ABSTRACT
BACKGROUND: Text messaging has emerged as a popular strategy to engage patients after hospital discharge. Little is known about how patients use these programs and what types of needs are addressed through this approach. OBJECTIVE: The goal of this study was to describe the types and timing of postdischarge needs identified during a 30-day automated texting program. METHODS: The program ran from January to August 2021 at a primary care practice in Philadelphia. In this mixed-methods study, two reviewers conducted a directed content analysis of patient needs expressed during the program, categorizing them along a well-known transitional care framework. We describe the frequency of need categories and their timing relative to discharge. RESULTS: A total of 405 individuals were enrolled; the mean (SD) age was 62.7 (16.2); 64.2% were female; 47.4% were Black; and 49.9% had Medicare insurance. Of this population, 178 (44.0%) expressed at least one need during the 30-day program. The most frequent needs addressed were related to symptoms (26.8%), coordinating follow-up care (20.4%), and medication issues (15.7%). The mean (SD) number of days from discharge to need was 10.8 (7.9); there were no significant differences in timing based on need category. CONCLUSIONS: The needs identified via an automated texting program were concentrated in three areas relevant to primary care practice and within nursing scope of practice. This program can serve as a model for health systems looking to support transitions through an operationally efficient approach, and the findings of this analysis can inform future iterations of this type of program.
ABSTRACT
Importance: Postdischarge outreach from the primary care practice is an important component of transitional care support. The most common method of contact is via telephone call, but calls are labor intensive and therefore limited in scope. Objective: To test whether a 30-day automated texting program to support primary care patients after hospital discharge reduces acute care revisits. Design, Setting, and Participants: A 2-arm randomized clinical trial was conducted from March 29, 2022, through January 5, 2023, at 30 primary care practices within a single academic health system in Philadelphia, Pennsylvania. Patients were followed up for 60 days after discharge. Investigators were blinded to assignment, but patients and practice staff were not. Participants included established patients of the study practices who were aged 18 years or older, discharged from an acute care hospitalization, and considered medium to high risk for adverse health events by a health system risk score. All analyses were conducted using an intention-to-treat approach. Intervention: Patients in the intervention group received automated check-in text messages from their primary care practice on a tapering schedule for 30 days following discharge. Any needs identified by the automated messaging platform were escalated to practice staff for follow-up via an electronic medical record inbox. Patients in the control group received a standard transitional care management telephone call from their practice within 2 business days of discharge. Main Outcomes and Measures: The primary study outcome was any acute care revisit (readmission or emergency department visit) within 30 days of discharge. Results: Of the 4736 participants, 2824 (59.6%) were female; the mean (SD) age was 65.4 (16.5) years. The mean (SD) length of index hospital stay was 5.5 (7.9) days. A total of 2352 patients were randomized to the intervention arm and 2384 were randomized to the control arm. There were 557 (23.4%) acute care revisits in the control group and 561 (23.9%) in the intervention group within 30 days of discharge (risk ratio, 1.02; 95% CI, 0.92-1.13). Among the patients in the intervention arm, 79.5% answered at least 1 message and 41.9% had at least 1 need identified. Conclusions and Relevance: In this randomized clinical trial of a 30-day postdischarge automated texting program, there was no significant reduction in acute care revisits. Trial Registration: ClinicalTrials.gov Identifier: NCT05245773.
Subject(s)
Patient Discharge , Text Messaging , Humans , Female , Male , Aftercare , Delivery of Health Care , Hospitals , PhiladelphiaABSTRACT
Importance: Advancing equitable patient-centered care in the Veterans Health Administration (VHA) requires understanding the differential experiences of unique patient groups. Objective: To inform a comprehensive strategy for improving VHA health equity through the comparative qualitative analysis of care experiences at the VHA among veterans of Black and White race and male and female sex. Design, Setting, and Participants: This qualitative study used a technique termed freelisting, an anthropologic technique eliciting responses in list form, at an urban academic VHA medical center from August 2, 2021, to February 9, 2022. Participants included veterans with chronic hypertension. The length of individual lists, item order in those lists, and item frequency across lists were used to calculate a salience score for each item, allowing comparison of salient words and topics within and across different groups. Participants were asked about current perceptions of VHA care, challenges in the past year, virtual care, suggestions for change, and experiences of racism. Data were analyzed from February 10 through September 30, 2022. Main Outcomes and Measures: The Smith salience index, which measures the frequency and rank of each word or phrase, was calculated for each group. Results: Responses from 49 veterans (12 Black men, 12 Black women, 12 White men, and 13 White women) were compared by race (24 Black and 25 White) and sex (24 men and 25 women). The mean (SD) age was 64.5 (9.2) years. Some positive items were salient across race and sex, including "good medical care" and telehealth as a "comfortable/great option," as were some negative items, including "long waits/delays in getting care," "transportation/traffic challenges," and "anxiety/stress/fear." Reporting "no impact" of racism on experiences of VHA health care was salient across race and sex; however, reports of race-related unprofessional treatment and active avoidance of race-related conflict differed by race (present among Black and not White participants). Experiences of interpersonal interactions also diverged. "Impersonal/cursory" telehealth experiences and the need for "more personal/attentive" care were salient among women and Black participants, but not men or White participants, who associated VHA care with courtesy and respect. Conclusions and Relevance: In this qualitative freelist study of veteran experiences, divergent experiences of interpersonal care by race and sex provided insights for improving equitable, patient-centered VHA care. Future research and interventions could focus on identifying differences across broader categories both within and beyond race and sex and bolstering efforts to improve respect and personalized care to diverse veteran populations.
Subject(s)
Health Equity , Veterans , Female , Humans , Male , Middle Aged , Academic Medical Centers , Black People , Veterans Health , Urban Population , Race Factors , Sex Factors , Veterans Health Services , Hospitals, Veterans , Black or African American , White , Qualitative ResearchABSTRACT
Background: Hypoglycaemia from diabetes treatment causes morbidity and lower quality of life, and prevention should be routinely addressed in clinical visits. Methods: This mixed methods study evaluated how primary care providers (PCPs) assess for and prevent hypoglycaemia by analyzing audio-recorded visits from five Veterans Affairs medical centres in the US. Two investigators independently coded visit dialogue to classify discussions of hypoglycaemia history, anticipatory guidance, and adjustments to hypoglycaemia-causing medications according to diabetes guidelines. Findings: There were 242 patients (one PCP visit per patient) and 49 PCPs. Two thirds of patients were treated with insulin and 40% with sulfonylureas. Hypoglycaemia history was discussed in 78/242 visits (32%). PCPs provided hypoglycaemia anticipatory guidance in 50 visits (21%) that focused on holding diabetes medications while fasting and carrying glucose tabs; avoiding driving and glucagon were not discussed. Hypoglycaemia-causing medications were de-intensified or adjusted more often (p < 0.001) when the patient reported a history of hypoglycaemia (15/51 visits, 29%) than when the patient reported no hypoglycaemia or it was not discussed (6/191 visits, 3%). Haemoglobin A1c (HbA1c) was not associated with diabetes medication adjustment, and only 5/12 patients (42%) who reported hypoglycaemia with HbA1c <7.0% had medications de-intensified or adjusted. Interpretation: PCPs discussed hypoglycaemia in one-third of visits for at-risk patients and provided limited hypoglycaemia anticipatory guidance. De-intensifying or adjusting hypoglycaemia-causing medications did not occur routinely after reported hypoglycaemia with HbA1c <7.0%. Routine hypoglycaemia assessment and provision of diabetes self-management education are needed to achieve guideline-concordant hypoglycaemia prevention. Funding: U.S. Department of Veterans Affairs and National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK).
ABSTRACT
Importance: In March 2020, the Substance Abuse and Mental Health Services Administration (SAMHSA) permitted states to relax restrictions on take-home methadone doses for treatment-adherent patients to minimize COVID-19 exposures. Objective: To assess whether the methadone take-home policy change was associated with drug overdose deaths among different racial, ethnic, and sex groups. Design, Setting, and Participants: Interrupted time series analysis from January 1, 2018, to June 30, 2022. Data analysis was conducted from February 18, 2023, to February 28, 2023. In this population-based cohort study of drug overdose mortality including 14â¯529 methadone-involved deaths, monthly counts of methadone-involved drug overdose deaths were obtained for 6 demographic groups: Hispanic men and women, non-Hispanic Black men and women, and non-Hispanic White men and women. Exposure: On March 16, 2020, in response to the first wave of the COVID-19 pandemic, SAMHSA issued an exemption to the states that permitted up to 28 days of take-home methadone for stable patients and 14 days for less stable patients. Main Outcome Measures: Monthly methadone-involved overdose deaths. Results: From January 1, 2018, to June 30, 2022 (54 months), there were 14â¯529 methadone-involved deaths in the United States; 14â¯112 (97.1%) occurred in the study's 6 demographic groups (Black men, 1234; Black women, 754; Hispanic men, 1061; Hispanic women, 520; White men, 5991; and White women, 4552). Among Black men, there was a decrease in monthly methadone deaths associated with the March 2020 policy change (change of slope from the preintervention period, -0.55 [95% CI, -0.95 to -0.15]). Hispanic men also experienced a decrease in monthly methadone deaths associated with the policy change (-0.42 [95% CI, -0.68 to -0.17]). Among Black women, Hispanic women, White men, and White women, the policy change was not associated with a change in monthly methadone deaths (Black women, -0.27 [95% CI, -1.13 to 0.59]; Hispanic women, 0.29 [95% CI, -0.46 to 1.04]; White men, -0.08 [95% CI, -1.05 to 0.88]; and White women, -0.43 [95% CI, -1.26 to 0.40]). Conclusions and Relevance: In this interrupted time series study of monthly methadone-involved overdose deaths, the take-home policy may have helped reduce deaths for Black and Hispanic men but had no association with deaths of Black or Hispanic women or White men or women.
Subject(s)
COVID-19 , Drug Overdose , Opiate Overdose , Humans , Male , Female , United States/epidemiology , Methadone , Sex Characteristics , Pandemics , Cohort Studies , Anti-Inflammatory Agents, Non-SteroidalABSTRACT
Diabetes is a serious chronic disease with high associated burden and disproportionate costs to communities based on socioeconomic, gender, racial, and ethnic status. Addressing the complex challenges of global inequity in diabetes will require intentional efforts to focus on broader social contexts and systems that supersede individual-level interventions. We codify and highlight best practice approaches to achieve equity in diabetes care and outcomes on a global scale. We outline action plans to target diabetes equity on the basis of the recommendations established by The Lancet Commission on Diabetes, organising interventions by their effect on changing the ecosystem, building capacity, or improving the clinical practice environment. We present international examples of how to address diabetes inequity in the real world to show that approaches addressing the individual within a larger social context, in addition to addressing structural inequity, hold the greatest promise for creating sustainable and equitable change that curbs the global diabetes crisis.
Subject(s)
Diabetes Mellitus , Ecosystem , Humans , Diabetes Mellitus/epidemiology , Diabetes Mellitus/therapy , Social EnvironmentABSTRACT
BACKGROUND: Unmet care needs among older adults accelerate cognitive and functional decline and increase medical harms, leading to poorer quality of life, more frequent hospitalizations, and premature nursing home admission. The Department of Veterans Affairs (VA) is invested in becoming an "Age-Friendly Health System" to better address four tenets associated with reduced harm and improved outcomes among the 4 million Veterans aged 65 and over receiving VA care. These four tenets focus on "4Ms" that are fundamental to the care of older adults, including (1) what Matters (ensuring that care is consistent with each person's goals and preferences); (2) Medications (only using necessary medications and ensuring that they do not interfere with what matters, mobility, or mentation); (3) Mentation (preventing, identifying, treating, and managing dementia, depression, and delirium); and (4) Mobility (promoting safe movement to maintain function and independence). The Safer Aging through Geriatrics-Informed Evidence-Based Practices (SAGE) Quality Enhancement Research Initiative (QUERI) seeks to implement four evidence-based practices (EBPs) that have shown efficacy in addressing these core tenets of an "Age-Friendly Health System," leading to reduced harm and improved outcomes in older adults. METHODS: We will implement four EBPs in 9 VA medical centers and associated outpatient clinics using a type III hybrid effectiveness-implementation stepped-wedge trial design. We selected four EBPs that align with Age-Friendly Health System principles: Surgical Pause, EMPOWER (Eliminating Medications Through Patient Ownership of End Results), TAP (Tailored Activities Program), and CAPABLE (Community Aging in Place - Advancing Better Living for Elders). Guided by the Pragmatic Robust Implementation and Sustainability Model (PRISM), we are comparing implementation as usual vs. active facilitation. Reach is our primary implementation outcome, while "facility-free days" is our primary effectiveness outcome across evidence-based practice interventions. DISCUSSION: To our knowledge, this is the first large-scale randomized effort to implement "Age-Friendly" aligned evidence-based practices. Understanding the barriers and facilitators to implementing these evidence-based practices is essential to successfully help shift current healthcare systems to become Age-Friendly. Effective implementation of this project will improve the care and outcomes of older Veterans and help them age safely within their communities. TRIAL REGISTRATION: Registered 05 May 2021, at ISRCTN #60,657,985. REPORTING GUIDELINES: Standards for Reporting Implementation Studies (see attached).
ABSTRACT
Objective: Evaluate self-reported electronic screening (eScreening) in a VA Transition Care Management Program (TCM) to improve the accuracy and completeness of administrative ethnicity and race data. Materials and Methods: We compared missing, declined, and complete (neither missing nor declined) rates between (1) TCM-eScreening (ethnicity and race entered into electronic tablet directly by patient using eScreening), (2) TCM-EHR (Veteran-completed paper form plus interview, data entered by staff), and (3) Standard-EHR (multiple processes, data entered by staff). The TCM-eScreening (n = 7113) and TCM-EHR groups (n = 7113) included post-9/11 Veterans. Standard-EHR Veterans included all non-TCM Gulf War and post-9/11 Veterans at VA San Diego (n = 92â921). Results: Ethnicity: TCM-eScreening had lower rates of missingness than TCM-EHR and Standard-EHR (3.0% vs 5.3% and 8.6%, respectively, P < .05), but higher rates of "decline to answer" (7% vs 0.5% and 1.2%, P < .05). TCM-EHR had higher data completeness than TCM-eScreening and Standard-EHR (94.2% vs 90% and 90.2%, respectively, P < .05). Race: No differences between TCM-eScreening and TCM-EHR for missingness (3.5% vs 3.4%, P > .05) or data completeness (89.9% vs 91%, P > .05). Both had better data completeness than Standard-EHR (P < .05), which despite the lowest rate of "decline to answer" (3%) had the highest missingness (10.3%) and lowest overall completeness (86.6%). There was strong agreement between TCM-eScreening and TCM-EHR for ethnicity (Kappa = .92) and for Asian, Black, and White Veteran race (Kappas = .87 to .97), but lower agreement for American Indian/Alaska Native (Kappa = .59) and Native Hawaiian/Other Pacific Islander (Kappa = .50) Veterans. Conculsions: eScreening is a promising method for improving ethnicity and race data accuracy and completeness in VA.
ABSTRACT
OBJECTIVE: The aim of this study was to evaluate the effectiveness of a digital health intervention plus community health worker (CHW) support on self-monitoring of blood glucose and glycosylated hemoglobin (HbA1c) among adult Medicaid beneficiaries with diabetes. DESIGN: Randomized controlled trial. SETTING: Urban outpatient clinic. PARTICIPANTS: Adult Medicaid beneficiaries living with diabetes and treated with insulin and who had a HbA1c ≥ 9%. INTERVENTION: Participants were randomly assigned to one of three arms. Participants in the usual-care arm received a wireless glucometer if needed. Those in the digital arm received a lottery incentive for daily glucose monitoring. Those in the hybrid arm received the lottery plus support from a CHW if they had low adherence or high blood glucose levels. MAIN MEASURES: The primary outcome was the difference in adherence to daily glucose self-monitoring at 3 months between the hybrid and usual-care arms. The secondary outcome was difference in HbA1c from baseline at 6 months. KEY RESULTS: A total of 150 participants were enrolled in the study. A total of 102 participants (68%) completed the study. At 3 months, glucose self-monitoring rates in the hybrid versus usual-care arms were 0.72 vs 0.65, p = 0.23. At 6 months, change in HbA1c in the hybrid versus usual-care arms was - 0.74% vs - 0.49%, p = 0.69. CONCLUSION: There were no statistically significant differences between the hybrid and usual care in glucose self-monitoring adherence or improvements in HbA1C. TRIAL REGISTRATION: This trial is registered with clinicaltrials.gov identifier: NCT03939793.
Subject(s)
Diabetes Mellitus, Type 2 , Diabetes Mellitus , Adult , Humans , Blood Glucose , Glycated Hemoglobin , Blood Glucose Self-Monitoring , Community Health Workers , Diabetes Mellitus, Type 2/therapyABSTRACT
Importance: Posthospital contact with a primary care team is an established pillar of safe transitions. The prevailing model of telephone outreach is usually limited in scope and operationally burdensome. Objective: To determine whether a 30-day automated texting program to support primary care patients after hospital discharge is associated with reductions in the use of acute care resources. Design, Setting, and Participants: This cohort study used a difference-in-differences approach at 2 academic primary care practices in Philadelphia from January 27 through August 27, 2021. Established patients of the study practices who were 18 years or older, were discharged from an acute care hospitalization, and received the usual transitional care management telephone call were eligible for the study. At the intervention practice, 604 discharges were eligible and 430 (374 patients, of whom 46 had >1 discharge) were enrolled in the intervention. At the control practice, 953 patients met eligibility criteria. The study period, including before and after the intervention, ran from August 27, 2020, through August 27, 2021. Exposure: Patients received automated check-in text messages from their primary care practice on a tapering schedule during the 30 days after discharge. Any needs identified by the automated messaging platform were escalated to practice staff for follow-up via an electronic medical record inbox. Main Outcomes and Measures: The primary study outcome was any emergency department (ED) visit or readmission within 30 days of discharge. Secondary outcomes included any ED visit or any readmission within 30 days, analyzed separately, and 30- and 60-day mortality. Analyses were based on intention to treat. Results: A total of 1885 patients (mean [SD] age, 63.2 [17.3] years; 1101 women [58.4%]) representing 2617 discharges (447 before and 604 after the intervention at the intervention practice; 613 before and 953 after the intervention at the control practice) were included in the analysis. The adjusted odds ratio (aOR) for any use of acute care resources after implementation of the intervention was 0.59 (95% CI, 0.38-0.92). The aOR for an ED visit was 0.77 (95% CI, 0.45-1.30) and for a readmission was 0.45 (95% CI, 0.23-0.86). The aORs for death within 30 and 60 days of discharge at the intervention practice were 0.92 (95% CI, 0.23-3.61) and 0.63 (95% CI, 0.21-1.85), respectively. Conclusions and Relevance: The findings of this cohort study suggest that an automated texting program to support primary care patients after hospital discharge was associated with significant reductions in use of acute care resources. This patient-centered approach may serve as a model for improving postdischarge care.
Subject(s)
Patient Discharge , Text Messaging , Humans , Female , Middle Aged , Patient Readmission , Aftercare , Cohort Studies , Delivery of Health Care , HospitalsABSTRACT
Importance: The burden of chronic kidney disease (CKD) and end-stage kidney disease falls disproportionately on Black individuals in the US, with Black veterans experiencing substantial consequences, and only a portion of the disparities in health conditions and health care can be explained by nonbiological factors. Among Black individuals, racism is likely one of those factors, suggesting the need to examine the consequences of racism and the resulting social structures that establish and perpetuate these racial disparities. Objective: To investigate the health care experiences of Black veterans with CKD and identify and explore the racial discrimination encountered by this vulnerable population. Design, Setting, and Participants: This qualitative study used semistructured interview guides to investigate the health care experiences of 36 Black veterans with CKD who received care at the Corporal Michael Crescenz Veterans Affairs Medical Center in Philadelphia, Pennsylvania, from October 2018 to September 2019. Interview transcripts were analyzed using applied thematic analysis. Results: Among 36 Black veterans with CKD who characterized racism in the context of their care at a Veterans Affairs medical center, the mean (SD) age was 66.0 (7.8) years; 35 participants (97.2%) were male, 1 participant (2.8%) was female, and 19 participants (52.8%) were married. The mean (SD) duration of military service was 8.0 (7.0) years. Overall, 15 participants (41.7%) were not dependent on dialysis, and hypertension was the most common comorbidity (9 participants [25.0%]). Veterans described the ways in which racism produced emotional and physical stress, including psychological symptoms (eg, anger and hurt) and physiological symptoms (eg, headaches). Veterans described a strong sense of distrust in the health care system coupled with a need to be hypervigilant during clinical encounters. When encountering racism, veterans described bottling up their feelings, which sometimes led to maladaptive behavior (eg, substance use). Veterans also described individual and collective positive strategies (eg, faith) for coping with the stress of racism. Conclusions and Relevance: In this study, Black veterans with CKD experienced racism in the clinical setting that produced physical and emotional stress and a strong sense of distrust in the health care system. These findings highlight an important opportunity for education and training of health care professionals in the implementation of trauma-informed approaches to care as a means of addressing race-based stress and trauma.
Subject(s)
Racism , Renal Insufficiency, Chronic , Veterans , Aged , Delivery of Health Care , Female , Humans , Male , Philadelphia , Racism/psychology , Renal Insufficiency, Chronic/therapyABSTRACT
OBJECTIVE: The purpose of this study was to evaluate barriers and facilitators to glycemic control and diabetes shared medical appointment (SMA) engagement in underserved patients with type 2 diabetes. METHODS: Semi-structured focus groups were conducted in 50 patients using an interview script guided by a social determinants of health (SDOH) conceptual framework. RESULTS: Patients positively perceived the social support and access to care benefits of the SMA. While barriers related to self-care behaviors (particularly diet), financial issues, and unreliable transportation were common, notable differences among the four groups existed. Controlled patients were motivated by fear of diabetic complications. Poorly-controlled patients discussed comorbidities and negative influence of family as barriers to glycemic control. Diabetes distress and fatalism were endorsed by poorlycontrolled, non-engaged patients. CONCLUSIONS: Overcoming SDOH including transportation barriers, food insecurity, and diabetes distress and fatalism are promising areas of intervention for SMA models to improve care for underserved populations.
Subject(s)
Diabetes Mellitus, Type 2 , Shared Medical Appointments , Diabetes Mellitus, Type 2/therapy , Glycemic Control , Humans , Social Determinants of Health , Vulnerable PopulationsABSTRACT
Background: Racial-ethnic inequity in type 1 diabetes technology use is well documented and contributes to disparities in glycemic and long-term outcomes. However, solutions to address technology inequity remain sparse and lack stakeholder input. Methods: We employed user-centered design principles to conduct workshop sessions with multidisciplinary panels of stakeholders, building off of our prior study highlighting patient-identified barriers and proposed solutions. Stakeholders were convened to review our prior findings and co-create interventions to increase technology use among underserved populations with type 1 diabetes. Stakeholders included type 1 diabetes patients who had recently onboarded to technology; endocrinology and primary care physicians; nurses; diabetes educators; psychologists; and community health workers. Sessions were recorded and analyzed iteratively by multiple coders for common themes. Results: We convened 7 virtual 2-h workshops for 32 stakeholders from 11 states in the United States. Patients and providers confirmed prior published studies highlighting patient barriers and generated new ideas by co-creating solutions. Common themes of proposed interventions included (1) prioritizing more equitable systems of offering technology, (2) using visual and hands-on approaches to increase accessibility of technology and education, (3) including peer and family support systems more, and (4) assisting with insurance navigation and social needs. Discussion: Our study furthers the field by providing stakeholder-endorsed intervention ideas that propose feasible changes at the patient, provider, and system levels to reduce inequity in diabetes technology use in type 1 diabetes. Multidisciplinary stakeholder engagement in disparities research offers unique insight that is impactful and acceptable to the target population.
Subject(s)
Diabetes Mellitus, Type 1 , Blood Glucose , Diabetes Mellitus, Type 1/therapy , Humans , Racial Groups , Stakeholder Participation , Technology , United StatesABSTRACT
BACKGROUND: Insulin-dependent diabetes is a challenging disease to manage and involves complex behaviors, such as self-monitoring of blood glucose. This can be especially challenging in the face of socioeconomic barriers and in the wake of the COVID-19 pandemic. Digital health self-monitoring interventions and community health worker support are promising and complementary best practices for improving diabetes-related health behaviors and outcomes. Yet, these strategies have not been tested in combination. This protocol paper describes the rationale and design of a trial that measures the combined effect of digital health and community health worker support on glucose self-monitoring and glycosylated hemoglobin. METHODS: The study population was uninsured or publicly insured; lived in high-poverty, urban neighborhoods; and had poorly controlled diabetes mellitus with insulin dependence. The study consisted of three arms: usual diabetes care; digital health self-monitoring; or combined digital health and community health worker support. The primary outcome was adherence to blood glucose self-monitoring. The exploratory outcome was change in glycosylated hemoglobin. CONCLUSION: The design of this trial was grounded in social justice and community engagement. The study protocols were designed in collaboration with frontline community health workers, the study aim was explicit about furthering knowledge useful for advancing health equity, and the population was focused on low-income people. This trial will advance knowledge of whether combining digital health and community health worker interventions can improve glucose self-monitoring and diabetes-related outcomes in a high-risk population.
ABSTRACT
Poor health conditions within immigration detention facilities have attracted significant concerns from policymakers and activists alike. There is no systematic data on the causes of hospitalizations from immigration detention facilities or their relative morbidity. The objective of this study, therefore, was to analyze the causes of hospitalizations from immigration detention facilities, as well as the percentage of hospitalizations necessitating ICU or intermediate-ICU (i.e, "step-down") admission and the types of surgical and interventional procedures conducted during these hospitalizations. We conducted a cross-sectional study of statewide adult (age 18 and greater) hospitalization data, with hospitalizations attributed to immigration facilities via payor designations (from Immigration and Customs Enforcement) and geospatial data in Texas and Louisiana from 2015-2018. Our analysis identified 5,215 hospitalizations of which 887 met inclusion criteria for analysis. Average age was 36 (standard deviation, 13.7), and 23.6% were female. The most common causes of hospitalization were related to infectious diseases (207, 23.3%) and psychiatric illness (147, 16.6%). 340 (38.3%) hospitalizations required a surgical or interventional procedure. Seventy-two (8.1%) hospitalizations required ICU admission and 175 (19.5%) required intermediate ICU. In this relatively young cohort, hospitalizations from immigration detention were accompanied with significant morbidity. Policymakers should mitigate the medical risks of immigration detention by improving access to medical and psychiatric care in facilities.
ABSTRACT
Although there are concerns regarding children's health in immigration detention, there are little data regarding hospitalizations in this population. Using 2015-2018 Texas inpatient data, we identified 95 hospitalizations of children in detention and found that most (60%) were driven by infectious causes, and that 37% of these children were admitted to an intensive care unit (ICU) or intermediate ICU.
Subject(s)
Emigration and Immigration , Hospitalization , Child , Humans , Intensive Care Units , Texas/epidemiologyABSTRACT
BACKGROUND: Peer narratives engage listeners through personally relevant content and have been shown to promote lifestyle change and effective self-management among patients with hypertension. Incorporating key quotations from these stories into follow-up text messages is a novel way to continue the conversation, providing reinforcement of health behaviors in the patients' daily lives. OBJECTIVE: In our previous work, we developed and tested videos in which African American Veterans shared stories of challenges and success strategies related to hypertension self-management. This study aims to describe our process for developing a text-messaging protocol intended for use after viewing videos that incorporate the voices of these Veterans. METHODS: We used a multistep process, transforming video-recorded story excerpts from 5 Veterans into 160-character texts. We then integrated these into comprehensive 6-month texting protocols. We began with an iterative review of story transcripts to identify vernacular features and key self-management concepts emphasized by each storyteller. We worked with 2 Veteran consultants who guided our narrative text message development in substantive ways, as we sought to craft culturally sensitive content for texts. Informed by Veteran input on timing and integration, supplementary educational and 2-way interactive assessment text messages were also developed. RESULTS: Within the Veterans Affairs texting system Annie, we programmed five 6-month text-messaging protocols that included cycles of 3 text message types: narrative messages, nonnarrative educational messages, and 2-way interactive messages assessing self-efficacy and behavior related to hypertension self-management. Each protocol corresponds to a single Veteran storyteller, allowing Veterans to choose the story that most resonates with their own life experiences. CONCLUSIONS: We crafted a culturally sensitive text-messaging protocol using narrative content referenced in Veteran stories to support effective hypertension self-management. Integrating narrative content into a mobile health texting intervention provides a low-cost way to support longitudinal behavior change. A randomized trial is underway to test its impact on the lifestyle changes and blood pressure of African American Veterans. TRIAL REGISTRATION: ClinicalTrials.gov NCT03970590; https://clinicaltrials.gov/ct2/show/NCT03970590. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/29423.
ABSTRACT
BACKGROUND: Compared to White patients in the United States, Black patients have a higher prevalence of hypertension and more severe forms of this condition. OBJECTIVE: To decrease racial disparities in blood pressure (BP) control among Black veterans with severe hypertension within a regional network of Veterans Affairs Medical Centers (VAMCs). METHODS: Health system leaders, clinicians, and health services researchers collaborated on a 12-month quality improvement (QI) project to: (1) examine project implementation and the QI strategies used to improve BP control and (2) assess the effect of the initiative on Black-White differences in BP control among veterans with severe hypertension. RESULTS: Within 9 participating VAMCs, the most frequently used QI strategies involved provider education (n=9), provider audit and feedback (n=8), and health care team change (n=7). Among 141,124 veterans with a diagnosis of hypertension, 9,913 had severe hypertension [2,533 (25.6%) Black and 7380 (74.4%) White]. Over the course of the project, the proportion of Black veterans with severe hypertension decreased from 7.5% to 6.6% (p=.002) and the racial difference in proportions for this condition decreased 0.9 percentage points, from 2.9% to 2.0% (p=.01). CONCLUSIONS: A multicenter, equity-focused QI project in VA reduced the proportion of Black veterans with severe hypertension and ameliorated observed racial disparities for this condition. Embedding health services researchers within a QI team facilitated an evaluation of the processes and effectiveness of our initiative, providing a successful model for QI within a learning health care system.
Subject(s)
Hypertension , Veterans , Blood Pressure , Humans , Hypertension/therapy , Racial Groups , United States , United States Department of Veterans AffairsABSTRACT
Background: Racial-ethnic disparities in diabetes technology use are well documented in young adults (YA) with type 1 diabetes (T1D), but modifiable targets for intervention still need to be identified. Our objective was to explore YA perspectives on technology access and support in routine clinical care. Materials and Methods: Participants were YA with T1D of Hispanic or non-Hispanic Black race-ethnicity from pediatric and adult endocrinology clinics in the Bronx, NY. We conducted semistructured individual interviews to explore how health care and personal experiences affected technology use. Interviews were audio-recorded and transcribed for analysis. We used a modified inductive coding approach with two independent coders and iterative coding processes to improve data reliability and validity. Results: We interviewed 40 YA with T1D: mean age 22 years; 62% female; 72% Medicaid insured; 72% Hispanic; 28% non-Hispanic Black; and mean hemoglobin A1C 10.3%. Themes were categorized into potentially exacerbating and alleviating factors of racial-ethnic disparities in technology use. Exacerbating factors included perceptions that providers were gatekeepers of information and prescription access to technology, providers did not employ shared decision making for use, and YA biases against technology were left unaddressed. Alleviating factors included provider optimism and tailoring of technology benefits to YA needs, and adequate Medicaid insurance coverage. Conclusions: Our results reveal potential intervention targets at the provider level to increase technology uptake among underrepresented YA with T1D. Diabetes health care providers need to be aware of inadvertent withholding of information and prescription access to technology. Provider approaches that address YA technology concerns and promote shared decision making help to mitigate racial/ethnic disparities in technology use.
Subject(s)
Diabetes Mellitus, Type 1 , Adult , Child , Ethnicity , Female , Healthcare Disparities , Humans , Male , Racial Groups , Reproducibility of Results , Technology , United States , Young AdultABSTRACT
Background: Recent studies highlight racial-ethnic disparities in insulin pump and continuous glucose monitor (CGM) use in people with type 1 diabetes (T1D), but drivers of disparities remain poorly understood beyond socioeconomic status (SES). Methods: We recruited a diverse sample of young adults (YA) with T1D from six diabetes centers across the United States, enrolling equal numbers of non-Hispanic (NH) White, NH Black, and Hispanic YA. We used multivariate logistic regression to examine to what extent SES, demographics, health care factors (care setting, clinic attendance), and diabetes self-management (diabetes numeracy, self-monitoring of blood glucose, and Self-Care Inventory score) explained insulin pump and CGM use in each racial-ethnic group. Results: We recruited 300 YA with T1D, aged 18-28 years. Fifty-two percent were publicly insured, and the mean hemoglobin A1c was 9.5%. Large racial-ethnic disparities in insulin pump and CGM use existed: 72% and 71% for NH White, 40% and 37% for Hispanic, and 18% and 28% for NH Black, respectively. After multiple adjustment, insulin pump and CGM use remained disparate: 61% and 53% for NH White, 49% and 58% for Hispanic, and 20 and 31% for NH Black, respectively. Conclusions: Insulin pump and CGM use was the lowest in NH Black, intermediate in Hispanic, and highest in NH White YA with T1D. SES was not the sole driver of disparities nor did additional demographic, health care, or diabetes-specific factors fully explain disparities, especially between NH Black and White YA. Future work should examine how minority YA preferences, provider implicit bias, systemic racism, and mistrust of medical systems help to explain disparities in diabetes technology use.