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.

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.

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.

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.

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.].

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.

Leveraging Digital Technology to Support Pregnant and Early Parenting Women in Recovery from Addictive Substances: A Scoping Review.

Little is known about digital health interventions used to support treatment for pregnant and early parenting women (PEPW) with substance use disorders (SUD). METHODS: Guided by the Arksey and O'Malley's Scoping Review Framework, empirical studies were identified within the CINAHL, PsycInfo, PubMed, and ProQuest databases using subject headings and free-text keywords. Studies were selected based on a priori inclusion/exclusion criteria, and data extraction and descriptive analysis were performed. RESULTS: A total of 27 original studies and 30 articles were included. Varying study designs were used, including several feasibility and acceptability studies. However, efficacious findings on abstinence and other clinically important outcomes were reported in several studies. Most studies focused on digital interventions for pregnant women (89.7%), suggesting a dearth of research on how digital technologies may support early parenting women with SUD. No studies included PEPW family members or involved PEPW women in the intervention design. CONCLUSIONS: The science of digital interventions to support treatment for PEPW is in an early stage, but feasibility and efficacy results are promising. Future research should explore community-based participatory partnerships with PEPW to develop or tailor digital interventions and include family or external support systems to engage in the intervention alongside PEPW.

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.

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.

Post-Hospital Availability of Instrumental Support May Influence Patients' Readiness for Discharge.

PURPOSE OF STUDY: Evaluate the relationship between unplanned acute care utilization after discharge from an index hospital admission and registered nurse and patient perceptions of available instrumental support the patient would have after discharge. PRIMARY PRACTICE SETTING: Three hospitals in a large regional hospital system in the southeastern United States. METHODOLOGY AND SAMPLE: Retrospective, secondary quantitative analysis of 13,361 patient records (mean age 58.4 years; 51% female) from index hospitalizations evaluating patient and nurse responses to 2 questions that specifically address instrumental support on both the patient and nurse versions of the Readiness for Hospital Discharge Survey (RHDS) and subsequent unexpected care received (emergency department [ED] visit, observation stay, hospital readmission) in the acute care setting within 60 days of discharge. Logistic regression was used to evaluate the relationship between RHDS scores and unplanned care received. RESULTS: Patients who required hospital-based acute care within 60 days after discharge had lower average RN-RHDS scores than those who did not require hospital-based acute care. IMPLICATIONS FOR CASE MANAGEMENT PRACTICE: Including a nursing assessment of potential postdischarge expected instrumental support may be helpful in identifying patients who are at a higher risk of experiencing postdischarge acute care utilization. Monitoring ED visits and observation stays in addition to readmissions will facilitate capturing significantly more points of care received after discharge and provide additional information regarding postdischarge care utilization.

Instrumental support: A conceptual analysis.

The aim of this paper was to use the Walker and Avant method of concept analysis to evaluate the concept of instrumental support in the context of hospital to home care transitions. Findings from this concept analysis suggest three defining attributes of instrumental support: informal support providers, tangible support, and unmet personal needs. Antecedents identified: a strong and supportive social network, an independently functioning adult, an illness resulting in hospitalization, a change in functional status, and the patient being discharged home from the hospital. Consequences of not having adequate instrumental support: unsuccessful recovery at home, increased risk for hospital readmission, decline in physical functioning, health complications, and increased risk of mortality. Empirical referents: patient's report of successful recovery, returning to an independent level of functioning, and the lack of hospital readmission or health complication. A model and a contrary case study were developed to provide examples of clinical cases related to instrumental support. Recommendations related to clinical practice include evaluating the availability/adequacy of instrumental support before hospital discharge and including the identified instrumental support person in the discharge planning process. There are proven benefits of having people within one's social network providing instrumental support during the home recovery period.

Correction: Medication Adherence Reminder System for Virtual Home Assistants: Mixed Methods Evaluation Study.

[This corrects the article DOI: .].

Sleep quality: An evolutionary concept analysis.

AIM: To clarify the meaning of the concept sleep quality. BACKGROUND: Sleep loss and sleep quality are global health concerns. Poor sleep quality has significant adverse health outcomes. A clarification of the term is necessary to inform patients and healthcare providers, promote consistent theoretical and operational definitions in research, and develop prevention and treatment strategies. DESIGN: Concept analysis. DATA SOURCES: Scientific literature from electronic databases (CINAHL, PsycINFO, PubMED, Web of Science, and JSTOR) and definitions from online dictionaries. REVIEW METHODS: Rodgers' Evolutionary method was applied to guide the concept analysis to identify and determine the attributes, antecedents, and consequences. RESULTS: Sleep quality is defined as an individual's self-satisfaction with all aspects of the sleep experience. Sleep quality has four attributes: sleep efficiency, sleep latency, sleep duration, and wake after sleep onset. Antecedents include physiological (e.g., age, circadian rhythm, body mass index, NREM, REM), psychological (e.g., stress, anxiety, depression), and environmental factors (e.g., room temperature, television/device use), and family/social commitments. Good sleep quality has positive effects such as feeling rested, normal reflexes, and positive relationships. Poor sleep quality consequences include fatigue, irritability, daytime dysfunction, slowed responses, and increased caffeine/alcohol intake. CONCLUSIONS: Sleep quality is essential, and poor sleep quality contributes to disease and poor health outcomes. Given the extensive consequences of poor sleep quality, nurses and clinicians are vital in instructing the importance of good sleep.

Using community-based participatory methods to design a digital intervention for mothers with substance use disorders: Qualitative results from focus group discussions.

PURPOSE: This community-based participatory research project explored the feasibility of delivering parenting and recovery supports through digital technology for mothers recovering from addictive substances. DESIGN AND METHODS: A community advisory board of key stakeholders (n = 7) served as a focus group of advisors to discuss needed supports. Data were analyzed through qualitative descriptive analysis. FINDINGS: Results revealed themes about challenges and supports needed, and whether supports delivered through digital technology may improve recovery and parenting. PRACTICE IMPLICATIONS: Future exploration needs to examine the extent to which the use of community-guided, tailored digital support applications that supplement prescribed treatment can enhance parenting and recovery.

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.

The impact of exercise perceptions and depressive symptoms on polycystic ovary syndrome-specific health-related quality of life.

BACKGROUND: Studies indicate that women with polycystic ovary syndrome have high depressive symptom scores and more perceived barriers than benefits to exercise, factors that may affect health-related quality-of-life. The purpose of this cross-sectional study was to explore the impact of perceived exercise benefits and barriers, exercise outcome expectations, and depressive symptoms on polycystic ovary syndrome-specific health-related quality-of-life. METHODS: A survey link was posted on polycystic ovary syndrome Facebook groups. Women with polycystic ovary syndrome (n = 935) answered questionnaires about demographics, polycystic ovary syndrome-specific health-related quality-of-life, exercise benefits and barriers, exercise outcome expectations, and depressive symptoms. Data were collected using Qualtrics, transferred to SPSS, and statistically analyzed using regression analyses. Mean responses were reported for the questionnaires, with exercise benefits and barriers means divided for a ratio. RESULTS: Respondents were 32 ± 10.6 years of age, mostly White (72%), and employed full-time (65%). The total mean scores were health-related quality-of-life, 2.7 ± 0.1; exercise outcome expectation, 2.4 ± 0.8; and depressive symptoms, 12.4 ± 5.8. The benefit/barrier ratio was 0.9. HRQoL increased 0.32 points for every additional perceived exercise benefit and 0.61 points for every additional exercise outcome expectation (EOE). HRQoL was reduced by 1.19 points for every additional perceived exercise barrier and 2.82 points for every additional one-point increase of the depressive symptoms score. CONCLUSIONS: Respondents reported low health-related quality-of-life, greater exercise barriers than benefits, neutral exercise outcome expectations, and high depressive symptoms. These results suggest that promoting exercise benefits, overcoming exercise barriers, and addressing management of depressive symptoms are important foci of future efforts to improve health-related quality-of-life among women with polycystic ovary syndrome.

Voice-Activated Virtual Home Assistant Use and Social Isolation and Loneliness Among Older Adults: Mini Review.

A lack of social connectedness is common among older adults due to living alone, loss of loved ones, reduced mobility, and, more recently, social distancing created by the global Covid-19 pandemic. Older adults are vulnerable to social isolation and loneliness, which pose significant health risks comparable to those of smoking, obesity, physical inactivity, and high blood pressure. A lack of social connectedness is also correlated with higher mortality rates even when controlling for other factors such as age and comorbid conditions. The purpose of this mini review was to explore the emerging concepts of older adults' use of commercially available artificial intelligent virtual home assistants (VHAs; e.g., Amazon Echo, Google Nest), and its relationship to social isolation and loneliness. A secondary purpose was to identify potential areas for further research. Results suggest that VHAs are perceived by many older adult users as "companions" and improve social connectedness and reduce loneliness. Available studies are exploratory and descriptive and have limited generalizability due to small sample sizes, however, similar results were reported across several studies conducted in differing countries. Privacy concerns and other ethical issues and costs associated with VHA use were identified as potential risks to older adults' VHA adoption and use. Older adults who were using VHAs expressed the need and desire for more structured training on device use. Future research with stronger methods, including prospective, longitudinal, and randomized study designs are needed. Public education, industry standards, and regulatory oversight is required to mitigate potential risks associated with VHA use.

Resistance Training as Therapeutic Management in Women with PCOS: What is the Evidence?

Polycystic ovary syndrome (PCOS), the most common chronic endocrinopathy and the leading cause of infertility in women, has significant clinical consequences, including cardiovascular, endocrinological, oncological, and psychological co-morbidities. Endocrine Society Clinical Practice Guidelines on the Diagnosis and Treatment of PCOS recommend exercise and physical activity as first-line treatment to combat chronic disease risk. However, details about what type of exercise are not provided. Given the known beneficial effects of resistance training on the management of other chronic diseases, the purpose of this scoping review was to evaluate the scientific evidence about the physical and psychosocial effects of resistance training among women with PCOS. Studies were identified through a systematic search of PubMed, SPORTDiscus, and CINAHL databases. Peer-reviewed research studies published between January 2011 and January 2021 that evaluated a resistance training intervention for premenopausal women with PCOS were included. Studies that offered multi-component programs were excluded. Nine articles met the inclusion criteria of which seven were sub-studies of one larger clinical trial. One article reported findings from a small randomized controlled trial and the last article reported feasibility study findings. Each intervention yielded positive results across a wide range of outcome variables; however, the studies had small sample sizes and assessed different outcome variables. Evidence regarding the effects of resistance training on health outcomes for women with PCOS is positive but preliminary. Adequately powered clinical trials are required to confirm health benefits, answer research questions as to therapeutic dose, and discover behavioral strategies to promote resistance training for therapeutic management.

Medication Adherence Reminder System for Virtual Home Assistants: Mixed Methods Evaluation Study.

BACKGROUND: Medication nonadherence is a global public health challenge that results in suboptimal health outcomes and increases health care costs. Forgetting to take medicines is one of the most common reasons for unintentional medication nonadherence. Research findings indicate that voice-activated virtual home assistants, such as Amazon Echo and Google Home devices, may be useful in promoting medication adherence. OBJECTIVE: This study aims to create a medication adherence app (skill), MedBuddy, for Amazon Echo devices and measure the use, usability, and usefulness of this medication-taking reminder skill. METHODS: A single-group, mixed methods, cohort feasibility study was conducted with women who took oral contraceptives (N=25). Participants were undergraduate students (age: mean 21.8 years, SD 6.2) at an urban university in the Southeast United States. Participants were given an Amazon Echo Dot with MedBuddy-a new medication reminder skill for Echo devices created by our team-attached to their study account, which they used for 60 days. Participants self-reported their baseline and poststudy medication adherence. MedBuddy use was objectively evaluated by tracking participants' interactions with MedBuddy through Amazon Alexa. The usability and usefulness of MedBuddy were evaluated through a poststudy interview in which participants responded to both quantitative and qualitative questions. RESULTS: Participants' interactions with MedBuddy, as tracked through Amazon Alexa, only occurred on half of the study days (mean 50.97, SD 29.5). At study end, participants reported missing their medication less in the past 1 and 6 months compared with baseline (χ21=0.9 and χ21=0.4, respectively; McNemar test: P<.001 for both). However, there was no significant difference in participants' reported adherence to consistently taking medication within the same 2-hour time frame every day in the past 1 or 6 months at the end of the study compared with baseline (χ21=3.5 and χ21=0.4, respectively; McNemar test: P=.63 and P=.07, respectively). Overall feedback about usability was positive, and participants provided constructive feedback about the skill's features that could be improved. Participants' evaluation of MedBuddy's usefulness was overwhelmingly positive-most (15/23, 65%) said that they would continue using MedBuddy as a medication reminder if provided with the opportunity and that they would recommend it to others. MedBuddy features that participants enjoyed were an external prompt separate from their phone, the ability to hear the reminder prompt from a separate room, multiple reminders, and verbal responses to prompts. CONCLUSIONS: The findings of this feasibility study indicate that the MedBuddy medication reminder skill may be useful in promoting medication adherence. However, the skill could benefit from further usability enhancements.