Advancing human health in the decade ahead: pregnancy as a key window for discovery: A Burroughs Wellcome Fund Pregnancy Think Tank.

Recent revolutionary advances at the intersection of medicine, omics, data sciences, computing, epidemiology, and related technologies inspire us to ponder their impact on health. Their potential impact is particularly germane to the biology of pregnancy and perinatal medicine, where limited improvement in health outcomes for women and children has remained a global challenge. We assembled a group of experts to establish a Pregnancy Think Tank to discuss a broad spectrum of major gestational disorders and adverse pregnancy outcomes that affect maternal-infant lifelong health and should serve as targets for leveraging the many recent advances. This report reflects avenues for future effects that hold great potential in 3 major areas: developmental genomics, including the application of methodologies designed to bridge genotypes, physiology, and diseases, addressing vexing questions in early human development; gestational physiology, from immune tolerance to growth and the timing of parturition; and personalized and population medicine, focusing on amalgamating health record data and deep phenotypes to create broad knowledge that can be integrated into healthcare systems and drive discovery to address pregnancy-related disease and promote general health. We propose a series of questions reflecting development, systems biology, diseases, clinical approaches and tools, and population health, and a call for scientific action. Clearly, transdisciplinary science must advance and accelerate to address adverse pregnancy outcomes. Disciplines not traditionally involved in the reproductive sciences, such as computer science, engineering, mathematics, and pharmacology, should be engaged at the study design phase to optimize the information gathered and to identify and further evaluate potentially actionable therapeutic targets. Information sources should include noninvasive personalized sensors and monitors, alongside instructive "liquid biopsies" for noninvasive pregnancy assessment. Future research should also address the diversity of human cohorts in terms of geography, racial and ethnic distributions, and social and health disparities. Modern technologies, for both data-gathering and data-analyzing, make this possible at a scale that was previously unachievable. Finally, the psychosocial and economic environment in which pregnancy takes place must be considered to promote the health and wellness of communities worldwide.

Integration of Personalized Health Planning and Shared Medical Appointments for Patients with Type 2 Diabetes Mellitus.

OBJECTIVES: This study describes the feasibility of implementing personalized health planning (PHP) within shared medical appointments (SMAs) for patients with type 2 diabetes mellitus. The PHP-SMA approach was designed to synergize the benefits of SMAs with those of PHP, enabling greater patient engagement focused on meeting individualized therapeutic goals in a group setting. METHODS: Patients were assigned randomly to a PHP-SMA or a standard eight-session SMA series. Standard SMAs included an interactive educational curriculum delivered in group medical encounters. The PHP-SMA included the addition of a patient self-assessment, health risk assessment, shared patient-provider goal setting, creation of a personal health plan, and follow-up on clinical progress. Clinical and patient-reported outcomes and qualitative data from focus groups with patients, providers, and administrative staff were used for evaluation. Qualitative data explored facilitators and barriers to implementation of the PHP-SMA. The Consolidated Framework for Implementation Research was used to provide insight into implementation factors. RESULTS: PHP was successfully integrated into SMAs in a primary care setting. Patients in the PHP-SMA (n = 12) were more likely to attend ≥5 sessions than patients assigned to the standard SMA (n = 7; 58% PHP, 28.5% control). Qualitative data evaluation described the advantages and barriers to PHP, the team-based approach to care, and patient participation. The PHP-SMA group experienced reductions in hemoglobin A1c, low-density lipoprotein, blood pressure, and body mass index, as well as successful attainment of health goals. CONCLUSIONS: The PHP-SMA is a proactive and participatory approach to chronic care delivery that synergizes the benefits of PHP within SMAs. This study describes the components of this intervention; collects evidence on feasibility, acceptability, and clinical outcomes; and identifies implementation barriers and facilitators. The PHP-SMA warrants further evaluation as an approach to improve health outcomes in patients with common chronic conditions.

Personalized health care in 2013: a status report on the impact of genomics.

This issue of the NCMJ describes the impact that genomics has had on the practice of medicine in the decade since the full sequencing of the human genome was completed in 2003. Specifically, it reports on how genomics is affecting health care delivery, describes the concept of personalized health care, and discusses the role that genomics plays in such care. The commentaries and sidebars that follow highlight the opportunities and challenges of bringing genomics into clinical practice. Reading these articles will hopefully give clinicians and others a better understanding of the benefits and limitations of genomic technologies. Emerging capabilities, resulting in part from genomic research, are providing an opportunity to move health care from a reactive, disease-focused model to one that is personalized, predictive, proactive, precise, and patient-centered. Genomics and related technologies have already changed many approaches to care, particularly in the field of oncology, and I believe they will help to transform our overall approach to the delivery of health care. With the rapidly accumulating capabilities being developed and the focus on patient-centered and personalized care, I expect that the practice of medicine will become proactive and personalized within the next decade.

Risk factors of food insecurity among students at diverse post-secondary education institutions: a cross-sectional examination.

OBJECTIVE: Identify the prevalence of food insecurity (FI) and compare sociodemographic, mental, physical, behavioral, and environmental risk factors for FI among students at a private university, community college, and historically black college or university (HBCU). PARTICIPANTS: Adult students attending a private university, community college, or HBCU (n = 4,140) located within the southeastern United States. METHODS: Using an online survey (2017-2019), FI, sociodemographic, mental, physical, behavioral, and environmental data were collected to understand their association with FI. RESULTS: Up to 37.1% of students experienced FI. Identifying as black, other/multi-racial, having poor sleep, federal loans, depressive symptoms, high stress, social isolation, or a chronic condition were associated with FI. These associations varied by institution. CONCLUSIONS: FI is prevalent within diverse post-secondary institutions that serve traditional and nontraditional students with risk factors varying between institutions. The prevalence of FI and risk factors can inform institutional policy responses to ameliorate the effects of FI.

Compassion and Health Care: A Discussion With the Dalai Lama.

The calling to be a physician has historically been driven by compassion-that is, the desire to relieve the suffering of others. However, the current health care delivery system in the United States has increasingly limited the ability of physicians to express compassion as they are afforded little time for meaningful interaction with their patients. One of the authors (R.S.) draws on his current focus on developing personalized, proactive, and patient-driven models of care to argue that patient engagement plays a critical role in achieving favorable outcomes. Believing that compassion is key for establishing the physician-patient relationship needed to foster patient engagement, R.S. sought the advice of one of the world's most recognized thought leaders on this topic, His Holiness the 14th Dalai Lama. This Invited Commentary describes the meeting between the two authors, the Dalai Lama's thoughts about compassion, and his challenge to bring attention to the importance of compassion in medical education, practice, and research.

An evaluation of mHealth adoption and health self-management in emerging adulthood.

This study offers a description of factors that predict the adoption of mobile health technologies (mHealth) and their application for health self-management in emerging adults. Primary data collection occurred at three diverse postsecondary educational institutions (N= 1,329). The analysis used a logistic regression to identify predictors of mHealth adoption. Descriptive analyses are presented on health self-management applications and perceived ease of use and effectiveness. Use of mHealth was high in respondents (58.5%). Factors associated with increased likelihood of mHealth adoption included being female, overweight or obese, having a chronic condition, eating the recommended amount of daily fruit, and engaging in regular moderate exercise. Low household income was associated with being less likely to use mHealth. The most common self-management application for mHealth was for tracking physical activity. Findings related to ease of use and effectiveness ratings by applications may provide insight into designing more effective mHealth tools in this population.

Meeting the challenges facing clinical research: solutions proposed by leaders of medical specialty and clinical research societies.

The development of a robust national clinical research enterprise is needed to improve health care, but faces formidable challenges. To define the impediments and formulate solutions, the Institute of Medicine's Clinical Research Roundtable convened leaders from medical specialty and clinical research societies in 2003. Participants considered how to influence clinical research funding priorities, promote mechanisms to train physicians and other health care professionals to conduct clinical research, and how to encourage health care providers to follow evidence-based medical practice. Consensus emerged on multiple issues, including intersociety collaboration, the need for a core clinical research curriculum for training the new cadre of clinical researchers, joint advocacy for increased funding of clinical research and for the education of policymakers and the public on the benefits of clinical research. Specific recommendations were made on mechanisms for recruitment, training, and retention of clinical research trainees and mentors. Steps were outlined (1) to overcome career disincentives and develop appropriate reward systems for mentors and trainees, (2) to encourage use of web-based and continuing-medical-education-based mechanisms to bring practitioners up to date on issues in and results of clinical research, and (3) to create incentives for individuals, clinics, and hospitals to practice evidence-based medicine (EBM). Collectively, the response and proposed strategies can serve as a roadmap to improve clinical research funding and training, evidence-based medical practice, and health care quality.

Personalized Health Planning in Primary Care Settings.

Personalized health planning can be operationalized as a health care delivery model to support personalized, proactive, patient-driven care.

Prospective medicine: the next health care transformation.

The introduction of science into the practice of medicine in the early 20th century was a transforming event for the profession. Now, breakthroughs in science and know how make it possible to transform care once again and to fix the broken U.S. health care system. To realize this potential, new models of prospective health care must be created and validated. Prospective health care would determine the risk for individuals to develop specific diseases, detect the disease's earliest onset, and prevent or intervene early enough to provide maximum benefit. Each individual would have a personalized health plan to accomplish this. Current knowledge is already sufficient to implement this approach, but there are no effective practice models, delivery systems, and appropriate reimbursement mechanisms. The authors describe the mechanisms of managing care prospectively, describe the components of a personalized health plan, and show how prospective care could relate to a community or group of covered individuals. They conclude by stressing that all interested parties, including academic health centers, insurers, and payers, will need to work together to develop innovative applications of new technologies and appropriate delivery models. At their own institution, pilot programs to foster prospective health care have already begun, and another initiative to develop models to use genomic medicine is also underway. Bipartisan political support will also be needed to help achieve rational reimbursement between providers and payers, so that prospective care can fulfill its promise of being the best cost-effective model to improve the nation's health.

Patient engagement as a risk factor in personalized health care: a systematic review of the literature on chronic disease.

BACKGROUND: The role of patient engagement as an important risk factor for healthcare outcomes has not been well established. The objective of this article was to systematically review the relationship between patient engagement and health outcomes in chronic disease to determine whether patient engagement should be quantified as an important risk factor in health risk appraisals to enhance the practice of personalized medicine. METHODS: A systematic review of prospective clinical trials conducted between January 1993 and December 2012 was performed. Articles were identified through a medical librarian-conducted multi-term search of Medline, Embase, and Cochrane databases. Additional studies were obtained from the references of meta-analyses and systematic reviews on hypertension, diabetes, and chronic care. Search terms included variations of the following: self-care, self-management, self-monitoring, (shared) decision-making, patient education, patient motivation, patient engagement, chronic disease, chronically ill, and randomized controlled trial. Studies were included only if they: (1) compared patient engagement interventions to an appropriate control among adults with chronic disease aged 18 years and older; (2) had minimum 3 months between pre- and post-intervention measurements; and (3) defined patient engagement as: (a) understanding the importance of taking an active role in one's health and health care; (b) having the knowledge, skills, and confidence to manage health; and (c) using knowledge, skills and confidence to perform health-promoting behaviors. Three authors and two research assistants independently extracted data using predefined fields including quality metrics. RESULTS: We reviewed 543 abstracts to identify 10 trials that met full inclusion criteria, four of which had 'high' methodological quality (Jadad score ≥ 3). Diverse measurement of patient engagement prevented robust statistical analyses, so data were qualitatively described. Nine studies documented improvements in patient engagement. Five studies reported reduction in clinical markers of disease (for example HbA1C). All studies reported improvements in self-reported health status. CONCLUSIONS: This review suggests patient engagement should be quantified as part of a comprehensive health risk appraisal given its apparent value in helping individuals to effectively self-manage chronic disease. Patient engagement measures should include assessment of the knowledge, confidence and skills to prevent and manage chronic disease, plus the behaviors to do so.

Personalized health care: from theory to practice.

The practice of medicine stands at the threshold of a transformation from its current focus on the treatment of disease events to an emphasis on enhancing health, preventing disease and personalizing care to meet each individual's specific health needs. Personalized health care is a new and strategic approach that is driven by personalized health planning empowered by personalized medicine tools, which are facilitated by advances in science and technology. These tools improve the capability to predict health risks, to determine and quantify the dynamics of disease development, and to target therapeutic approaches to the needs of the individual. Personalized health care can be implemented today using currently available technologies and know-how and thereby provide a market for the rational introduction of new personalized medicine tools. The need for early adoption of personalized health care stems from the necessity to reduce the egregious and wasteful burden of preventable chronic diseases, which is not effectively addressed by our current approach to care.