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Background: Patient complexity is often operationalized by counting multiple chronic conditions (MCC) without considering contextual factors that can affect patient risk for adverse outcomes.Objective: Our objective was to develop a conceptual model of complexity addressing gaps identified in a review of published conceptual models.Data Sources: We searched for English-language MEDLINE papers published between 1 January 2004 and 16 January 2014. Two reviewers independently evaluated abstracts and all authors contributed to the development of the conceptual model in an iterative process.Results: From 1606 identified abstracts, six conceptual models were selected. One additional model was identified through reference review. Each model had strengths, but several constructs were not fully considered: 1) contextual factors; 2) dynamics of complexity; 3) patients' preferences; 4) acute health shocks; and 5) resilience. Our Cycle of Complexity model illustrates relationships between acute shocks and medical events, healthcare access and utilization, workload and capacity, and patient preferences in the context of interpersonal, organizational, and community factors.Conclusions/implications: This model may inform studies on the etiology of and changes in complexity, the relationship between complexity and patient outcomes, and intervention development to improve modifiable elements of complex patients. [ABSTRACT FROM AUTHOR]

Background: Health risk assessments (HRAs) and healthy behavior incentives are increasingly used by state Medicaid programs to promote enrollees' health.Objective: To evaluate enrollee experiences with HRAs and healthy behavior engagement in the Healthy Michigan Plan (HMP), a state Medicaid expansion program.Design: Telephone survey conducted in Michigan January-October 2016.Participants: A random sample of HMP enrollees aged 19-64 with ≥ 12 months of enrollment, stratified by income and geographic region.Main Measures: Self-reported completion of an HRA, reasons for completing an HRA, commitment to a healthy behavior, and choice of healthy behavior.Key Results: Among respondents (N = 4090), 49.3% (95% CI 47.3-51.2%) reported completing an HRA; among those with a primary care provider (PCP) (n = 3851), 85.2% (95% CI 83.5-86.7%) reported visiting their PCP during the last 12 months. Most enrollees having a recent PCP visit reported discussing healthy behaviors with them (91.1%, 95% CI 89.6-92.3%) and were more likely to have completed an HRA than enrollees without a recent PCP visit (52.7%, 95% CI 50.5-52.8% vs. 36.2%, 95% CI 31.7-41.1%; p < 0.01). Among enrollees completing an HRA, nearly half said they did it because their PCP suggested it (45.9%, 95% CI 43.2-48.7%), and most reported it helped their PCP understand their health needs (89.7%). Awareness of financial incentives was limited (28.1%, 95% CI 26.3-30.0%), and very few reported it as the primary reason for HRA completion (2.5%, 95% CI 1.8-3.4%). Most committed to a healthy behavior (80.7%, 95% CI 78.5-82.8%), and common behaviors chosen were nutrition/diet (57.2%, 95% CI 54.2-60.2%) and exercise/activity (52.6%, 95% CI 49.5-55.7%).Conclusions: In the Healthy Michigan Plan, PCPs appeared influential in enrollees' completion of HRAs and healthy behavior engagement, while knowledge of financial incentives was limited. Additional study is needed to understand the relative importance of financial incentives and PCP engagement in impacting healthy behaviors in state Medicaid programs. [ABSTRACT FROM AUTHOR]

Background: Uninsurance for young adults (YAs) was greatly reduced by the Affordable Care Act (ACA). However, reforms may not be equally beneficial for all YAs and certain policies may exacerbate, rather than resolve, pre-existing disparities.Objective: To investigate inequalities in YAs' insurance coverage pre- (2000-2010) and post-federal health reforms (dependent coverage expansion, 2010-2013, and Medicaid/Marketplace expansions, 2014-2016), among a nationally representative sample.Design: A difference-in-differences estimator (controlling for sociodemographics) was used to determine the effects of the ACA for young adults (ages 19-25) compared to adolescents (ages 13-18) and older YA (ages 26-30) counterparts; triple-difference estimators quantified differential policy effects by sociodemographics.Participants: Three hundred eighty-seven thousand six hundred thirty-five participants in the 2000-2016 National Health Interview Survey.Main Measures: Respondents reported their health insurance coverage types during the last 12 months, reasons uninsured, and detailed sociodemographics.Key Results: An adjusted difference-in-differences estimator quantified a 12.3 percentage point increase (p < 0.0001) in full-year coverage post-ACA for YAs compared to older counterparts, driven by increases in employer-sponsored private insurance while younger and older youth saw larger gains in Medicaid coverage. Triple-difference estimators identified subgroups experiencing less beneficial dependent coverage expansion effects, including females, lower socioeconomic status, non-citizens, non-English speakers, and several racial/ethnic minority groups. Later ACA reforms (Marketplace/Medicaid expansions) mitigated many of these widening disparities.Conclusion: While the ACA significantly impacted YA insurance coverage, these gains were not of equal magnitude for all YAs and disparities remain. As such, more work needs to be done to ensure optimal and equitable access to high-quality, affordable insurance for all YAs. [ABSTRACT FROM AUTHOR]

Background: The healthcare system is ill-equipped to meet the needs of adults on the autism spectrum.Objective: Our goal was to use a community-based participatory research (CBPR) approach to develop and evaluate tools to facilitate the primary healthcare of autistic adults.Design: Toolkit development included cognitive interviewing and test-retest reliability studies. Evaluation consisted of a mixed-methods, single-arm pre/post-intervention comparison.Participants: A total of 259 autistic adults and 51 primary care providers (PCPs) residing in the United States.Interventions: The AASPIRE Healthcare toolkit includes the Autism Healthcare Accommodations Tool (AHAT)-a tool that allows patients to create a personalized accommodations report for their PCP-and general healthcare- and autism-related information, worksheets, checklists, and resources for patients and healthcare providers.Main Measures: Satisfaction with patient-provider communication, healthcare self-efficacy, barriers to healthcare, and satisfaction with the toolkit's usability and utility; responses to open-ended questions.Key Results: Preliminary testing of the AHAT demonstrated strong content validity and adequate test-retest stability. Almost all patient participants (>94 %) felt that the AHAT and the toolkit were easy to use, important, and useful. In pre/post-intervention comparisons, the mean number of barriers decreased (from 4.07 to 2.82, p < 0.0001), healthcare self-efficacy increased (from 37.9 to 39.4, p = 0.02), and satisfaction with PCP communication improved (from 30.9 to 32.6, p = 0.03). Patients stated that the toolkit helped clarify their needs, enabled them to self-advocate and prepare for visits more effectively, and positively influenced provider behavior. Most of the PCPs surveyed read the AHAT (97 %), rated it as moderately or very useful (82 %), and would recommend it to other patients (87 %).Conclusions: The CBPR process resulted in a reliable healthcare accommodation tool and a highly accessible healthcare toolkit. Patients and providers indicated that the tools positively impacted healthcare interactions. The toolkit has the potential to reduce barriers to healthcare and improve healthcare self-efficacy and patient-provider communication. [ABSTRACT FROM AUTHOR]

Background: Hypertension, the leading global risk factor for mortality, is characterized by low treatment and control rates in low- and middle-income countries. Poor linkage to hypertension care contributes to poor outcomes for patients. However, specific factors influencing linkage to hypertension care are not well known.Objective: To evaluate factors influencing linkage to hypertension care in rural western Kenya.Design: Qualitative research study using a modified Health Belief Model that incorporates the impact of emotional and environmental factors on behavior.Participants: Mabaraza (traditional community assembly) participants (n = 242) responded to an open invitation to residents in their respective communities. Focus groups, formed by purposive sampling, consisted of hypertensive individuals, at-large community members, and community health workers (n = 169).Approach: We performed content analysis of the transcripts with NVivo 10 software, using both deductive and inductive codes. We used a two-round Delphi method to rank the barriers identified in the content analysis. We selected factors using triangulation of frequency of codes and themes from the transcripts, in addition to the results of the Delphi exercise. Sociodemographic characteristics of participants were summarized using descriptive statistics.Key Results: We identified 27 barriers to linkage to hypertension care, grouped into individual (cognitive and emotional) and environmental factors. Cognitive factors included the asymptomatic nature of hypertension and limited information. Emotional factors included fear of being a burden to the family and fear of being screened for stigmatized diseases such as HIV. Environmental factors were divided into physical (e.g. distance), socioeconomic (e.g. poverty), and health system factors (e.g. popularity of alternative therapies). The Delphi results were generally consistent with the findings from the content analysis.Conclusions: Individual and environmental factors are barriers to linkage to hypertension care in rural western Kenya. Our analysis provides new insights and methodological approaches that may be relevant to other low-resource settings worldwide. [ABSTRACT FROM AUTHOR]