Sexuality and Cognitive Status: A U.S. Nationally Representative Study of Home‐Dwelling Older Adults

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146357/1/jgs15511.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146357/2/jgs15511_am.pd

Caring for dementia caregivers: How well does social risk screening reflect unmet needs?

Background: Unmet social and caregiving needs can make caregiving for a person with dementia more difficult. Although national policy encourages adoption of systematic screening for health-related social risks (HRSRs) in clinical settings, the accuracy of these risk-based screening tools for detecting unmet social needs is unknown. Methods: We used baseline data from dementia caregivers (N = 343) enrolled in a randomized controlled trial evaluating CommunityRx-Dementia, a social care intervention conducted on Chicago's South Side. We assessed caregivers' (1) unmet social and caregiving needs by querying need for 14 resource types and (2) HRSRs using the Center for Medicare & Medicaid Services (CMS) Accountable Health Communities (AHC) screening tool. Using unmet social needs as the reference, we examined the sensitivity of the AHC tool to detect food, housing, and transportation needs. Analyses were stratified by gender. Results: Most caregivers were women (78%), non-Hispanic (96%), Black (81%), partnered (58%) and had an annual household income ≥$50K (64%). Unmet social and caregiving needs were similarly prevalent among women and men caregivers (87% had ≥1 need, 43% had ≥5 needs). HRSRs were also prevalent. The most common HRSR was lack of social support (45%). Housing instability, difficulty with utilities and having any HRSRs were significantly more prevalent among women (all p Conclusions: Men and women caregivers have high rates of unmet social needs that are often missed by the CMS-recommended risk-based screening method. Findings indicate a role for need-based screening in implementing social care.</p

Periconceptional maternal alcohol consumption and neural tube defects

Neural tube defects (NTD)s, which occur when the neural tube fails to close during early gestation, are some of the most common birth defects worldwide. Alcohol is a known teratogen and has been shown to induce NTDs in animal studies, although most human studies have failed to corroborate these results. Using data from the National Birth Defects Prevention Study, associations between maternal reports of periconceptional (1 month prior through 2 months postconception) alcohol consumption and NTDs were examined

CommunityRx, a social care assistance intervention for family and friend caregivers delivered at the point of care: Two concurrent blinded randomized controlled trials

Background: CommunityRx is an evidence-based social care intervention delivered to family and friend caregivers (“caregivers”) at the point of healthcare to address health-related social risks (HRSRs). Two CommunityRx randomized controlled trials (RCTs) are being fielded concurrently on Chicago’s South Side, a predominantly African American/Black community. CommunityRx-Hunger is a double-blind RCT enrolling caregivers of hospitalized children. CommunityRx-Dementia is a single-blind RCT enrolling caregivers of community-residing people with dementia. RCTs with caregivers face recruitment barriers, including caregiver burden and lack of systematic strategies to identify caregivers in clinical settings. COVID-19 pandemic-related visitor restrictions exacerbated these barriers and prompted the need for iteration of the protocols from in-person to remote operations. This study describes these protocols and methods used for successful iteration to overcome barriers. Methods and findings: CommunityRx uses individual-level data to generate personalized, local community resource referrals for basic, health and caregiving needs. In early 2020, two in-person RCT protocols were pre-tested. In March 2020, when pandemic conditions prohibited face-to-face clinical enrollment, both protocols were iterated to efficient, caregiver-centered remote operations. Iterations were enabled in part by the Automated Randomized Controlled Trial Information-Communication System (ARCTICS), a trial management system innovation engineered to integrate the data collection database (REDCap) with community resource referral (NowPow) and SMS texting (Mosio) platforms. Enabled by engaged Community Advisory Boards and ARCTICS, both RCTs quickly adapted to remote operations. To accommodate these adaptations, launch was delayed until November (CommunityRx-Hunger) and December (CommunityRx-Dementia) 2020. Despite the delay, 65% of all planned participants (CommunityRx-Hunger n = 417/640; CommunityRx-Dementia n = 222/344) were enrolled by December 2021, halfway through our projected enrollment timeline. Both trials enrolled 13% more participants in the first 12 months than originally projected for in-person enrollment. Discussion: Our asset-based, community-engaged approach combined with widely accessible institutional and commercial information technologies facilitated rapid migration of in-person trials to remote operations. Remote or hybrid RCT designs for social care interventions may be a viable, scalable alternative to in-person recruitment and intervention delivery protocols, particularly for caregivers and other groups that are under-represented in traditional health services research. Trial registration: ClinicalTrials.gov: CommunityRx-Hunger (NCT04171999, 11/21/2019); CommunityRx for Caregivers (NCT04146545, 10/31/2019).</p

Perceived appropriateness of assessing for health-related socioeconomic risks among adult patients with cancer

Cancer treatment can trigger or exacerbate health-related socioeconomic risks (HRSR; food/housing insecurity, transportation/utilities difficulties, and interpersonal violence). The American Cancer Society and National Cancer Institute recommend HRSR screening and referral, but little research has examined the perceptions of patients with cancer on the appropriateness of HRSR screening in healthcare settings. We examined whether HRSR status, desire for assistance with HRSRs, and sociodemographic and health care-related factors were associated with perceived appropriateness of HRSR screening in health care settings and comfort with HRSR documentation in electronic health records (EHR). A convenience sample of adult patients with cancer at two outpatient clinics completed self-administered surveys. We used χ 2 and Fisher exact tests to test for significant associations. The sample included 154 patients (72% female, 90% ages 45 years or older). Thirty-six percent reported ≥1 HRSRs and 27% desired assistance with HRSRs. Overall, 80% thought it was appropriate to assess for HRSRs in health care settings. The distributions of HRSR status and sociodemographic characteristics were similar among people who perceived screening to be appropriate and those who did not. Participants who perceived screening as appropriate were three times as likely to report prior experience with HRSR screening (31% vs. 10%, P = 0.01). Moreover, 60% felt comfortable having HRSRs documented in the EHR. Comfort with EHR documentation of HRSRs was significantly higher among patients desiring assistance with HRSRs (78%) compared with those who did not (53%, P &lt; 0.01). While initiatives for HRSR screening are likely to be seen by patients with cancer as appropriate, concerns may remain over electronic documentation of HRSRs.SignificanceNational organizations recommend addressing HRSRs such as food/housing insecurity, transportation/utilities difficulties, and interpersonal violence among patients with cancer. In our study, most patients with cancer perceived screening for HRSRs in clinical settings as appropriate. Meanwhile, concerns may remain over the documentation of HRSRs in EHRs

Building and experimenting with an agent-based model to study the population-level impact of CommunityRx, a clinic-based community resource referral intervention

CommunityRx (CRx), an information technology intervention, provides patients with a personalized list of healthful community resources (HealtheRx). In repeated clinical studies, nearly half of those who received clinical “doses” of the HealtheRx shared their information with others (“social doses”). Clinical trial design cannot fully capture the impact of information diffusion, which can act as a force multiplier for the intervention. Furthermore, experimentation is needed to understand how intervention delivery can optimize social spread under varying circumstances. To study information diffusion from CRx under varying conditions, we built an agent-based model (ABM). This study describes the model building process and illustrates how an ABM provides insight about information diffusion through in silico experimentation. To build the ABM, we constructed a synthetic population (“agents”) using publicly-available data sources. Using clinical trial data, we developed empirically-informed processes simulating agent activities, resource knowledge evolution and information sharing. Using RepastHPC and chiSIM software, we replicated the intervention in silico, simulated information diffusion processes, and generated emergent information diffusion networks. The CRx ABM was calibrated using empirical data to replicate the CRx intervention in silico. We used the ABM to quantify information spread via social versus clinical dosing then conducted information diffusion experiments, comparing the social dosing effect of the intervention when delivered by physicians, nurses or clinical clerks. The synthetic population (N = 802,191) exhibited diverse behavioral characteristics, including activity and knowledge evolution patterns. In silico delivery of the intervention was replicated with high fidelity. Large-scale information diffusion networks emerged among agents exchanging resource information. Varying the propensity for information exchange resulted in networks with different topological characteristics. Community resource information spread via social dosing was nearly 4 fold that from clinical dosing alone and did not vary by delivery mode. This study, using CRx as an example, demonstrates the process of building and experimenting with an ABM to study information diffusion from, and the population-level impact of, a clinical information-based intervention. While the focus of the CRx ABM is to recreate the CRx intervention in silico, the general process of model building, and computational experimentation presented is generalizable to other large-scale ABMs of information diffusion.</p