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.

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.

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.

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 Planning in Primary Care Settings.

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

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 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.

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.

Personalized health care as a pathway for the adoption of genomic medicine.

While the full promise of genomic medicine may be many years in the future, personalized health care (PHC) can begin solving important health care needs now and provide a framework for the adoption of genomic technologies as they are validated. PHC is a strategic approach to medicine that is individualized, predictive, preventive, and involves intense patient engagement. There is great need for more effective models of care as nearly half of Medicare patients age 65 and older have three or more preventable chronic conditions and account for 89% of Medicare's growing expenditures. With its focus on reactive care, the current health care system is not designed to effectively prevent disease nor manage patients with multiple chronic conditions. PHC may be a solution for improving care for this population and therefore has been adopted as the delivery platform along with a new personalized health plan tool for 230 multi-morbid, homebound Medicare recipients in Durham, North Carolina who have been high utilizers of health care resources. PHC integrates available personalized health technologies, standards of care, and personalized health planning to serve as a model for rational health care delivery. Importantly, the PHC model of care will serve as a market for emerging predictive and personalized technologies to foster genomic medicine.

Personalized medicine is more than genomic medicine: confusion over terminology impedes progress towards personalized healthcare.

Over the last decade, scientific discovery and technological advances have created great anticipation for capabilities to tailor individual medical decisions and provide personalized healthcare. Despite some advances, adoption has been sporadic and there remains a lack of consensus about what personalized healthcare actually means. This confusion has often resulted from the mistake of equating personalized medicine with genomic medicine, and thereby, attributing it as yet unfulfilled expectations of genomic medicine to the broader application of personalized medicine. The lack of a clear understanding of personalized medicine has limited its adoption within clinical delivery models. It is thus essential to reach a consensus regarding what personalized healthcare and its components mean. We propose that personalized healthcare is an approach to care that utilizes personalized medicine tools to deliver patient-centered, predictive care within the context of coordinated service delivery, and it is poised to improve healthcare delivery today.