Mobile health-delivered narrative intervention to increase cervical cancer screening among Malawian women living with HIV: A pilot randomized controlled trial.

Objective: This study aimed to develop and evaluate a mobile health (mHealth)-delivered, theory-guided, culturally tailored storytelling narrative (STN) intervention to increase cervical cancer screening among Malawian women living with human immunodeficiency virus (HIV). Methods: This study involved two phases: Phase 1: development of a theory-guided and culturally adapted STN intervention and Phase 2: a pilot randomized controlled trial was conducted. Participants were randomly assigned to one of three arms: Arm 1: tablet-based video (mHealth) with STN (n = 60); Arm 2: mHealth with a video of nonnarrative educational materials (n = 59); and Arm 3: control group with only reading nonnarrative educational materials in person (n = 60). Cervical cancer screening was measured using visual inspection with acetic acid (VIA) uptakes by self-report and health passport record review at 2 and 6 months after intervention. Results: Both arms 1 and 2 had nearly twice the rate of VIA uptakes than those in Arm 3 (51.0% and 50.0%, respectively, vs. 35.0%, P = 0.01) at 2 months follow-up, but there were no differences among groups from 2- to 6-month follow-ups. All groups demonstrated significant improvement of knowledge about risk factors, intention, and VIA uptakes. Conclusions: The findings demonstrate the preliminary effectiveness of the intervention on cervical cancer screening behavior and the feasibility of the study regarding recruitment, retention, treatment fidelity, and acceptability of the single 30-min session. The feasibility and the preliminary results of the effectiveness of the proposed study indicate scaling up the STN intervention to a larger population of women to increase cervical cancer screening uptake to prevent deaths due to cervical cancer in Malawi.

Association of Parental Cardiovascular Health With Disability-Adjusted Life Years in the Offspring: Results From the Framingham Heart Study.

BACKGROUND: Disability-adjusted life years (DALYs) are used to evaluate the relative burden of diseases in populations to help set prevention or treatment priorities. The impact of parental cardiovascular health (CVH) on healthy life years lost from cardiovascular disease (CVD) in adult offspring is unknown. We compared parent-offspring CVD DALYs trends over the life course and examined the association of parental CVH with offspring CVD DALYs. METHODS: Using data from the Framingham Heart Study, 4814 offspring-mother-father trios were matched for age at selected baseline exams. CVH score was computed from the number of CVH metrics attained at recommended levels: poor (0-2), intermediate (3-4), and ideal (5-7). CVD DALYs were defined as the sum of years of life lost and years lived with CVD. Age-sex-standardized life expectancy and disability weights were derived from the actuarial life tables and Global Burden of Disease study, respectively. Multivariable-adjusted linear regression was used to investigate the association of parental CVH with offspring CVD DALYs. RESULTS: Over an equal 47-year follow-up, parents lost nearly twice the number of CVD DALYs compared to their offspring (23 234 versus 12 217). However, age-adjusted CVD DALYs were higher at younger ages and similar along the life course for parents and offspring. One-unit increase in parental CVH was associated with 5 healthy life months saved in offspring. Offspring of mothers with ideal versus poor CVH had 3 healthy life years saved (ß=-3.0 DALYs [95% CI, -5.6 to -0.3]). No statistically significant association was found between paternal CVH categories and offspring CVD DALYs. CONCLUSIONS: Higher maternal and paternal CVH were associated with increased healthy life years in offspring; however, the association was strongest between mothers and offspring. Investment in CVH promotion along the life course has the potential to reduce the burden of CVD in the current and future generation of adults.

Partnering to Build Human Resources for Health Capacity in Africa: A Descriptive Review of the Global Health Service Partnership's Innovative Model for Health Professional Education and Training From 2013-2018.

Several Sustainable Development Goals (SDGs) (3, 16, 17) point to the need to systematically address massive shortages of human resources for health (HRH), build capacity and leverage partnerships to reduce the burden of global illness. Addressing these complex needs remain challenging, as simple increases in absolute numbers of healthcare providers trained is insufficient; substantial investment into long-term high-quality training programs is needed, as are incentives to retain qualified professionals within local systems of care delivery. We describe a novel HRH initiative, the Global Health Service Partnership (GHSP), involving collaboration between the US government (President's Emergency Plan for AIDS Relief [PEPFAR], Peace Corps), 5 African countries, and a US-based non-profit, Seed Global Health. GHSP was formed to enlist US health professionals to assist in strengthening teaching and training capacity and focused on pre-and in-service medical and nursing education in Malawi, Tanzania, Uganda, Eswatini and Liberia. From 2013-2018, GHSP sent 186 US health professionals to 27 institutions in 5 countries, helping to train 16 280 unique trainees of all levels. Qualitative impacts included cultivating a supportive classroom learning environment, providing a pedagogical bridge to clinical service, and fostering a supportive clinical learning and practice environment through role modeling, mentorship and personalized learning at the bedside. GHSP represented a novel, multilateral, public-private collaboration to help address HRH needs in Africa. It offers a plausible, structured template for engagement and partnership in the field.

Parental cardiovascular health predicts time to onset of cardiovascular disease in offspring.

BACKGROUND: Cardiovascular disease (CVD) risk factors are transmitted from parents to children. We prospectively examined the association between parental cardiovascular health (CVH) and time to onset of CVD in the offspring. METHODS AND RESULTS: The study consisted of a total of 5967 offspring-mother-father trios derived from the Framingham Heart Study. Cardiovascular health score was defined using the seven American Heart Association's CVH metrics attained at ideal levels: poor (0-2), intermediate (3-4), and ideal CVH (5-7). Multivariable-adjusted Cox proportional hazards regression models, Kaplan-Meier plots, and Irwin's restricted mean were used to examine the association and sex-specific differences between parental CVH and offspring's CVD-free survival. In a total of 71 974 person-years of follow-up among the offspring, 718 incident CVD events occurred. The overall CVD incidence rate was 10 per 1000 person-years [95% confidence interval (CI) 9.3-10.7]. Offspring of mothers with ideal CVH lived 9 more years free of CVD than offspring of mothers with poor CVH (P < 0.001). Maternal poor CVH was associated with twice as high hazard of early onset of CVD compared with maternal ideal CVH (adjusted Hazard Ratio 2.09, 95% CI 1.50-2.92). No statistically significant association was observed in the hazards of CVD-free survival by paternal CVH categories. CONCLUSIONS: We found that offspring of parents with ideal CVH had a greater CVD-free survival. Maternal CVH was a more robust predictor of offspring's CVD-free survival than paternal CVH, underscoring the need for clinical and policy interventions that involve mothers to break the intergenerational cycle of CVD-related morbidity and mortality.

Temporal Trends and Familial Clustering of Ideal Cardiovascular Health in Parents and Offspring Over the Life Course: An Investigation Using The Framingham Heart Study.

Background Evidence suggests familial aggregation and intergenerational associations for individual cardiovascular health (CVH) metrics. Over a 53-year life course, we examined trends and association of CVH between parents and their offspring at similar mean ages. Methods and Results We conducted a series of cross-sectional analyses of the FHS (Framingham Heart Study). Parent-offspring pairs were assessed at exams where their mean age distributions were similar. Ideal CVH was defined using 5 CVH metrics: blood pressure (<120/<80 mm Hg), fasting blood glucose (<100 mg/dL), blood cholesterol (<200 mg/dL), body mass index (<25 kg/m2), and non-smoking. Joinpoint regression and Chi-squared test were used to assess linear trend; proportional-odds regression was used to examine the association between parents and offspring CVH. A total of 2637 parents were paired with 3119 biological offspring throughout 6 exam cycles. Similar patterns of declining ideal CVH with advancing age were observed in parents and offspring. Small proportions of parents (4%) and offspring (17%) achieved 5 CVH metrics at ideal levels (P-trend <0.001). Offspring of parents with poor CVH had more than twice the odds of having poor CVH (pooled odds ratio, 2.59; 95% CI, 1.98-3.40). Over time, elevated glucose levels and obesity doubled among the offspring and were the main drivers for declining ideal CVH trends. Conclusions Parental CVH was positively associated with offspring CVH. However, intergenerational CVH gains from declining smoking rates, cholesterol, and blood pressure were offset by rising offspring obesity and elevated glucose levels. This suggests an intergenerational phenotypic shift of risk factors and the need for a family-centered approach to cardiovascular care.

Developing and Implementing the Family Nurse Practitioner Role in Eswatini: Implications for Education, Practice, and Policy.

Introduction: Eswatini, a small, largely rural country in Southern Africa, has a high burden of morbidity/mortality in the setting of a critical shortage of human resources for health. To help achieve universal access to healthcare across the lifespan, the advanced practice family nurse practitioner (FNP) role was proposed and is in the process of being implemented. Methods/Approach: The PEPPA framework (Participatory, Evidence-based, Patient focused Process for Advanced practice nursing) illustrates the steps in the process of developing and implementing the FNP role in a country. These steps include: determining the need for the role, deciding on a model of care, developing/implementing the curriculum, relevant policies, and scope of practice (SOP), and integrating the role into relevant nursing regulations and Ministry of Health (MOH) guidelines and documents. Outcomes: The assessment has been completed, a locally tailored competency-based FNP curriculum has been developed, revised, and implemented, the FNP SOP has been approved and MOH guidelines are being updated to reflect current evidence-based practice and to integrate the FNP role. Continuous cycles of improvement/revision were needed to adapt the curriculum and SOP to meet local needs. Clinical placements were challenging since this is a new health cadre, but most challenges were overcome and many resulted in important opportunities for interdisciplinary collaboration. Summary: Outcomes from this quality improvement initiative demonstrate that it is feasible to develop and implement a locally responsive, competency-based FNP program in a low resource setting and enroll students, despite time and financial constraints. Adapting the curriculum and SOP from western countries can provide a foundation for program development but revision to assure that the program is responsive to local context is then needed. There is general acceptance of the role among Eswatini communities and professional stakeholders with emphasis on the need for FNP graduates to be clinically competent and able to function independently. Policy work related to deploying new graduates is ongoing.

Through the Lens of Postcolonial Theory: Establishing Global North-South Partnerships.

AIM: This study used postcolonial theory as a critical lens to examine the factors that supported or hindered equitable partnership formation within an innovative international service-learning (ISL) program in nursing education. BACKGROUND: As ISL programs proliferate, ethical concerns have arisen as minimal attention has been given to both the host and visiting partners' experience and perceptions and how these impact partnership development and outcomes. METHOD: A hybrid intrinsic, instrumental, single embedded case study design, including observations, interviews (n = 70), and document analysis, was used to analyze in depth varied partnerships within a US-Kenyan ISL program. RESULTS: Central themes of dispelling assumptions, making connections, revealing privilege, and sharing power emerged and formed a theoretical model, Establishing and Strengthening Partnerships. CONCLUSION: Attention needs to be given to preconceived assumptions, imbalances in privilege, and issues surrounding power and decision-making for equitable, impactful, partnership development. Leadership philosophy, style, and approach make a difference.

Validity of hemoglobin A1c for diagnosing diabetes among people with and without HIV in Uganda.

Sub-Saharan Africa (SSA) is facing a growing co-epidemic of chronic HIV infection and diabetes. Hemoglobin A1c (A1c) may underestimate glycemia among people living with HIV (PLWH). We estimated the validity of A1c to diagnose diabetes among PLWH and HIV-uninfected persons in rural Uganda. Data were derived from a cohort of PLWH and age- and gender-matched HIV-uninfected comparators. We compared A1c to fasting blood glucose (FBG) using Pearson correlations, regression models, and estimated the sensitivity and specificity of A1c for detecting diabetes with FBG ≥126 mg/dL as reference standard. Approximately half (48%) of the 212 participants were female, mean age of 51.7 years (SD = 7.0) at enrollment. All PLWH (n = 118) were on antiretroviral therapy for a median of 7.5 years with mean CD4 cell count of 442 cells/µL. Mean FBG (89.7 mg/dL) and A1c (5.6%) were not different between PLWH and HIV-uninfected ( P > 0.50) groups, but the HIV-uninfected group had a higher prevalence of A1c >5.7% (33% vs. 20%, P = 0.024). We found a relatively strong correlation between A1c and FBG (r = 0.67). An A1c ≥6.5% had a poor sensitivity (46%, 95% CI 26-67%) but high specificity (98%, 95% CI 96-99%) for detecting diabetes. More work is needed to define an optimal A1c for screening diabetes in SSA.

Cost-effectiveness of the non-laboratory based Framingham algorithm in primary prevention of cardiovascular disease: A simulated analysis of a cohort of African American adults.

The non-lab Framingham algorithm, which substitute body mass index for lipids in the laboratory based (lab-based) Framingham algorithm, has been validated among African Americans (AAs). However, its cost-effectiveness and economic tradeoffs have not been evaluated. This study examines the incremental cost-effectiveness ratio (ICER) of two cardiovascular disease (CVD) prevention programs guided by the non-lab versus lab-based Framingham algorithm. We simulated the World Health Organization CVD prevention guidelines on a cohort of 2690 AA participants in the Atherosclerosis Risk in Communities (ARIC) cohort. Costs were estimated using Medicare fee schedules (diagnostic tests, drugs & visits), Bureau of Labor Statistics (RN wages), and estimates for managing incident CVD events. Outcomes were assumed to be true positive cases detected at a data driven treatment threshold. Both algorithms had the best balance of sensitivity/specificity at the moderate risk threshold (>10% risk). Over 12years, 82% and 77% of 401 incident CVD events were accurately predicted via the non-lab and lab-based Framingham algorithms, respectively. There were 20 fewer false negative cases in the non-lab approach translating into over $900,000 in savings over 12years. The ICER was -$57,153 for every extra CVD event prevented when using the non-lab algorithm. The approach guided by the non-lab Framingham strategy dominated the lab-based approach with respect to both costs and predictive ability. Consequently, the non-lab Framingham algorithm could potentially provide a highly effective screening tool at lower cost to address the high burden of CVD especially among AA and in resource-constrained settings where lab tests are unavailable.

Validation of the nonlaboratory-based Framingham cardiovascular disease risk assessment algorithm in the Atherosclerosis Risk in Communities dataset.

BACKGROUND: Nonlaboratory-based (non-LB) algorithms have been developed to facilitate absolute cardiovascular risk assessment in resource-constrained settings. The non-LB Framingham algorithm, which substitute BMI for lipids in laboratory-based Framingham, exhibits best performance among non-LB algorithms. However, its external validity has not been evaluated. AIM: To examine the validity of non-LB Framingham algorithm in Atherosclerosis Risk in Communities dataset, and contrast performance with the laboratory-based Framingham algorithm. METHODS: We developed Cox regression models including non-LB and laboratory-based Framingham covariates in Atherosclerosis Risk in Communities dataset. Discrimination was assessed via C-statistic, calibration via goodness-of-fit, and marginal discrimination value of BMI vis-à-vis lipids vis-à-vis waist-hip ratio via net reclassification improvement (NRI). Both models were compared via area under receiver operating characteristic. RESULTS: Among 11 601 participants (mean age 54 years, 55% women, 23% black), non-LB vs. laboratory-based Framingham performed as follows: C-statistic 0.75 vs. 0.76 among women and 0.67 vs. 0.68 among men; goodness-of-fit 14.2 vs. 10.5 among women and 25.8 vs. 21.8 among men. Overall area under receiver operating characteristic was 0.706 vs. 0.710, respectively, with no racial differences in discrimination or calibration. BMI and total cholesterol had no impact on NRI. Incremental predictive value of HDL was comparable with waist-hip ratio (category-less NRI = 0.34 vs. 0.31; categorical NRI = 0.06 vs. 0.05, P < 0.01). CONCLUSION: These results demonstrate the validity and limitations of the non-LB Framingham algorithm in a biracial cohort. Substituting BMI with a central adiposity metric such as waist-hip ratio or waist circumference could make the algorithm better or at par with the laboratory-based Framingham algorithm.

The Global Health Service Partnership: An Academic-Clinical Partnership to Build Nursing and Medical Capacity in Africa.

The World Health Organization estimates a global deficit of about 12.9 million skilled health professionals (midwives, nurses, and physicians) by 2035. These shortages limit the ability of countries, particularly resource-constrained countries, to deliver basic health care, to respond to emerging and more complex needs, and to teach, graduate, and retain their future health professionals-a vicious cycle that is perpetuated and has profound implications for health security. The Global Health Service Partnership (GHSP) is a unique collaboration between the Peace Corps, President's Emergency Plan for AIDS Relief, Seed and host-country institutions, which aims to strengthen the breadth and quality of medical and nursing education and care delivery in places with dire shortages of health professionals. Nurse and physician educators are seconded to host institutions to serve as visiting faculty alongside their local colleagues. They serve for 1 year with many staying longer. Educational and clinical best practices are shared, emphasis is placed on integration of theory and practice across the academic-clinical domains and the teaching and learning environment is expanded to include implementation science and dissemination of locally tailored and sustainable practice innovations. In the first 3 years (2013-2016) GHSP placed 97 nurse and physician educators in three countries (Malawi, Tanzania, and Uganda). These educators have taught 454 courses and workshops to 8,321 trainees, faculty members, and practicing health professionals across the curriculum and in myriad specialties. Mixed-methods evaluation included key stakeholder interviews with host institution faculty and students who indicate that the addition of GHSP enhanced clinical teaching (quality and breadth) resulting in improved clinical skills, confidence, and ability to connect theory to practice and critical thinking. The outputs and outcomes from four exemplars which focus on the translation of evidence to practice through implementation science are included. Findings from the first 3 years of GHSP suggest that an innovative, locally tailored and culturally appropriate multi-country academic-clinical partnership program that addresses national health priorities is feasible and generated new knowledge and best practices relevant to capacity building for nursing and medical education. This in turn has implications for improving the health of populations who suffer a disproportionate burden of global disease.

Methodological Challenges in Estimating Trends and Burden of Cardiovascular Disease in Sub-Saharan Africa.

Background. Although 80% of the burden of cardiovascular disease (CVD) is in developing countries, the 2010 global burden of disease (GBD) estimates have been cited to support a premise that sub-Saharan Africa (SSA) is exempt from the CVD epidemic sweeping across developing countries. The widely publicized perspective influences research priorities and resource allocation at a time when secular trends indicate a rapid increase in prevalence of CVD in SSA by 2030. Purpose. To explore methodological challenges in estimating trends and burden of CVD in SSA via appraisal of the current CVD statistics and literature. Methods. This review was guided by the Critical review methodology described by Grant and Booth. The review traces the origins and evolution of GBD metrics and then explores the methodological limitations inherent in the current GBD statistics. Articles were included based on their conceptual contribution to the existing body of knowledge on the burden of CVD in SSA. Results/Conclusion. Cognizant of the methodological challenges discussed, we caution against extrapolation of the global burden of CVD statistics in a way that underrates the actual but uncertain impact of CVD in SSA. We conclude by making a case for optimal but cost-effective surveillance and prevention of CVD in SSA.

The implementation of a clinical toolkit and adolescent depression screening program in primary care.

UNLABELLED: PROBLEM/BACKGROUND: Adolescent depression is a growing problem for today's society with only 30% receiving services. AIM AND METHODS: The aim of this project was to increase identification and treatment of depressed adolescents, and comfort levels of primary care providers with the implementation of a depression-screening program and use of a clinical depression toolkit within a primary care setting. SETTING: The setting was a private pediatric practice in central Maine. RESULTS: Over an 8-week period, 266 adolescents were screened. Twelve adolescents (4.5%) received a diagnosis of depression and 11 received treatment within 8 days. Survey results showed a significant increase in providers' feelings of comfort and accountability. CONCLUSION: This project demonstrates that it is feasible to implement a depression screening and treatment program in primary care. It demonstrates that primary care providers can increase their comfort and feelings accountability in treating depression in primary care, thus increasing access for this monumental and potential catastrophic problem.

Developing a strategy to identify and treat older patients with postoperative delirium.

Postoperative delirium is one of the most common adverse outcomes in elderly patients undergoing surgery and is associated with increased morbidity, length of stay, and patient care costs. The purpose of this quality improvement project was to evaluate the effectiveness of a multicomponent strategy to identify and treat general surgical patients 65 years of age or older at risk for and who develop postoperative delirium at Cape Cod Hospital, a community hospital in southern New England. We evaluated 96 patients using the Mini-Cog assessment tool preoperatively and the Confusion Assessment Method (CAM) delirium screening tool or CAM-Intensive Care Unit (CAM-ICU) assessment tool postoperatively. Patients who tested positive during preoperative assessment underwent a postoperative delirium management protocol. We summarized data using descriptive statistics. The results showed an association between compliance and outcomes. High compliance with implementation of CAM and CAM-ICU assessment tools resulted in increased identification of postoperative delirium in the older surgical population. The use of screening tools helped facilitate early identification of postoperative delirium in elderly surgical patients.

Evaluation of the performance of existing non-laboratory based cardiovascular risk assessment algorithms.

BACKGROUND: The high burden and rising incidence of cardiovascular disease (CVD) in resource constrained countries necessitates implementation of robust and pragmatic primary and secondary prevention strategies. Many current CVD management guidelines recommend absolute cardiovascular (CV) risk assessment as a clinically sound guide to preventive and treatment strategies. Development of non-laboratory based cardiovascular risk assessment algorithms enable absolute risk assessment in resource constrained countries.The objective of this review is to evaluate the performance of existing non-laboratory based CV risk assessment algorithms using the benchmarks for clinically useful CV risk assessment algorithms outlined by Cooney and colleagues. METHODS: A literature search to identify non-laboratory based risk prediction algorithms was performed in MEDLINE, CINAHL, Ovid Premier Nursing Journals Plus, and PubMed databases. The identified algorithms were evaluated using the benchmarks for clinically useful cardiovascular risk assessment algorithms outlined by Cooney and colleagues. RESULTS: Five non-laboratory based CV risk assessment algorithms were identified. The Gaziano and Framingham algorithms met the criteria for appropriateness of statistical methods used to derive the algorithms and endpoints. The Swedish Consultation, Framingham and Gaziano algorithms demonstrated good discrimination in derivation datasets. Only the Gaziano algorithm was externally validated where it had optimal discrimination. The Gaziano and WHO algorithms had chart formats which made them simple and user friendly for clinical application. CONCLUSION: Both the Gaziano and Framingham non-laboratory based algorithms met most of the criteria outlined by Cooney and colleagues. External validation of the algorithms in diverse samples is needed to ascertain their performance and applicability to different populations and to enhance clinicians' confidence in them.