider display for teens and providers to review together. Responses to the eTeenQ were stored in a REDCap (Research Electronic Data Capture; Vanderbilt University) database, and for patients who agreed, responses were transferred to an EHR flowsheet. Responses to selected eTeenQ questions are reported for those consenting to research. At the conclusion of the pilot, the study team conducted semistructured interviews with providers and staff regarding their experience using the eTeenQ. Results: Among 2816 adolescents with well visits, 2098 (74.5%) completed the eTeenQ. Of these, 1811 (86.3%) agreed to store responses in the EHR. Of 1632 adolescents (77.8% of those completing the eTeenQ) who consented for research and remained eligible, 1472 (90.2%) reported having an adult they can really talk to and 1510 (92.5%) reported feeling safe in their community, yet 401 (24.6%) reported someone they lived with had a gun and 172 (10.5%) reported having had a stressful or scary event that still bothered them. In addition, 157 (9.6%) adolescents reported they were or wondered if they were gay, lesbian, bisexual, pansexual, asexual, or other, and 43 (2.6%) reported they were or wondered if they were transgender or gender diverse. Of 11 staff and 7 providers completing interviews, all felt that the eTeenQ improved confidentiality and willingness among adolescents to answer sensitive questions. All 7 providers preferred the eTeenQ over the paper screening tool. Conclusions: Electronic capture of adolescent risk behaviors is feasible in a busy clinic setting and well accepted among staff and clinicians. Most adolescents agreed for their responses to risk behavior screening to be stored in the EHR.

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.

Patient-Centered Outcomes Measurement: Does It Require Information From Patients?

PURPOSE: Since collecting outcome measure data from patients can be expensive, time-consuming, and subject to memory and nonresponse bias, we sought to learn whether outcomes important to patients can be obtained from data in the electronic health record (EHR) or health insurance claims. METHODS: We previously identified 21 outcomes rated important by patients who had advanced imaging tests for back or abdominal pain. Telephone surveys about experiencing those outcomes 1 year after their test from 321 people consenting to use of their medical record and claims data were compared with audits of the participants' EHR progress notes over the time period between the imaging test and survey completion. We also compared survey data with algorithmically extracted data from claims files for outcomes for which data might be available from that source. RESULTS: Of the 16 outcomes for which patients' survey responses were considered to be the best information source, only 2 outcomes for back pain and 3 for abdominal pain had kappa scores above a very modest level of ≥ 0.2 for chart audit of EHR data and none for algorithmically obtained EHR/claims data. Of the other 5 outcomes for which claims data were considered to be the best information source, only 2 outcomes from patient surveys and 3 outcomes from chart audits had kappa scores ≥ 0.2. CONCLUSIONS: For the types of outcomes studied here, medical record or claims data do not provide an adequate source of information except for a few outcomes where patient reports may be less accurate.

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 financial impact of team-based care on primary care.

OBJECTIVES: Although team-based care can improve coronary heart disease (CHD) risk factors and is considered cost-effective from a healthcare system perspective, little is known about the financial impact of team-based primary care for secondary prevention of CHD. The purpose of this study was to define the impact of team-based care for CHD on utilization, costs, and revenue of a private primary care practice. STUDY DESIGN: Interrupted time series analysis. METHODS: Between March 1, 2010, and March 31, 2013, we assisted a private medical practice, comprising 5 primary care clinic sites, to organize and deliver team-based care for patients with CHD. We used billing records and the registered nurse care manager's diary to calculate the cost of team-based care, differences in the average number of visits per patient, and revenue per patient before and after the implementation of team-based care. RESULTS: The net cost of team-based primary care was $291 per patient over the 1-year period of observation. CONCLUSIONS: The findings from this study are consistent with other economic analyses of team-based care and suggest that payment for care must be restructured if patients are expected to enjoy the benefits of team-based primary care.

New Summary Measures of Population Health and Well-Being for Implementation by Health Plans and Accountable Care Organizations.

Health plans and accountable care organizations measure many indicators of patient health, with standard metrics that track factors such as patient experience and cost. They lack, however, a summary measure of the third leg of the Triple Aim, population health. In response, HealthPartners has developed summary measures that align with the recommendations of the For the Public's Health series of reports from the Institute of Medicine. (The series comprises the following 3 reports: For the Public's Health: Investing in a Healthier Future, For the Public's Health: Revitalizing Law and Policy to Meet New Challenges, and For the Public's Health: The Role of Measurement in Action and Accountability.) The summary measures comprise 3 components: current health, sustainability of health, and well-being. The measure of current health is disability-adjusted life years (DALYs) calculated from health care claims and death records. The sustainability of health measure comprises member reporting of 6 behaviors associated with health plus a clinical preventive services index that indicates adherence to evidence-based preventive care guidelines. Life satisfaction represents the summary measure of subjective well-being. HealthPartners will use the summary measures to identify and address conditions and factors that have the greatest impact on the health and well-being of its patients, members, and community. The method could easily be implemented by other institutions and organizations in the United States, helping to address a persistent need in population health measurement for improvement.

Using Principles of Complex Adaptive Systems to Implement Secondary Prevention of Coronary Heart Disease in Primary Care.

CONTEXT: Primary care practice. OBJECTIVE: To test whether the principles of complex adaptive systems are applicable to implementation of team-based primary care. DESIGN: We used complex adaptive system principles to implement team-based care in a private, five-clinic primary care practice. We compared randomly selected samples of patients with coronary heart disease (CHD) and diabetes before system implementation (March 1, 2009, to February 28, 2010) and after system implementation (December 1, 2011, to March 31, 2013). MAIN OUTCOME MEASURES: Rates of patients meeting the composite goals for CHD (blood pressure < 140/90 mmHg, low-density lipoprotein cholesterol level < 100 mg/dL, tobacco-free, and using aspirin unless contraindicated) and diabetes (CHD goal plus hemoglobin A1c concentration < 8%) before and after the intervention. We also measured provider and patient satisfaction with preventive services. RESULTS: The proportion of patients with CHD who met the composite goal increased from 40.3% to 59.9% (p < 0.0001) because documented aspirin use increased (65.2%-97.5%, p < 0.0001) and attainment of the cholesterol goal increased (77.0%-83.9%, p = 0.0041). The proportion of diabetic patients meeting the composite goal rose from 24.5% to 45.4% (p < 0.0001) because aspirin use increased (58.6%-97.6%, p < 0.0001). Increased percentages of patients meeting the CHD and diabetes composite goals were not significantly different (p = 0.2319). Provider satisfaction with preventive services delivery increased significantly (p = 0.0017). Patient satisfaction improved but not significantly. CONCLUSION: Principles of complex adaptive systems can be used to implement team-based care systems for patients with CHD and possibly diabetic patients.

The Effect of Achieving Patient-Reported Outcome Measures on Satisfaction.

OBJECTIVE: To determine how frequently patients with advanced imaging for back or abdominal pain achieve outcomes that are identified by patients as important and whether those achieving those outcomes are more satisfied. METHODS: Cross-sectional analysis of survey responses from patients of an 800-physician multi-specialty group in Minnesota in 2013. A total of 201 patients with abdominal pain and 167 patients with back pain 1 year earlier that was serious enough for a computed tomography or magnetic resonance imaging scan (67% of those contacted). The main outcomes were the frequency of occurrence of 19 outcomes previously identified by patients as important, plus satisfaction with the results of care. RESULTS: The majority of patients surveyed had achieved most of the desired outcomes. For abdominal pain, 17 of 19 of the desired outcomes were achieved by >50% of patients, while 11 of 19 desired outcomes were achieved by >50% of patients with back pain. Seven of the desired outcomes were significantly associated with satisfaction. CONCLUSION: Achieving outcomes important to patients is associated with greater patient satisfaction. Such measures are potentially valuable measures of quality.

A qualitative study of processes used to implement evidence-based care in a primary care practice.

BACKGROUND: Evidence-based guidelines for care of coronary heart disease patients are not fully implemented. Primary care practices provide most of the care for these patients. OBJECTIVE: To learn how providers and staff in a busy primary care practice implement interventions to provide evidence-based care of coronary heart disease patients. METHODS: We conducted a qualitative analysis of the responses to open-ended questions in nine electronically administered bimonthly surveys of key physicians, clinic staff and managers in the practice. RESULTS: Ten to 16 (mean=12.3) personnel responded to each survey. Nearly 30% were physicians and 40.5% were clinic staff. Four major themes emerged from the qualitative analysis: (i) giving data about not-at-goal patients to providers for care plan development; (ii) developing team roles and defining tasks; (iii) providing patient care and implementing care plans and (iv) providing technology support to generate useful, accurate data. The frequency that the subthemes were mentioned varied from survey to survey, but their mention persisted over the entire time of all nine surveys. CONCLUSIONS: Developing a system for implementing evidence-based care involves considerations of roles and teamwork, technology use to develop a patient registry and obtain needed clinical data, care processes for pre-visit planning, and between-visit care management. A registered nurse care manager is a central figure in implementing and sustaining the process. Implementing evidence-based guidelines is an ongoing process of revision, retraining and reinforcement.

Minnesota's Early Experience with Medical Home Implementation: Viewpoints from the Front Lines.

BACKGROUND: Evidence is evolving about the impact of patient-centered medical homes (PCMHs) on important outcomes in primary care. Minnesota has developed its own PCMH certification process, envisioned as an all-payer initiative with an emphasis on patient-centeredness, which may add unique experiences and outcomes to the national discussion. OBJECTIVE: We aimed to identify the facilitators and barriers encountered by nine diverse primary care practices selected from the first 80 to achieve PCMH certification in Minnesota. DESIGN: This was a qualitative analysis of semi-structured, in-person interviews. PARTICIPANTS: Thirty-one administrative and clinical leaders, including clinic managers, physician champions, medical directors, nursing supervisors, and care coordinators participated in the study. KEY RESULTS: Six factors emerged as most important to the efforts to become PMCHs: leadership support, organizational culture, finances, quality improvement (QI) experience, information technology (IT) resources, and patient involvement. Facilitators included committed leadership at local and higher levels, prior experience and ongoing support for QI initiatives, and adequate financial and IT resources. Reimbursement was a significant barrier due to perceived inadequacy and inconsistent participation by health plans. The unsuitability of electronic medical records (EMRs) to PCMH documentation requirements likewise presented ongoing challenges. Many interviewees described patient input as helpful to their clinics' PCMH-related changes and were enthusiastic about their "patient partners." The majority of interviewees felt that becoming a PCMH was right for patients and was personally worthwhile, even while acknowledging the tremendous effort involved and voicing skepticism about reimbursement over the short term. CONCLUSIONS: The experience of participants in Minnesota's state-wide initiative to legislate PCMH transformation provides a broad view of facilitators and barriers. Unique facilitators included a requirement for patient involvement, which pushed practices to create patient-centered innovations, and new reimbursement models based on quality indicators for a population. Among barriers were the costs to practices and patients, and EMRs that failed to accommodate PCMH requirements.

Organizational factors and change strategies associated with medical home transformation.

There is limited information about how to transform primary care practices into medical homes. The research team surveyed leaders of the first 132 primary care practices in Minnesota to achieve medical home certification. These surveys measured priority for transformation, the presence of medical home practice systems, and the presence of various organizational factors and change strategies. Survey response rates were 98% for the Change Process Capability Questionnaire survey and 92% for the Physician Practice Connections survey. They showed that 80% to 100% of these certified clinics had 15 of the 18 organizational factors important for improving care processes and that 60% to 90% had successfully used 16 improvement strategies. Higher priority for this change (P = .001) and use of more strategies (P = .05) were predictive of greater change in systems. Clinics contemplating medical home transformation should consider the factors and strategies identified here and should be sure that such a change is indeed a high priority for them.

Challenges of medical home transformation reported by 118 patient-centered medical home (PCMH) leaders.

BACKGROUND: Little is known about the most important organizational factors and strategies for transforming primary care clinics into patient-centered medical homes (PCMHs), so we studied this in newly certified medical homes in Minnesota. METHODS: We collected the following information from the first 120 clinics serving adults to be certified: (1) a 105-item survey about the presence and function of practice systems now and 3 years ago; (2) standardized composite clinic performance measures for diabetes and cardiovascular disease; and (3) a 44-item survey about PCMH transformation derived from 31 qualitative interviews about barriers, facilitators, and change strategies with participants from 9 diverse clinics. RESULTS: The response rates for the systems survey was 92.5% and was 98.3% for the survey about transformation. Nearly all the items from the qualitative interviews identified as potentially important for transformation were strongly endorsed. Eighteen items in this survey also correlated significantly (P = <.01) with change in practice systems at the level of r ≥ 0.20. However, there was little relationship between these items and either absolute levels of systems or performance on composite measures of diabetes or vascular disease quality outcomes. CONCLUSIONS: Many items in the survey about transformation seem to have face validity for leaders of certified PCMHs and to be associated with the extent to which their clinics have made systems changes. While clinics may need to find their own unique path to transformation, the items identified here should be considered in those decisions.

Medical home transformation: a gradual process and a continuum of attainment.

PURPOSE: The patient-centered medical home is often discussed as though there exist either traditional practices or medical homes, with marked differences between them. We analyzed data from an evaluation of certified medical homes in Minnesota to study this topic. METHODS: We obtained publicly reported composite measures for quality of care outcomes pertaining to diabetes and vascular disease for all clinics in Minnesota from 2008 to 2010. The extent of and change in practice systems over that same time period for the first 120 clinics serving adults certified as health care homes (HCHs) was measured by the Physician Practice Connections Research Survey (PPC-RS), a self-report tool similar to the National Committee for Quality Assurance standards for patient-centered medical homes. Measures were compared between these clinics and 518 non-HCH clinics in the state. RESULTS: Among the 102 clinics for which we had precertification and postcertification scores for both the PPC-RS and either diabetes or vascular disease measures, the mean increase in systems score over 3 years was an absolute 29.1% (SD = 16.7%) from a baseline score of 38.8% (SD = 16.5%, P ≤.001). The proportion of clinics in which all patients had optimal diabetes measures improved by an absolute 2.1% (SD = 5.5%, P ≤.001) and the proportion in which all had optimal cardiovascular disease measures by 4.4% (SD = 7.5%, P ≤.001), but all measures varied widely among clinics. Mean performance rates of HCH clinics were higher than those of non-HCH clinics, but there was extensive overlap, and neither group changed much over this time period. CONCLUSIONS: The extensive variation among HCH clinics, their overlap with non-HCH clinics, and the small change in performance over time suggest that medical homes are not similar, that change in outcomes is slow, and that there is a continuum of transformation.

The effect of price reduction on salad bar purchases at a corporate cafeteria.

The objective of this study was to determine the effect of a price reduction on salad bar purchases in a corporate cafeteria. We reduced the price of salad bar purchases by 50% during March 2012 and analyzed sales data by month for February through June 2012. We also conducted an anonymous survey. Salad bar sales by weight more than tripled during the price reduction and returned to baseline afterward. Survey respondents reported that the high price of salad relative to other choices is a barrier to purchases. Policies that make the price of salads equal to other choices in cafeterias may significantly increase healthful food consumption.