Toward Concurrent Identification of Human Activities with a Single Unifying Neural Network Classification: First Step.

The characterization of human behavior in real-world contexts is critical for developing a comprehensive model of human health. Recent technological advancements have enabled wearables and sensors to passively and unobtrusively record and presumably quantify human behavior. Better understanding human activities in unobtrusive and passive ways is an indispensable tool in understanding the relationship between behavioral determinants of health and diseases. Adult individuals (N = 60) emulated the behaviors of smoking, exercising, eating, and medication (pill) taking in a laboratory setting while equipped with smartwatches that captured accelerometer data. The collected data underwent expert annotation and was used to train a deep neural network integrating convolutional and long short-term memory architectures to effectively segment time series into discrete activities. An average macro-F1 score of at least 85.1 resulted from a rigorous leave-one-subject-out cross-validation procedure conducted across participants. The score indicates the method's high performance and potential for real-world applications, such as identifying health behaviors and informing strategies to influence health. Collectively, we demonstrated the potential of AI and its contributing role to healthcare during the early phases of diagnosis, prognosis, and/or intervention. From predictive analytics to personalized treatment plans, AI has the potential to assist healthcare professionals in making informed decisions, leading to more efficient and tailored patient care.

PCOS health-related quality-of-life and depressive symptoms across the lifespan: Comparative study.

The purpose of this cross-sectional study was to compare health-related quality of life (HRQoL) and depressive symptoms among peri-postmenopausal women with polycystic ovary syndrome (PCOS) aged ≥43 years relative to premenopausal women with PCOS aged 18-42 years. An online survey link comprising questionnaires about demographics, HRQoL, and depressive symptoms was posted onto two PCOS-specific Facebook groups. Respondents (n = 1,042) were separated into two age cohorts: women with PCOS aged 18-42 years (n = 935) and women with PCOS aged ≥43 years (n = 107). Data from the online survey were analyzed using descriptive statistics, Pearson correlations, and multiple regression via SAS. Results were interpreted through the lens of life course theory. All demographic variables, except for the number of comorbidities, significantly differed between groups. HRQoL among older women with PCOS was significantly better as compared to those aged 18-42 years. Results indicated significant positive linear associations between the HRQoL psychosocial/emotional subscale and other HRQoL subscales and a significant negative association with age. The fertility and sexual function HRQoL subscales were not significantly associated with the psychosocial/emotional subscale among women aged ≥43 years. Women in both groups had moderate depressive symptoms. Study findings demonstrate the need to tailor PCOS management to women's life stage. This knowledge can inform future research about peri-postmenopausal women with PCOS and age-appropriate and patient-centered healthcare, including requisite clinical screenings (e.g., depressive symptoms) and lifestyle counseling across the lifespan.

Next generation nurse scientists: A systems approach to engaging undergraduate students in research.

BACKGROUND: Nursing Doctor of Philosophy program enrollment has declined. Undergraduate nursing student (UGS) research engagement is associated with future graduate education, an essential element for building the nursing faculty pipeline. PURPOSE: (a) To describe the infrastructure and culture-enhancing resources and strategies associated with building UGS research engagement and (b) to evaluate UGS research engagement. METHODS: Guided by a socioecological systems model university and college documents, databases, and college of nursing survey results were used to identify approaches to, and outcomes of, engaging UGS in research. Descriptive statistics were calculated to illustrate 5-year UGS research engagement trends. FINDINGS: Resources and strategies included grant funding, research assistant funding, student research showcases, and faculty mentorship. UGS research 5-year engagement trends included (a) a 75% increase in the number of students mentored, (b) a 30% rise in funded research proposals, and (c) a 54% increase in paid research assistantships. DISCUSSION: Purposefully using existing resources, growing the college of nursing infrastructure, and cultivating a culture recognizing faculty contributions were approaches associated with increased UGS research engagement.

Using Virtual Home Assistants to Address Vulnerable Adults' Complex Care Needs: An Exploratory Feasibility Study.

Harnessing technology has been proposed as one strategy to meet the social and health needs of older adults who prefer to age in place, but solutions remain elusive. In the current study, we evaluated the feasibility of using voice-activated virtual home assistants (VHAs; i.e., Amazon Echo "Alexa" devices) with older adults participating in the Program for All-Inclusive Care of the Elderly (PACE) over 4 months. Study methods included process evaluations, tracking participants' VHA use, and qualitative feedback from PACE participants and staff. The most common VHA activities were voice-activated smart lighting and asking for information. Participants infrequently used VHA activities that could promote physical or cognitive function (e.g., chair yoga, word recall game). Participants enjoyed using the VHAs, and PACE staff were enthusiastic about the potential for VHAs to facilitate aging in place and provided recommendations to increase participants' use of functional health activities. [Journal of Gerontological Nursing, 49(6), 33-40.].

Young Adults' Perspectives of Childhood Food Allergies: Implications for School Nurses.

The primary goal of this study was to examine young adults' perspectives about the effects of their food allergies (FAs) on their social lives from school-age to young adulthood. Young adults aged 18-21 (n = 10) at the University of South Carolina were interviewed. A qualitative descriptive method to find themes and commonalities from transcribed interviews was used for data analysis. Identified themes were (1) feeling different and being isolated, (2) strategies for managing feeling different and being isolated, (3) strategies for managing safety, and (4) acceptance of myself and by others. School-age children attributed the school lunch allergy table as contributing to social isolation. Additionally, participants described feeling different and concerns about safety. Strategies to mitigate those experiences were identified by participants. Implications for children with FAs, their parents, school nurses, and other education and health professionals who work with children are presented.

Scoping review: Social support impacts hospital readmission rates.

AIMS AND OBJECTIVES: To review and synthesise the current literature on social support and hospital readmission rates. BACKGROUND: Hospital readmission rates have not declined significantly since 2010 despite efforts to identify and implement strategies to reduce readmissions. After discharge, patients often report the need for help at home with personal care, medical care and/or transportation. Social factors can positively or negatively affect the transition from hospital to home and the extended recovery period experienced by patients. METHODS: Published primary studies in peer-reviewed journals, written in English, assessing the adult medical/surgical population and discussing social support and hospital readmission rates were included. A Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) was completed for this scoping review. RESULTS: The search resulted in 2919 articles. After removing duplicates and reviewing content for the inclusion and exclusion criteria, 23 articles were selected for review. Social support is provided by those within one's social circle. There are several types of social support and depending on the needs to the patient, the type of social required and provided is different. CONCLUSIONS: The most common form of social support needed at home for people recovering after a hospitalisation was instrumental support, tangible care in the form of assistance with daily personal and medical care, and transportation. Patients who lacked adequate social support after discharge were at an increased risk of hospital readmission. RELEVANCE TO CLINICAL PRACTICE: Identifying factors, such as social support, that may impact hospital readmission rates is important for quality hospital to home care transitions. Assessing patients' needs and available social support to meet those needs may be an essential part of the discharge planning process to decrease the risk of hospital readmission.

Pivoting Nursing Research and Scholarship During the COVID-19 Pandemic.

BACKGROUND: The global COVID-19 pandemic has brought numerous challenges for conducting the human subjects research needed to advance science and improve health. OBJECTIVES: The purpose of this article is to discuss how a college of nursing at a large public university in the southeast United States has responded to the challenges of conducting research during the novel COVID-19 pandemic. METHODS: Seven faculty researchers at the University of South Carolina College of Nursing share their experiences in overcoming the unique challenges of conducting research because of the COVID-19 pandemic. Strategies to overcome the challenges posed by COVID-19 are presented within the context of the research process, career implications, communication, and maintaining morale. RESULTS: Fears of COVID-19 and social distancing measures have hindered participant recruitment, enrollment, and involvement in ongoing studies. Increasing virtual technology use and enhancing safety precautions have assisted researchers to overcome barriers. Scholarly writing has increased for some faculty members whose studies have been stalled by the pandemic, yet others have seen a decline because of additional personal responsibilities. The careers of faculty members across all ranks have been uniquely affected by the pandemic. With most faculty working remotely, enhanced communication strategies at the university and college have supported the research enterprise. Morale has been adversely affected, but a variety of personal and collegial efforts have helped faculty cope and preserve a sense of normalcy during this devastating pandemic. DISCUSSION: Faculty and their ability to conduct the research needed to inform clinical and public health practice have been adversely affected by the COVID-19 pandemic. Despite the challenges of conducting research during this unprecedented crisis, faculty and institutions are taking novel steps to ensure the continuity of scientific progress for improving the health and well-being of patients and populations.

Perspectives of Aging Adults Who Frequently Seek Emergency Department Care.

BACKGROUND: The number of people managing chronic conditions is growing with the rapidly aging population. Visits to the emergency department are steadily rising, but little is known about the rationale of those seeking emergent care. AIMS: The goal of this study was to better understand, from the patients' perspective, the reasons for seeking care in an emergency department setting. DESIGN: A qualitative descriptive design was used to interview aging adults with at least two chronic conditions who made three or more visits to the emergency department within a year. PARTICIPANTS/SUBJECTS: The eight-person sample was 88% female and 75% white, with an average age of 54 years. METHODS: Participant interviews were conducted with a semistructured interview guide. Conventional content analysis was used to examine words and phrases in professionally transcribed documents. Qualitative methods for testing and confirming conclusions were performed. RESULTS: We discovered that aging adults visit the emergency department to seek relief from unrelenting pain and to overcome barriers to receiving treatment for pain in ambulatory settings. Participants reported feeling judged when seeking emergency department care for pain management. CONCLUSIONS: Participants described emergency department care as the only option in response to several barriers to healthcare access. Most commonly, emergency department care was sought when relief from persistent or acute pain was required. One way to reduce strain on EDs from pain-related visits is to manage patients with persistent pain more proactively in their community environment.

Social construction of biopsychosocial and medical experiences of women with polycystic ovary syndrome.

AIM: To explore the perceived biopsychosocial and medical experiences of women with polycystic ovary syndrome, as presented in stories written by women on a social support website. DESIGN: Qualitative descriptive using low inference content analysis, guided by the social construction of illness theoretical framework. METHODS: In July 2018, 95 of 379 website stories were randomly selected. The stories were analysed, ending in September 2018. RESULTS: Three major themes aligning with framework constructs were identified: Biopsychosocial struggles and management: "I can't even look in the mirror without wanting to cry," Sociocultural navigation: "I feel all alone and no one understands me." and Healthcare encounters: "I don't feel like I'm getting the help I need". These themes revealed that Polycystic ovary syndrome (PCOS) has biological and experiential components, which exist independently of each other and hold social and cultural meanings. CONCLUSION: Care for women with PCOS should be multidisciplinary, multidimensional, and multi-level to ameliorate biopsychosocial issues. Provider (physicians, nurse practitioners, physician assistants) education about PCOS is necessary to enhance timely diagnosis and implement individualized treatment strategies. Non-advanced practice nurses are in a unique position to have an impact on patient satisfaction and clinical outcomes by providing and reinforcing patient education, coordinating management processes, counselling via telephone or in-person appointments and facilitating referrals to ancillary providers. Evidence-based and accessible psychosocial supports and interventions will lead to improved self-esteem and effective coping skills, and reduced stigma-related stress. Lastly, policy changes are warranted to address access to care, health insurance inequities and inadequate funding for PCOS-related research. IMPACT: Increased awareness of PCOS and its biopsychosocial aspects will aid providers with timely diagnosis and meaningful treatment plans. Women with PCOS will gain acknowledgment, acceptance, and insight towards health care and self-management.

Predischarge Provider Visits as a Method of Improving Transitional Care Clinic Visit Rates.

BACKGROUND: Transitional care interventions have been associated with reduced 30-day patient readmission, better quality of health care, and lower emergency department visits and health care costs. LOCAL PROBLEM: Transition Services at a major quaternary care center was underutilized by patients who were referred to the program. METHODS: A pre-/postimplementation evaluation design was used to evaluate a quality improvement intervention. INTERVENTION: A face-to-face meeting between eligible patients and a Transition Services provider prior to patients being discharged from the hospital was evaluated as a process improvement intervention. The primary outcome was initial appointment attendance at the Transition Services clinic following hospital discharge. RESULTS: There was no statistically significant difference (P = .59) in patients' initial appointment attendance at Transition Services between the preintervention (48.1%) and intervention phases (54.8%). CONCLUSION: Provider engagement during hospitalization did not increase initial appointment attendance at Transition Services. Other strategies to improve Transition Services attendance rates are needed.

Student support in accelerated nursing programs: Gender-based perspectives and impact on academic outcomes.

BACKGROUND: Factors that contribute to student success in accelerated degree nursing programs are poorly understood and may vary by gender. PURPOSE: Examine associations between satisfaction with peer and mentor support, gender, and academic outcomes among students in accelerated degree nursing programs. METHODS: We used data (demographic variables, satisfaction with peer and mentor support, graduation, and attempts of National Council Licensure Examination for Registered Nurses) from the American Association of Colleges of Nursing and Robert Wood Johnson Foundation's New Career in Nursing Program. Multivariable mixed effects regression models were used to examine associations among gender, satisfaction with support, and academic outcomes. FINDINGS: Males had an increased probability of reporting high satisfaction with peer support. Both males and females who were very dissatisfied with peer support were less likely to graduate than students who were very satisfied with peer support. Gender did not moderate the relationships between satisfaction with peer and mentor support and academic outcomes. CONCLUSION: Peer support is an important aspect of graduation among students in accelerated degree nursing programs. Continuous quality improvement strategies to improve student peer support may be warranted.

Preserving Self: Medication-Taking Practices and Preferences of Older Adults With Multiple Chronic Medical Conditions.

PURPOSE: To examine the experiences of older adults with multiple chronic medical conditions when a new medication was added to their existing multiple medication regimen. DESIGN: A multimethod qualitative design was used. Thirty adults 60 years of age with (a) at least three chronic medical diagnoses, (b) at least five medications at baseline, and (c) a new medication prescription were enrolled in a prospective study of 30 days duration, participating from their homes. METHODS: In-depth hermeneutic interviews (2 per 15 participants) and self-assessment diaries recorded on electronic tablets (daily per 30 participants) were completed. Transcribed interviews and self-recorded survey data were analyzed using hermeneutical analysis and ecological momentary assessment and content analysis, respectively. FINDINGS: Common reasons participants did not take medications as prescribed included tolerability, transportation, access to medications, and forgetting. The overarching pattern, "preserving self," was supported by two patterns that subsumed several themes: (a) engaging the powerful hold of my illness, and (b) engaging providers in visioning health. CONCLUSIONS: A deeper understanding of the impact of receiving a new prescription and of managing medication reveals the challenges patients experience in preserving a sense of self. Healthcare providers of all disciplines should understand the meaning of medication prescribing and medication taking to ameliorate medication-taking difficulties. CLINICAL RELEVANCE: The provider-patient relationship is often cited as an area that needs to be addressed in healthcare practice. Our study emphasized the patients' voices and their profound needs around medication management. The emphasis on preservation of self is an important finding that focalizes the concern.

Exploring the Experiential Journey of Women with PCOS Across the Lifespan: A Qualitative Inquiry.

Introduction: Peri-postmenopausal women with the chronic condition polycystic ovary syndrome (PCOS) remain at cardiometabolic risk and/or subsist with established comorbidity while continuing to manage persistent PCOS signs and symptoms, such as hirsutism. Thus, PCOS transcends the reproductive years, yet there is sparse scientific literature on the peri-postmenopausal years of women with PCOS. Purpose: To explore how peri-postmenopausal women's perceptions about PCOS have changed over the lifespan since their PCOS diagnosis. Methods: A cross-sectional survey with one qualitative question was conducted via Research Electronic Data Capture (REDCap) among women with PCOS aged ≥43 years, who were all recruited from PCOS-specific Facebook pages. Of the 107 women completing the survey, 72 substantively answered the qualitative question. The qualitative responses were analyzed using the steps of reflexive thematic analysis. Themes were interpreted and discussed through the lens of the bioecological conceptual model. Results: Respondents were 47.6 (±4.1) years of age, primarily White (87.5%), employed full time (65.3%), and married (75%) with children (68%). Four overall themes were identified: 1) dismissal 2) information desert, 3) PCOS experience over the lifespan, and 4) mindset. Conclusion: The study findings illustrated the unique healthcare needs among peri-postmenopausal women with PCOS. Further research is needed to further explore their healthcare concerns and psychosocial needs followed by studies that develop and assess interventions that promote symptom and adaptive coping strategies across their lifespan.

Facilitators and challenges to conducting interdisciplinary research.

BACKGROUND: Complex, interconnected issues challenge the United States health care system and the patients and families it serves. System fragmentation, limited resources, rigid disciplinary boundaries, institutional culture, ineffective communication, and uncertainty surrounding health policy legislation are contributing to suboptimal care delivery and patient outcomes. METHODS: These problems are too complex to be solved by a single discipline. Interdisciplinary research affords the opportunity to examine and solve some of these problems from a more integrative perspective using innovative and rigorous methodological designs. RESULTS: In this paper, we explore lessons learned from exemplars funded by the Robert Wood Johnson Foundation's Interdisciplinary Nursing Quality Research Initiative. DISCUSSION: The discussion is framed using an adaptation of the Interdisciplinary Research Model to evaluate improvements in individual health outcomes, health systems, and health policy. Barriers and facilitators to designing, conducting, and translating interdisciplinary research are discussed. Implications for health system and policy changes, including the need to provide funding mechanisms to implement interdisciplinary processes in both research and clinical practice, are provided.

Detecting Medication-Taking Gestures Using Machine Learning and Accelerometer Data Collected via Smartwatch Technology: Instrument Validation Study.

BACKGROUND: Medication adherence is a global public health challenge, as only approximately 50% of people adhere to their medication regimens. Medication reminders have shown promising results in terms of promoting medication adherence. However, practical mechanisms to determine whether a medication has been taken or not, once people are reminded, remain elusive. Emerging smartwatch technology may more objectively, unobtrusively, and automatically detect medication taking than currently available methods. OBJECTIVE: This study aimed to examine the feasibility of detecting natural medication-taking gestures using smartwatches. METHODS: A convenience sample (N=28) was recruited using the snowball sampling method. During data collection, each participant recorded at least 5 protocol-guided (scripted) medication-taking events and at least 10 natural instances of medication-taking events per day for 5 days. Using a smartwatch, the accelerometer data were recorded for each session at a sampling rate of 25 Hz. The raw recordings were scrutinized by a team member to validate the accuracy of the self-reports. The validated data were used to train an artificial neural network (ANN) to detect a medication-taking event. The training and testing data included previously recorded accelerometer data from smoking, eating, and jogging activities in addition to the medication-taking data recorded in this study. The accuracy of the model to identify medication taking was evaluated by comparing the ANN's output with the actual output. RESULTS: Most (n=20, 71%) of the 28 study participants were college students and aged 20 to 56 years. Most individuals were Asian (n=12, 43%) or White (n=12, 43%), single (n=24, 86%), and right-hand dominant (n=23, 82%). In total, 2800 medication-taking gestures (n=1400, 50% natural plus n=1400, 50% scripted gestures) were used to train the network. During the testing session, 560 natural medication-taking events that were not previously presented to the ANN were used to assess the network. The accuracy, precision, and recall were calculated to confirm the performance of the network. The trained ANN exhibited an average true-positive and true-negative performance of 96.5% and 94.5%, respectively. The network exhibited <5% error in the incorrect classification of medication-taking gestures. CONCLUSIONS: Smartwatch technology may provide an accurate, nonintrusive means of monitoring complex human behaviors such as natural medication-taking gestures. Future research is warranted to evaluate the efficacy of using modern sensing devices and machine learning algorithms to monitor medication-taking behavior and improve medication adherence.

Using medical expenditure panel survey data to explore the relationship between patient-centered medical homes and racial disparities in severe maternal morbidity outcomes.

BACKGROUND: There are persistent racial/ethnic disparities in the occurrence of severe maternal morbidity. Patient-centered medical home care has the potential to address disparities in maternal outcomes. OBJECTIVES: To examine (1) the association between receiving patient-centered medical home care and severe maternal morbidity outcomes and (2) the interaction of race/ethnicity on patient-centered medical home status and severe maternal morbidity. DESIGN/METHODS: Using 2007 to 2016 data from the Medical Expenditures Panel Survey, we conducted a cross-sectional study to estimate the association between receipt of care from a patient-centered medical home and the occurrence of severe maternal morbidity, and racial-specific (White, Black, Asian, Other) relative risks of severe maternal morbidity. Our study used race as a proxy measure for exposure racism. We identified mothers (⩾15 years) who gave birth during the study period. We identified patient-centered medical home qualities using 11 Medical Expenditures Panel Survey questions and severe maternal morbidities using medical claims, and calculated generalized estimating equation models to estimate odds ratios of severe maternal morbidity and 95% confidence intervals. RESULTS: Among all mothers who gave birth (N = 2801; representing 5,362,782 US lives), only 25% received some exposure patient-centered medical home care. Two percent experienced severe maternal morbidity, and this did not differ statistically (p = 0.11) by patient-centered medical home status. However, our findings suggest a 85% decrease in the risk of severe maternal morbidity among mothers who were defined as always attending a patient-centered medical home (odds ratios: 0.15; 95% confidence interval:0.01-1.87; p = 0.14) and no difference in the risk of severe maternal morbidity among mothers who were defined as sometimes attending a patient-centered medical home (odds ratios: 1.00; 95% confidence interval:0.16-6.42; p = 1.00). There was no overall interaction effect in the model between race and patient-centered medical home groups (p = 0.82), or ethnicity and patient-centered medical home groups (p = 0.62) on the severe maternal morbidity outcome. CONCLUSION: While the rate of severe maternal morbidity was similar to US rates, few mothers received care from a patient-centered medical home which may be due to underreporting. Future research should further investigate the potential for patient-centered medical home-based care to reduce odds of severe maternal morbidity across racial/ethnic groups.

Leveraging digital technology for social connectedness among adults with chronic conditions: A systematic review.

Purpose: To review the evidence about the impact of digital technology on social connectedness among adults with one or more chronic health conditions. Methods: PubMed, Embase, Social Sciences, CINAHL, and Compendex were systematically searched for full-text, peer-reviewed empirical evidence published between 2012 and 2023 and reported using the PRISMA flow diagram. Articles were critically appraised applying the Joanna Briggs Institute checklists. Specific data were extracted based on the framework for social identity and technology approaches for health outcomes and then analyzed and synthesized. Results: Thirty-four studies met study criteria. Evidence showed heterogeneity among research methodology, chronic health conditions, digital technology, and health outcomes. Technology use was influenced by factors such as usability, anonymity, availability, and control. More advanced digital technologies require higher digital literacy and improved accessibility features/modifications. Social support was the most measured aspect of social connectedness. The emotional and informational forms of social support were most reported; instrumental support was the least likely to be delivered. Self-efficacy for using technology was considered in seven articles. Sixteen articles reported health outcomes: 31.2% (n = 5) described mental health outcomes only, 18.8% (n = 3) reported physical health outcomes only, 31.2% (n = 5) detailed both physical and mental health outcomes, whereas 18.8% (n = 3) denoted well-being or quality-of-life outcomes. Most often, health outcomes were positive, with negative outcomes for selected groups also noted. Conclusion: Leveraging digital technology to promote social connectedness has the potential to affect positive health outcomes. Further research is needed to better understand the social integration of technology among populations with different contexts and chronic health conditions to enhance and tailor digital interventions.

Perceptions of COVID-19 and the Use of Health Information Technology Among People Who Are Uninsured: Multimethod Survey Study.

BACKGROUND: As of May 2023, the novel SARS-CoV-2 has claimed nearly 7 million lives globally and >1.1 million lives in the United States. Low-income populations are often disproportionately affected by risk factors such as lifestyle, employment, and limited health literacy. These populations may lack the knowledge of appropriate infection precautions or have reduced access to care during illness, particularly in countries without universal health care. OBJECTIVE: We aimed to explore the perceptions and experiences of COVID-19, including symptoms and risk factors among uninsured individuals seeking care at a free medical clinic, and to obtain respondents' perceptions of and suggestions for adapting a mobile health (mHealth) app to an uninsured population known to have low health literacy. METHODS: We conducted a prospective multimethod survey study with a convenience sample of uninsured adults seeking care at 3 free clinics in the United States. Respondents were questioned about their risk for and awareness of COVID-19 symptoms, COVID-19 testing, current technology use, and the use of technology to facilitate their health regarding COVID-19. Data were analyzed using descriptive statistics (eg, frequencies and mean differences). In addition, a small subset of respondents from one of the clinics (n=10) participated in interviews to provide feedback about the design of a COVID-19 web-based smartphone (mHealth) app. RESULTS: The survey respondents (N=240) were 53.8% (n=129) female, were primarily White (n=113, 47.1%), and had a mean age of 50.0 (SD 11.67; range 19-72) years. Most respondents (162/222, 73%) did not think that they were at risk for COVID-19. Although respondents reported only moderate confidence in their knowledge of the short- and long-term symptoms of COVID-19, their knowledge of the symptoms aligned well with reports published by the Centers for Disease Control and Prevention of the most common acute (590/610, 96.7%) and long-term (217/271, 80.1%) symptoms. Most respondents (159/224, 71%) reported an interest in using the mHealth app to gain additional information regarding COVID-19 and available community resources. Respondents who were interviewed provided suggestions to improve the mHealth app but had overall positive perceptions about the potential usefulness and usability of the app. CONCLUSIONS: It was encouraging that the knowledge of COVID-19 symptoms aligned well with the reports published by the Centers for Disease Control and Prevention and that respondents were enthusiastic about using an mHealth app to monitor symptoms. However, it was concerning that most respondents did not think they were at a risk of contracting COVID-19.

Dietary goal attainment measures and psychosocial factors among Mexican Americans and non-Hispanic whites with type 2 diabetes.

Diabetes education programs need improved measures of goal setting for dietary control of diabetes. Additionally, measures of patient experiences with dietary goal setting are needed to better prepare patients for diabetes self-management. Measures of dietary goals and strategies were investigated via survey of 100 Mexican Americans and non-Hispanic whites with type 2 diabetes at a community clinic. Analyses tested novel goal measures as stages of change and goal attainment with a food plan compared to a traditional measure of food plan adherence. Ethnic groups varied in some reported experiences with goal setting education and goal attainment, but did not differ in most clinical characteristics of diabetes. Results indicated that different measures of goal setting vary in their psychosocial predictors, suggesting changes in how health care providers use and monitor goal setting for patients. At the time this research was conducted, Dr. Briggs Early was a doctoral candidate in the Department of Food Science and Human Nutrition at Washington State University. She is currently an Assistant Professor of Biochemistry and Nutrition at Pacific Northwest University of Health Sciences - College of Osteopathic Medicine, and a certified diabetes educator, and insulin pump trainer in Yakima, Washington.