Building Statewide Quality Improvement Capacity to Improve Cardiovascular Care and Health Equity: Lessons from the Tennessee Heart Health Network.

DRIVING FORCES: Many states with high rates of cardiovascular disease (CVD) lack statewide quality improvement (QI) infrastructure (for example, resources, leadership, community) to address relevant health needs of the population. Academic health centers are well positioned to play a central role in addressing this deficiency. This article describes early experience and lessons learned in building statewide QI infrastructure through the Tennessee Heart Health Network (Network). APPROACH: A statewide, multistakeholder network composed of primary care practices (PCPs), health systems, health plans, QI organizations, patients, and academic institutions was led by the University of Tennessee Health Science Center (UTHSC), an academic health center, to improve cardiovascular health by supporting dissemination and implementation of patient-centered outcomes research (PCOR) evidence-based interventions in primary care. PCPs were required to select and implement at least one of three interventions (health coaching, tailored health-related text messaging, and pharmacist-physician collaboration). OUTCOMES AND KEY INSIGHTS: Thirty statewide organizational partners joined the Network in year one, including 18 health systems representing 77 PCPs (30.0% of 257 potentially eligible PCPs identified) with approximately 300,000 patients. The organizational partners share EHRs for the ongoing tracking and reporting of key health metrics, including hypertension control and delivery of tobacco cessation counseling. Of the 77 PCPs, 62 continue participation after year two (80.5% retention). Main barriers to participation and reasons for discontinuing participation included reluctance to share data and changes in leadership at the health system level. These 62 PCPs selected the following interventions to implement: health coaching (41.9%), tailored health-related text messages (48.4%), and pharmacist-physician collaboration (40.3%). CONCLUSION AND WHAT'S NEXT: Academic health centers have broad reach and high acceptability by diverse stakeholders. Tennessee's experience illustrates how academic health centers can serve as platforms for building a statewide infrastructure for disseminating, implementing, and sustaining QI interventions at the practice level. Assessment of Network impact is ongoing.

Energy cost of walking in obese survivors of acute lymphoblastic leukemia: A report from the St. Jude Lifetime Cohort.

Purpose: Adult survivors of childhood acute lymphoblastic leukemia (ALL) have impaired adaptive physical function and poor health-related quality of life (HRQoL). Obesity may contribute to these impairments by increasing the physiological cost of walking. Due to treatment exposures during ALL therapy, survivors' cost of walking may be more impacted by obesity than the general population. Therefore, we examined associations between obesity, persistent motor neuropathy, and energy cost of walking; and examined associations between energy cost of walking, adaptive physical function, and HRQoL, in adult survivors of childhood ALL vs. community controls. Methods: Obesity was measured via body mass index (BMI) and body fat percentage. The physiological cost index (PCI) was calculated from the six-minute walk test. Adaptive physical functioning was measured using two tests: the timed up and go (TUG) test and the physical performance test. Persistent motor neuropathy was measured using the modified total neuropathy score; HRQoL was measured using the Short-Form-36 questionnaire. The associations between obesity and PCI were evaluated using multivariable linear regressions in adult survivors of childhood ALL (n = 1,166) and community controls (n = 491). Then, the associations between PCI, adaptive physical functioning and peripheral neuropathy were examined using multivariable linear regressions. Finally, to determine the association between obesity, and neuropathy on PCI, while accounting for potential lifestyle and treatment confounders, a three model, sequential linear regression was used. Results: Obese individuals (BMI > 40 kg/m2 and excess body fat percentage [males: >25%; females: >33%]) had higher PCI compared to those with normal BMI and body fat percentage (0.56 ± 0.01 vs. 0.49 ± 0.009 beats/meter p < .01; and 0.51 ± 0.007 vs. 0.48 ± .0006 beats/meter p < .01, respectively). Treatment exposures did not attenuate this association. Increased PCI was associated with longer TUG time in survivors, but not community controls (6.14 ± 0.02 s vs. 5.19 ± 0.03 s, p < .01). Survivors with PCI impairment >95th percentile of community controls had lower HRQoL compared to un-impaired ALL survivors: 46.9 ± 0.56 vs. 50.4 ± 1.08, respectively (p < .01). Conclusion: Obesity was associated with increased PCI. Survivors with high PCI had disproportionately worse adaptive physical function and HRQoL compared to controls. Survivors with increased energy costs of walking may benefit from weight loss interventions.

Impact of self-assessed health status and physical and functional limitations on healthcare utilization and mortality among older cancer survivors in US.

PURPOSE: The purpose of this study was to examine the impact of physical limitations, functional limitations and self-assessed health status on mortality and healthcare utilization among older cancer survivors. METHODS: National Medicare Current Beneficiary Survey (MCBS) cost and use data from 2008 to 2013 were used for analysis. Physical limitations, Activities of Daily Living (ADL), and Instrumental Activities of Daily Living (IADL) were assessed on multiple questions, and self-assessed health was measured on a five-point scale (1-5: Excellent-Poor). Multivariable logistic regression and Poisson regression models were used for hospitalization, re-hospitalization and mortality rates based on three follow up years. RESULTS: This study included 17,715 cancer patients with a mean age of 75 years and 57% females. Cancer survivors with poor self-assessed health had a higher rate of hospitalizations (adjusted Odds Ratio: aOR: 1.60, 95% Confidence Interval: CI: 1.47-1.72, p < 0.001) relative to non-cancer participants. Compared to participants with no history of cancer, cancer survivors with IADL (aOR: 1.41, 95% CI: 1.25-1.58, p < 0.001) or with poor self-assessed health (aOR: 1.39, 95% CI: 1.21-1.60, p < 0.001) were more likely to have a higher number of hospital readmissions within 30 days of a prior hospitalization. Three-year mortality rate was significantly higher among cancer survivors with poor self-assessed health (Hazard Ratio: 2.81, 95% CI: 2.81-2.82, p < 0.001). CONCLUSION: Self-assessed health and physical and functional limitations significantly and independently impact healthcare utilization and mortality among older cancer survivors. Healthcare providers should incorporate formal assessments of both self-assessed health and functional status among older cancer survivors in their clinical practice. IMPLICATION FOR CANCER SURVIVORS: Self-reported health status is a valuable and independent predictor of healthcare utilization and mortality among cancer survivors.

Factors associated with residential mobility during pregnancy.

Our objective was to determine the factors associated with residential moving during pregnancy, as it may increase stress during pregnancy and affect birth outcomes. Data were obtained from the Conditions Affecting Neurocognitive Development and Learning in Early Childhood (CANDLE) study. Participants were recruited from December 2006 to June 2011 and included 1,448 pregnant women. The average gestational age at enrollment was 23 weeks. The primary outcome of residential mobility was defined as any change in address during pregnancy. Multivariate regression was used to assess the adjusted associations of factors with residential mobility. Out of 1,448 participants, approximately 9 percent moved between baseline (enrollment) and delivery. After adjusting for covariates, mothers with lower educational attainment [less than high school (adjusted odds ratio [aOR] = 3.74, 95% confidence interval [CI] = 1.78, 7.85) and high school/technical school (aOR = 3.57, 95% CI = 2.01, 6.32) compared to college degree or higher], and shorter length of residence in neighborhood were more likely to have moved compared to other mothers. Length of residence was protective of mobility (aOR = 0.91, 95% CI = 0.86, 0.96 per year). Increased understanding of residential mobility during pregnancy may help improve the health of mothers and their children.

Lessons Learned in a Breastfeeding Media Campaign.

Breastfeeding is well accepted as the optimal nutrition for babies. The American Academy of Pediatrics states that infant feeding should no longer be thought of as a lifestyle choice, but rather as a public health issue. In Shelby County, Tennessee, rates of breastfeeding continue to be disparately low. To address this public health problem, a focus group study was conducted with the Shelby County population least likely to breastfeed. Following participants' suggestion to use a billboard campaign with pictures of local mothers and families, one highway billboard and ten bus stop signs were placed around the city in areas of the lowest breastfeeding rates. Self-administered surveys were completed by convenience sampling in target population areas with women least likely to breastfeed, both before placing the signs and 6 months later. No significant differences were noted in knowledge, attitudes, or practices after the media campaign, but trends toward increased intention to breastfeed were noted among expectant mothers. With collapsed data (pre and post), a majority of participants believed that breastfeeding is the best way to feed a baby and they were significantly more likely to plan to breastfeed if they knew about health benefits to the baby and to themselves. If they had heard about breastfeeding on the TV or radio, they were more likely to believe breastfeeding is important for long-term health. These findings suggest that a media campaign could have a complementary role in promoting breastfeeding among women with low initiation rates.

Forecasting future prevalence of type 2 diabetes mellitus in Syria.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is increasingly becoming a major public health problem worldwide. Estimating the future burden of diabetes is instrumental to guide the public health response to the epidemic. This study aims to project the prevalence of T2DM among adults in Syria over the period 2003-2022 by applying a modelling approach to the country's own data. METHODS: Future prevalence of T2DM in Syria was estimated among adults aged 25 years and older for the period 2003-2022 using the IMPACT Diabetes Model (a discrete-state Markov model). RESULTS: According to our model, the prevalence of T2DM in Syria is projected to double in the period between 2003 and 2022 (from 10% to 21%). The projected increase in T2DM prevalence is higher in men (148%) than in women (93%). The increase in prevalence of T2DM is expected to be most marked in people younger than 55 years especially the 25-34 years age group. CONCLUSIONS: The future projections of T2DM in Syria put it amongst countries with the highest levels of T2DM worldwide. It is estimated that by 2022 approximately a fifth of the Syrian population aged 25 years and older will have T2DM.

Socio-demographic correlates of psychiatric morbidity among low-income women in Aleppo, Syria.

Interest in mental morbidity as an important component of health is increasing worldwide. Women generally suffer more than men from common mental disorders, and discrimination against women adds to their mental sufferings. Studies looking into the socio-demographic correlates of women's mental morbidity are lacking in most Arab countries. In this study we wanted to determine the spread and socio-demographic correlates of mental distress among low-income women in Aleppo, Syria. A sample of 412 women was recruited from 8 randomly selected primary care centers in Aleppo. Response rate was 97.2%, mean age of participants 28 + 8.4 years, where married women constituted 87.9%. A special questionnaire was prepared for the study purpose, utilizing the SRQ-20 non-psychotic items and questions about background information considered relevant to the mental health of women in the studied population. Interviews were conducted in an anonymous one-to-one fashion. The prevalence of psychiatric distress in our sample was 55.6%. Predictors of women's mental health in the logistic regression analysis were; physical abuse, women's education, polygamy, residence, age and age of marriage. Among these predictors, women's illiteracy, polygamy and physical abuse were the strongest determinants of mental distress leading to the worse outcomes. Our data show that mental distress is common in the studied population and that it is strongly associated with few, possibly modifiable, factors.