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Background: Family caregivers of individuals with gynecologic cancer experience high levels of distress. Web-based caregiver support interventions have demonstrated efficacy in improving caregiver outcomes. However, the lack of portability could be a limitation. Mobile health (mHealth) apps could fill this gap and facilitate communication between patient-caregiver dyads., Objective: We sought to obtain information on desired usage and features to be used to design an mHealth self-management support app targeting both patients with gynecologic cancer and their caregivers., Methods: We conducted Zoom focus groups with women who had been treated for gynecologic cancers (ovarian, fallopian, primary peritoneal, uterine, endometrial, cervical, and vulvar); patients were also asked to invite a self-identified "closest support person" (caregiver). A semistructured focus group guide was used to elicit information on patients' and caregivers' perceived gaps in information and support, desired features of an mHealth app, and interest in and preferences for app usage. After transcription, rapid qualitative analysis using a thematic matrix was used to identify common themes across groups., Results: A total of 8 groups were held. The final sample included 41 individuals with gynecologic cancer and 22 support persons or caregivers (total n=63). Patients were aged between 32 and 84 years, and most (38/41, 93%) were White and married. For caregivers (n=22), 15 (68%) identified as male and 7 (32%) as female, with ages ranging between 19 and 81 years. Overall, 59% (n=13) of caregivers were spouses. Questions geared at eliciting 3 a priori topics yielded the following themes: topic 1-gaps in information and support: finding relevant information is time-consuming; patients and caregivers lack confidence in deciding the urgency of problems that arise and from whom to seek information and guidance; topic 2-desired features of the mHealth app: patients and caregivers desire centralized, curated, trustworthy information; they desire timely recommendations tailored to specific personal and cancer-related needs; they desire opportunities to interact with clinical and peer experts through the app; and topic 3-interest and preferences for app usage: need for private space in the app for patients and caregivers to get information and support without the others' knowledge; patients and caregivers desire having control over sharing of information with other family members., Conclusions: Designing a single mHealth app to be used by patients and caregivers presents unique challenges for intervention designers and app developers. Implications of the study suggest that app developers need to prioritize flexibility in app functionality and provide individuals the ability to control information sharing between patients and caregivers., (©Grace B Campbell, Hansol Kim, Tara C Klinedinst, Julie Klinger, Young Ji Lee, Heidi S Donovan. Originally published in JMIR Cancer (https://cancer.jmir.org), 03.10.2024.)

Purpose: Family caregivers (CGs) of individuals with cancer are increasingly relied upon to provide long-term, sometimes intense care, although their integration into clinical cancer care remains minimal. The Caregiver Advocacy, Research, and Education (CARE) Center is a novel nurse-led academic-clinical partnership to support family CGs of individuals with gynecologic cancer. This study aims to describe the implementation of the Center protocols and report metrics of CG needs and Center support., Materials and Methods: The Center's goals are to identify, assess, and provide tailored support to CGs. Initially, Center protocols included assessment of CGs' self-identified distress (distress thermometer, 0 = no distress to 10 = extreme distress) and needs (yes or no). Tailored support on the basis of CG distress was provided by in-person and remote staff who provided complementary, concurrent support based on CG need: evidence-based self-management guides, self-management support, referral to specialty services. Center documentation was analyzed to describe Center reach and CG distress., Results: From November 2019 to June 2023, CGs (N = 1,250) were identified through referrals, new patient outreach, and inpatient visits. Seven hundred and six CGs (56.5%) were assessed through a needs-based assessment, and 515 (41.2%) CGs received tailored support. CGs were mostly men (53.0%) and the mean distress was 4.4/10 (standard deviation, 3.1). CG distress was moderately associated with CG needs including maintaining emotional (ρ = 0.40; P < .001) and physical (ρ = 0.31; P < .001) health and managing patient symptoms (ρ = 0.33; P < .001)., Conclusion: Center protocols facilitate identification of high-need CGs within a cancer clinic. Future research will longitudinally evaluate the impact of Center protocols on CG and patient outcomes, incorporating updated assessment tools.

Background: Limited guidance exists for analyzing participant engagement in provider-guided digital health interventions (DHIs). System usage is commonly assessed, with acknowledged limitations in measuring socio-affective and cognitive aspects of engagement. Nurse WRITE, an 8-week web-based nurse-guided DHI for managing symptoms among women with recurrent ovarian cancer, offers an opportunity to develop a framework for assessing multidimensional engagement., Objective: This study aims to develop a conceptual and analytic framework to measure socio-affective, cognitive, and behavioral engagement with provider-guided DHIs. We then illustrate the framework's ability to describe and categorize engagement using Nurse WRITE as an example., Methods: A sample of 68 participants from Nurse WRITE who posted on the message boards were included. We adapted a prior framework for conceptualizing and operationalizing engagement across 3 dimensions and finalized a set of 6 distinct measures. Using patients' posts, we created 2 socio-affective engagement measures-total count of socio-affective engagement classes (eg, sharing personal experience) and total word count-and 2 cognitive engagement measures-total count of cognitive engagement classes (eg, asking information-seeking questions) and average question completion percentage. Additionally, we devised behavioral engagement measures using website data-the total count of symptom care plans and plan reviews. k-Means clustering categorized the participants into distinct groups based on levels of engagement across 3 dimensions. Descriptive statistics and narratives were used to describe engagement in 3 dimensions., Results: On average, participants displayed socio-affective engagement 34.7 times, writing 14,851 words. They showed cognitive engagement 19.4 times, with an average of 78.3% completion of nurses' inquiries. Participants also submitted an average of 1.6 symptom care plans and 0.7 plan reviews. Participants were clustered into high (n=13), moderate (n=17), and low engagers (n=38) based on the 6 measures. High engagers wrote a median of 36,956 (IQR 26,199-46,265) words. They demonstrated socio-affective engagement approximately 81 times and cognitive engagement around 46 times, approximately 6 times that of the low engagers and twice that of the moderate engagers. High engagers had a median of 91.7% (IQR 82.2%-93.7%) completion of the nurses' queries, whereas moderate engagers had 86.4% (IQR 80%-96.4%), and low engagers had 68.3% (IQR 60.1%-79.6%). High engagers completed a median of 3 symptom care plans and 2 reviews, while moderate engagers completed 2 plans and 1 review. Low engagers completed a median of 1 plan with no reviews., Conclusions: This study developed and reported an engagement framework to guide behavioral intervention scientists in understanding and analyzing participants' engagement with provider-guided DHIs. Significant variations in engagement levels across 3 dimensions highlight the importance of measuring engagement with provider-guided DHIs in socio-affective, cognitive, and behavioral dimensions. Future studies should validate the framework with other DHIs, explore the influence of patient and provider factors on engagement, and investigate how engagement influences intervention efficacy., (©Yan Wang, Annette DeVito Dabbs, Teresa Hagan Thomas, Grace Campbell, Heidi Donovan. Originally published in JMIR Formative Research (https://formative.jmir.org), 22.07.2024.)

Purpose: The impact of the social determinants of health (SDOH) on hospitalized cancer patients and hospital length of stay is unknown. At our institution, a hospital-wide SDOH survey that examined patient-specific barriers to various domains of SDOH and facilitated hospital discharge was integrated into the electronic medical record. This study reports the effect of the SDOH survey on length of stay for oncology patients and the outpatient referrals generated to facilitate the discharge., Methods: We examined length of stay index data on inpatient oncology patients and 2 comparator services (bone marrow transplant, internal medicine). We evaluated the length of stay using a 2-sample t test, and the rate of referrals per discharge using a 2-sample Poisson test., Results: Compared to the baseline length of stay, after the launch of the SDOH survey, there was a significant (8.9%) decrease in the average length of stay for oncology patients (8.14 to 7.41 days, P  = 0.004), the LOS decrease for the bone marrow transplant and subset was a nonsignificant trend only ( P  > 0.1). Average referrals per discharge increased from baseline 1.063 per discharge to 1.159 after implementation ( P  = 0.004), and the mean values increased by 9%., Conclusions: The SDOH survey tool assisted in a timely examination of patient-specific barriers to discharge, leveraged care coordination, and facilitated a safe hospital discharge. Such efforts increase the efficiency of health care service delivery in response to public health threats, such as the COVID-19 pandemic., (Copyright© Board of Regents of the University of Wisconsin System and The Medical College of Wisconsin, Inc.)

Background: Evidence suggests that frequent engagement in daily activities requiring physical activity may influence risk factors for recurrent stroke. The effects of nonpharmacological interventions on daily physical activity levels and sedentary behavior are unclear., Objective: To describe the effects of interventions on levels of daily physical activity and sedentary behavior among people with stroke., Methods: OVID/Medline, CINAHL, PsycINFO, and the Cochrane Database were searched using the following search terms: stroke, rehabilitation, intervention, sedentary, physical activity, lifestyle, self-management, and exercise. Data extraction and risk of bias assessment were conducted by two authors., Results: Thirty-one interventions were identified that included exercise, behavior change techniques, and education components. These components were delivered alone and in varying combinations. At postintervention, between-group effects on change scores (Cohen's d = 0.17-0.75, P < .05) or between-group differences in odds of participating in daily physical activity (odds ratio [OR] = 2.07, P < .05) were detected in six studies, and within-group effects in nine studies (Cohen's d = 0.21-3.97, P < .05). At follow-up, between-group differences in odds of participating in daily physical activity were detected in one study (OR = 2.64, P < .05), and within-group effects in two studies (Cohen's d = 0.25, P < .05). No effects (P < .05) were detected in 17 studies., Conclusion: It may be possible to modify daily physical activity levels and sedentary behavior poststroke; however, there is insufficient evidence to suggest the superiority of a particular intervention approach. Future studies should explore the unique contributions of individual intervention components to guide development of parsimonious multicomponent interventions that are effective for promoting daily physical activity and reducing sedentary behavior among people with stroke., Level of Evidence: I., (© 2019 American Academy of Physical Medicine and Rehabilitation.)

Purpose: Our aims were to evaluate evidence of risk factors for falls among patients in stroke rehabilitation and to offer recommendations for clinical practice and future research., Method: We conducted an integrative review of the literature published from 1990 to 2009 that describes empirical investigations of risk factors for post-stroke falls during inpatient rehabilitation. We searched Medline, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycInfo, and Embase databases, using the search terms "accidental falls,""fall risk,""risk factors,""risk assessment,""stroke," and "cerebrovascular disorders." We extracted information regarding study design, sample, potential risk factors, analytic methods, findings, and limitations from the 14 articles that met our inclusion criteria, and we rated the level of evidence for each study., Findings: Available empirical evidence points to impaired balance, visuospatial hemineglect, and impaired performance of activities of daily living as risk factors for falls during inpatient rehabilitation for stroke. Associations between falls and cognitive function, incontinence, visual field deficits, and stroke type were less clear, while relationships between falls and age, gender, stroke location, and impaired vision and hearing were not supported., Conclusions: The relatively sparse literature pertaining to risk factors for falls among stroke rehabilitation inpatients indicates that deficits affecting balance, perception, and self-care significantly increase the likelihood of falls. Particularly intriguing is the less well established role of post-stroke cognition in falls in this population. A conceptual model is needed to guide scientific inquiry and clinical practice in this area., Clinical Relevance: When clinicians in the inpatient stroke rehabilitation setting evaluate which patients are at greatest risk to fall, stroke-specific risk factors such as impaired balance, visuospatial hemineglect, and self-care deficits may be better predictors than more general risk factors such as age, incontinence, and sensory impairments. Patients with these stroke-specific deficits may benefit from the use of aggressive fall prevention interventions., (© 2010 Sigma Theta Tau International.)