Njeru, Jane W.

ABSTRACT Introduction Community health workers (CHWs) help patients navigate community resources. CHW programs can improve health outcomes and reduce healthcare utilization, but identifying eligible patients is challenging. We developed an electronic health record (EHR)‐based algorithm trained to predict referrals to a CHW program. Our objective was to evaluate whether an algorithm trained on historical referrals identifies a subgroup of patients that differs from the subgroup identified through questionnaire‐based health‐related social needs (HRSN) screening alone. Methods This analysis used data from Mayo Clinic primary care patients in Southeast Minnesota. We developed a gradient boosted time‐to‐event model that incorporated demographics, diagnoses, HRSN questionnaire responses, and HRSNs derived from clinical notes using natural language processing. We compared the characteristics of algorithm‐identified patients with those identified through questionnaires and assessed the variable importance of model features. Results The algorithm had AUC: 0.87 in the training and 0.92 in the hold out set. Patients flagged by the algorithm tended to use interpreter services more commonly (12.6% vs. 1.3%), have a non‐English preferred language (14.1% vs. 2.3%), and have more instances of health literacy documented (5.36 vs. 1.29) compared to patients identified by the HRSN questionnaire. Only 47.0% of patients flagged by the algorithm had responded to the HRSN questionnaire within 2 years. Variable importance was highest for health literacy and financial strain from unstructured notes. Conclusions The algorithm is a chart‐review prioritization tool for referral to the CHW program for patients that may overcome challenges to identifying patients with HRSNs, especially when questionnaire data is incomplete.

Abstract Background Immigrants to the United States often face challenges from limited healthcare access and less healthy environments which contribute to rising obesity and cardiovascular risk. Purpose To assess the feasibility and effectiveness of a community-based social network intervention for cardiovascular risk reduction among Hispanic and Somali adults. Methods A social network-informed, community-based participatory research-derived health promotion intervention was delivered by Hispanic and Somali lay health promoters (HPs) to members of their social networks over 1 year (12 biweekly sessions in months 0-6; 12 biweekly check-ins in months 7-12). Using a closed-cohort stepped wedge cluster randomized design, social networks were randomly assigned to receive the intervention immediately or after a delay of 1 year. Measurements at baseline, 6 months, and 12 months were derived from 6 of the American Heart Association’s “Life’s Simple 7”: BMI, blood pressure, fasting glucose, cholesterol, physical activity and dietary quality (range 0-12, with higher values indicating lower cardiovascular risk). Waist circumference and proportion of participants who achieved >5% body weight loss were also assessed. Results Four hundred seventy-five participants were enrolled among 51 HPs (29 Hispanic; 22 Somali). There was a statistically significant improvement in cardiovascular risk in the intervention group (n = 246) compared with controls (n = 229) at 6 months (0.4 [1.8] vs. −0.1 [1.7]; P = .03) that was not sustained at 12 months (0.5 [1.9] vs. 0.3 [1.8]; P = .38). There was a statistically significant higher proportion of participants who lost >5% of body weight in the intervention group compared with controls at 12 months (37% [15] vs. 18% [7.9]; P = .02). Reductions in weight and waist circumference in the intervention group compared with controls did not achieve statistical significance. Conclusion A social network intervention, delivered by lay HPs was feasible and resulted in a modest improvement of cardiovascular risk and clinically significant weight loss. Clinical Trial Identification Number NCT05136339.

Objectives: To identify patient characteristics, health concerns, and barriers to care based on overweight or obesity. Methods: A 50-question anonymous survey was administered to patients. Data were compared by body mass index (BMI). Results: Among 3976 distributed surveys, 899 were returned and 682 were analyzed. Most respondents were women (60%), White (94%), and married/partnered (65%) and had some college education (80%). Younger and unmarried persons had higher BMI ( P < .001). Concern for quality of life ( P < .001) and importance of lifestyle changes ( P = .006) increased with BMI, but confidence in making changes decreased as BMI increased ( P < .001). Perceived good health decreased with increasing BMI ( P < .001), whereas depression and other comorbid conditions increased. Self-esteem decreased and stigma increased with higher BMI (both P < .001). Weight discussions with clinicians ( P < .001) and belief that clinicians should be involved in weight management ( P = .002) increased with BMI, yet self-perception of being judged by clinicians also increased ( P < .001). As BMI increased, delays in seeking health care increased ( P < .001). Conclusions: This survey study highlights perceived health concerns and barriers to care among persons with overweight and obesity. With higher BMI, self-esteem decreased, and stigma, self-perception of poor health, perception of being judged by clinicians, and delay in seeking medical care increased.

Importance Hispanic adults with type 2 diabetes (T2D) are more likely to develop complications and die from the disease than the US general population. Digital storytelling interventions are narrative-based videos elicited through a community-based participatory research approach to surface the authentic voices of participants overcoming obstacles to health-promoting behaviors that perpetuate health inequities; research on the effect of digital storytelling on T2D outcomes among Hispanic adults is lacking. Objective To assess the impact of a digital storytelling intervention on glycemic control and its acceptability among Hispanic patients with poorly controlled T2D. Design, Setting, and Participants This was a multicenter, randomized clinical trial conducted within 2 primary care networks in Minnesota and Arizona among Hispanic adults with poorly controlled T2D (hemoglobin A 1c level ≥8%). Enrollment and follow-up were conducted between February 14, 2019, and November 1, 2023. Intervention The intervention group viewed a 12-minute digital storytelling video. The video included 4 Spanish-language stories that reinforced 4 diabetes self-management behavioral goals (healthful diet for diabetes, physical activity, medication adherence, and glucose self-monitoring). The control group received printed, culturally tailored T2D education materials. Main Outcomes and Measures The primary outcome was the mean change from baseline to 3 months for hemoglobin A 1c levels, adjusting for baseline hemoglobin A 1c , age, gender, education, and income. Acceptability and narrative quality of the intervention were assessed through questionnaires. Results There were 451 study participants, with 227 (mean [SD] age, 54.3 [9.3] years; 158 [69.3%] women) randomized to the intervention group and 224 (mean [SD] age, 54.5 [9.1] years; 156 [69.3%] women) to the control group. Of these, 390 completed 3-month follow-up of the primary outcome (86% retention). There was a small improvement in the mean (SD) hemoglobin A 1c level in the intervention group compared with the control group in the adjusted model (9.1% [1.7] to 8.4% [1.6] vs 9.4% [1.8] to 8.8% [2.0]; P = .04] but not in the unadjusted model. Acceptability and narrative quality of the intervention were high. Conclusions and Relevance In this randomized clinical trial, a digital storytelling intervention developed with and for Hispanic adults with T2D was highly acceptable and feasibly implemented within primary care settings and resulted in a modest improvement of glycemic control. This was a highly scalable intervention that may be integrated into clinical practice as part of a longitudinal diabetes self-management program for Hispanic adults. Trial Registration ClinicalTrials.gov Identifier: NCT03766438

17 Background: Age-appropriate colon cancer screening has long demonstrated effectiveness in reducing colon cancer incidence and mortality. However, despite a gradual rise in compliance with colon cancer screening, significant disparities remain, particularly among patients with limited English proficiency (LEP). Multitarget stool DNA (MT-sDNA) testing (Exact Sciences, Madison, WI) has been available over the past decade in the United States as a lower-cost and non-invasive option for screening. In 2019, Exact Sciences began to offer patient navigation services comprising outbound phone, text, and e-mail reminders, and inbound phone support (>200 languages) with all MT-sDNA orders. In this study, we aimed to evaluate the disparity in successful MT-sDNA testing between LEP and EP patients in a time frame when patient navigation services were active. Methods: We performed a retrospective cohort study of patients 45-75 years old enrolled in the primary care setting of our institution who received an order for MT-sDNA screening during a period in which patient navigation services began to be offered. A multi-state Cox model was constructed with time to MT-sDNA or other CRC screening predicted by English proficiency accounting for age and gender. Wald tests were used to test the association of CRC screening completion and English proficiency. Rates of completion of MT-sDNA screening and other CRC screening following MT-sDNA test ordering were calculated using the Kaplan-Meier method. Results: Of the 5016 patients evaluated and referred for multitarget stool DNA testing from May 1st, 2021, and May 1st, 2022, 154 patients were of LEP, and 4862 were English proficient (EP). At 180 days following a MT-sDNA test order the rate of completion for the LEP patients was 50.2% (95% CI: 42.8-58.7%) versus 70.3% (95% 69.1-71.6%) for EP individuals (p=0.001). A small portion of individuals also completed another type of CRC screen, 3.3% for LEP and 2.5% for EP (p=0.99). Conclusions: This study is consistent with the existing research demonstrating LEP as a significant demographic group linked with decreased participation in cancer screening. Our findings indicated that despite the availability of patient navigation services, individuals with LEP were still less likely to complete an MT-sDNA test successfully when compared to those with EP. [Table: see text]

AbstractBackgroundSomali immigrants and refugees constitute one of the largest African ethnic groups immigrating to the United States over the past three decades with the majority resettling in the state of Minnesota. Previous studies have documented significant cancer screening disparities between the Somali population and the general population. However, little is known about cancer incidence among Somali groups living in the United States.MethodsWe determined the incidence of 18 types or sites of malignancy using ICD‐9 and ICD‐10 codes and compared them between Somali and non‐Somali populations in Olmsted County, Minnesota utilizing the Rochester Epidemiology Project medical records‐linkage infrastructure for the years 2000–2020. Poisson regression models were used to model the rates for each malignancy.ResultsThere was a higher incidence and relative risk of liver malignancies among the Somali population versus non‐Somali population, but lower relative risk and incidence of the following malignancies: breast, cervical, and melanoma. After direct age‐sex adjustment to the United States 2000 Census population, liver was the most common cancer in Somali men, while breast cancer was the most common malignancy in women.ConclusionMalignancies related to infectious agents such as viral hepatitis have a higher incidence in the Somali immigrant population of Olmsted County. There is a lower incidence of malignancies related to lifestyle factors in this Somali population. Findings of this study may help inform cancer prevention and screening strategies among Somali communities in the United States.

Purpose To examine the feasibility and acceptability of a social network weight loss intervention delivered by lay health promoters (HPs) to immigrant populations. Design Single-arm, non-randomized, pilot study of a social network weight loss intervention developed by a community-based participatory research partnership and delivered by HPs. Setting Community-based setting in Southeastern Minnesota, United States. Sample Somali and Hispanic immigrants to the United States: 4 social networks of adults (2 Hispanic and 2 Somali) with 39 network participants. Intervention Twelve-week behavioral weight loss intervention delivered by HPs (4 weeks in-person and then 8 weeks virtual). Measures Feasibility was assessed by recruitment and retention rates. Acceptability was assessed by surveys and focus groups with HPs and participants. Behavioral measures included servings of fruits and vegetables, drinking soda, and physical activity. Physiologic measures included weight, blood pressure, glucose, cholesterol, and triglycerides. Analysis Paired t-tests of pre- to post-intervention changes at the end of 12 weeks of treatment. Results Recruitment was feasible and post-intervention was 100%. Participants highly rated the intervention on satisfaction, motivation, and confidence to eat a healthy diet, be physically active, and lose weight. Participants were motivated by group social support and cohesion of their social networks. On average, participants lost weight (91.6 ± 15.9 to 89.7 ± 16.6 kg, P < .0001), lowered their systolic blood pressure (133.9±16.9 to 127.2 ± 15.8 mm Hg; P < .001), lowered their diastolic blood pressure (81 ± 9.5 to 75.8 ± 9.6 mm Hg; P < .0001), had more servings of vegetables per day (1.9 ± 1.2 to 2.6 ± 1.4; P < .001), and increased their physical activity (2690 ± 3231 to 6595 ± 7322 MET-minutes per week; P = .02). Conclusion This pilot study of 2 immigrant communities who participated in a peer-led weight loss social network intervention delivered during the COVID-19 pandemic demonstrated high feasibility and acceptability. Participants lost weight, improved their health status, and improved their health behaviors.

Objectives: This study was conducted to assess an intervention that was created by a community–academic partnership to address COVID-19 health inequities. We evaluated a community-engaged bidirectional pandemic crisis and emergency risk communication (CERC) framework with immigrant and refugee populations during the COVID-19 pandemic. Methods: A 17-year community-engaged research partnership adopted a CERC framework in March 2020 to address COVID-19 prevention, testing, and socioeconomic impacts with immigrant and refugee groups in southeast Minnesota. The partnership used bidirectional communication between communication leaders and their social networks to refine messages, leverage resources, and advise policy makers. We conducted a mixed-methods evaluation for intervention acceptability, feasibility, reach, adaptation, and sustainability through multisource data, including email communications, work group notes, semistructured interviews, and focus groups. Results: The intervention reached at least 39 000 people in 9 months. It was implemented as intended and perceived efficacy was high. Frequent communication between community and academic partners allowed the team to respond rapidly to concerns and facilitated connection of community members to resources. Framework implementation also led to systems and policy changes to meet the needs of immigrant and refugee populations. Conclusions: Community-engaged CERC is feasible and sustainable and can reduce COVID-19 disparities through shared creation and dissemination of public health messages, enhanced connection to existing resources, and incorporation of community perspectives in regional pandemic mitigation policies.