Population and Quantitative Health Sciences Publications
ABOUT THIS COLLECTION
The vision of the Department of Population and Quantitative Health Sciences (PQHS) is the best health and well-being for all through science, community engagement, and education. Our mission is to advance science and improve population health. This collection showcases selected journal articles and other publications written by faculty and researchers of the Department of Population and Quantitative Health Sciences.
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Recently Published
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A mixed-methods study of VA video connect utilization among veterans with diabetes experiencing housing instability during the pandemicIntroduction: Prior to the coronavirus disease-2019 (COVID-19) pandemic the U.S. Department of Veterans Affairs (VA) had the largest telehealth program in the United States. The pandemic motivated providers within the VA to expand telehealth in effort to reduce disrupted care while mitigating risks. The pandemic provides a rare opportunity to examine how to better engage veterans experiencing housing instability (HI) in telehealth diabetes care. Methods: Mixed methods design to examine VA video connect (VVC) diabetes care utilization among veterans experiencing HI from March 1, 2019, to March 1, 2022, combining multivariable regression analyses of VA administrative data with semi-structured interviews. Study aims included: (a) examine changes in diabetes care delivery mode over the peri-pandemic timeframe; (b) identify sociodemographic and clinical characteristics associated with VVC care among veterans with HI; and (c) understand the facilitators and barriers of VVC utilization. Results: Totally, 5904 veterans were eligible for study analysis. Veterans who are female (OR: 1.63; 95% CI: 1.3, 2.0; p < 0.0001), self-identify as Hispanic (OR: 1.44; 95% CI: 1.1, 1.9; p = 0.02), are married (OR: 1.39; 95% CI: 1.2, 1.6; p < 0.0001), and are in VA priority group 1 (OR: 1.21; 95% CI 1.1, 1.4; p = 0.004) were more likely to use VVC the pandemic. Veterans of older age (OR: 0.97; 95% CI: 0.97, 0.98; p < .0001) and rural dwelling (OR: 0.85; 95% CI: 0.7, 1.2; p = 0.04), were less likely to use VVC. Thirteen VA providers and 15 veterans were interviewed. Veterans reported that decisions about using VVC were driven by limitations in in-person care availability, safety, and convenience. Discussion: Telehealth played an important role in providing veterans with HI access to diabetes care during the pandemic. Future interventions should seek to increase education and technology in effort to increase VVC uptake into routine diabetes care to ensure veterans' optimal and equitable access.
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Medicaid Accountable Care Organizations and Disparities in Pediatric Asthma CareImportance: Nearly 6 million children in the US have asthma, and over one-third of US children are insured by Medicaid. Although 23 state Medicaid programs have experimented with accountable care organizations (ACOs), little is known about ACOs' effects on longstanding insurance-based disparities in pediatric asthma care and outcomes. Objective: To determine associations between Massachusetts Medicaid ACO implementation in March 2018 and changes in care quality and use for children with asthma. Design, setting, and participants: Using data from the Massachusetts All Payer Claims Database from January 1, 2014, to December 31, 2020, we determined child-years with asthma and used difference-in-differences (DiD) estimates to compare asthma quality of care and emergency department (ED) or hospital use for child-years with Medicaid vs private insurance for 3 year periods before and after ACO implementation for children aged 2 to 17 years. Regression models accounted for demographic and community characteristics and health status. Data analysis was conducted between January 2022 and June 2024. Exposure: Massachusetts Medicaid ACO implementation. Main outcomes and measures: Primary outcomes were binary measures in a calendar year of (1) any routine outpatient asthma visit, (2) asthma medication ratio (AMR) greater than 0.5, and (3) any ED or hospital use with asthma. To determine the statistical significance of differences in descriptive statistics between groups, χ2 and t tests were used. Results: Among 376 509 child-year observations, 268 338 (71.27%) were insured by Medicaid and 73 633 (19.56%) had persistent asthma. There was no significant change in rates of routine asthma visits for Medicaid-insured child-years vs privately insured child-years post-ACO implementation (DiD, -0.4 percentage points [pp]; 95% CI, -1.4 to 0.6 pp). There was an increase in the proportion with AMR greater than 0.5 for Medicaid-insured child-years vs privately insured in the postimplementation period (DiD, 3.7 pp; 95% CI, 2.0-5.4 pp), with absolute declines in both groups postimplementation. There was an increase in any ED or hospital use for Medicaid-insured child-years vs privately insured postimplementation (DiD, 2.1 pp; 95% CI, 1.2-3.0 pp), an 8% increase from the preperiod Medicaid use rate. Conclusions and relevance: Introduction of Massachusetts Medicaid ACOs was associated with persistent insurance-based disparities in routine asthma visit rates; a narrowing in disparities in appropriate AMR rates due to reductions in appropriate rates among those with private insurance; and worsening disparities in any ED or hospital use for Medicaid-insured children with asthma compared to children with private insurance. Continued study of changes in pediatric asthma care delivery is warranted in relation to major Medicaid financing and delivery system reforms.
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Stopping use of E-cigarettes and smoking combustible cigarettes: findings from a large longitudinal digital smoking cessation intervention study in the United StatesObjective: Digital interventions have been widely implemented to promote tobacco cessation. However, implementations of these interventions have not yet considered how participants' e-cigarette use may influence their quitting outcomes. We explored the association of e-cigarette use and quitting smoking within the context of a study testing a digital tobacco cessation intervention among individuals in the United States who were 18 years and older, smoked combustible cigarettes, and enrolled in the intervention between August 2017 and March 2019. Results: We identified four e-cigarette user groups (n = 990) based on the participants' baseline and six-month e-cigarette use (non-users, n = 621; recently started users, n = 60; sustained users, n = 187; recently stopped users, n = 122). A multiple logistic regression was used to estimate the adjusted odds ratios (AOR) of six-month quit outcome and the e-cigarette user groups. Compared to e-cigarette non-users, the odds of quitting smoking were significantly higher among recently stopped users (AOR = 1.68, 95% CI [1.06, 2.67], p = 0.03). Participants who were most successful at quitting combustible cigarettes also stopped using e-cigarettes at follow-up, although many sustained using both products. Findings suggest that digital tobacco cessation interventions may carefully consider how to promote e-cigarette use cessation among participants who successfully quit smoking. Trial registration: ClinicalTrials.gov identifier NCT03224520 (July 21, 2017).
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Implementation strategies for decentralized management of multidrug-resistant tuberculosis: insights from community health systems in ZambiaBackground: Decentralized management approaches for multi-drug-resistant tuberculosis (MDR TB) have shown improved treatment outcomes in patients. However, challenges remain in the delivery of decentralized MDR TB services. Further, implementation strategies for effectively delivering the services in community health systems (CHSs) in low-resource settings have not been fully described, as most strategies are known and effective in high-income settings. Our research aimed to delineate the specific implementation strategies employed in managing MDR TB in Zambia. Methods: Our qualitative case study involved 112 in-depth interviews with a diverse group of participants, including healthcare workers, community health workers, patients, caregivers, and health managers in nine districts. We categorized implementation strategies using the Expert Recommendations for Implementing Change (ERIC) compilation and later grouped them into three CHS lenses: programmatic, relational, and collective action. Results: The programmatic lens comprised four implementation strategies: (1) changing infrastructure through refurbishing and expanding health facilities to accommodate management of MDR TB, (2) adapting and tailoring clinical and diagnostic services to the context through implementing tailored strategies, (3) training and educating health providers through ongoing training, and (4) using evaluative and iterative strategies to review program performance, which involved development and organization of quality monitoring systems, as well as audits. Relational lens strategies were (1) providing interactive assistance through offering local technical assistance in clinical expert committees and (2) providing support to clinicians through developing health worker and community health worker outreach teams. Finally, the main collective action lens strategy was engaging consumers; the discrete strategies were increasing demand using community networks and events and involving patients and family members. Conclusion: This study builds on the ERIC implementation strategies by stressing the need to fully consider interrelations or embeddedness of CHS strategies during implementation processes. For example, to work effectively, the programmatic lens strategies need to be supported by strategies that promote meaningful community engagement (the relational lens) and should be attuned to strategies that promote community mobilization (collective action lens).
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A Clinician and Electronic Health Record Wearable Device Intervention to Increase Physical Activity in Patients With Obesity: Formative Qualitative StudyBackground: The number of individuals using digital health devices has grown in recent years. A higher rate of use in patients suggests that primary care providers (PCPs) may be able to leverage these tools to effectively guide and monitor physical activity (PA) for their patients. Despite evidence that remote patient monitoring (RPM) may enhance obesity interventions, few primary care practices have implemented programs that use commercial digital health tools to promote health or reduce complications of the disease. Objective: This formative study aimed to assess the perceptions, needs, and challenges of implementation of an electronic health record (EHR)-integrated RPM program using wearable devices to promote patient PA at a large urban primary care practice to prepare for future intervention. Methods: Our team identified existing workflows to upload wearable data to the EHR (Epic Systems), which included direct Fitbit (Google) integration that allowed for patient PA data to be uploaded to the EHR. We identified pictorial job aids describing the clinical workflow to PCPs. We then performed semistructured interviews with PCPs (n=10) and patients with obesity (n=8) at a large urban primary care clinic regarding their preferences and barriers to the program. We presented previously developed pictorial aids with instructions for (1) providers to complete an order set, set step-count goals, and receive feedback and (2) patients to set up their wearable devices and connect them to their patient portal account. We used rapid qualitative analysis during and after the interviews to code and develop key themes for both patients and providers that addressed our research objective. Results: In total, 3 themes were identified from provider interviews: (1) providers' knowledge of PA prescription is focused on general guidelines with limited knowledge on how to tailor guidance to patients, (2) providers were open to receiving PA data but were worried about being overburdened by additional patient data, and (3) providers were concerned about patients being able to equitably access and participate in digital health interventions. In addition, 3 themes were also identified from patient interviews: (1) patients received limited or nonspecific guidance regarding PA from providers and other resources, (2) patients want to share exercise metrics with the health care team and receive tailored PA guidance at regular intervals, and (3) patients need written resources to support setting up an RPM program with access to live assistance on an as-needed basis. Conclusions: Implementation of an EHR-based RPM program and associated workflow is acceptable to PCPs and patients but will require attention to provider concerns of added burdensome patient data and patient concerns of receiving tailored PA guidance. Our ongoing work will pilot the RPM program and evaluate feasibility and acceptability within a primary care setting.
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Pediatric and Adolescent Hypertension: A Multidisciplinary Call to ActionHeightened awareness and the rising prevalence of hypertension in children and adolescents has brought pediatric hypertension to the forefront of pediatric primary care. It has also made clear the need for public health programs and evidence-based lifestyle interventions to effectively prevent and manage this condition in youth. However, given that the ultimate aim of such efforts is to reduce rates of adult cardiovascular disease, how to best measure their success during childhood is unclear. In this perspective, we describe current challenges and gaps in research related to this dilemma while highlighting the need for multidisciplinary collaboration between pediatric primary care providers, researchers, public health practitioners, and hypertension experts to move toward effective prevention and management of this condition.
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Treatment mechanism and outcome decoupling effects in cognitive therapy, mindfulness-based stress reduction, and behavior therapy for chronic painFindings suggest that cognitive therapy (CT), mindfulness-based stress reduction (MBSR), and behavior therapy (BT) for chronic pain produce improvements through changes in putative mechanisms. Evidence supporting this notion is largely based on findings showing significant associations between treatment mechanism variables and outcomes. An alternative view is that treatments may work by reducing or decoupling the impact of changes in mechanism variables on changes in outcomes. We examined the degree to which relationships between previous changes in potential treatment mechanisms and subsequent changes in outcomes changed as treatment progressed and vice versa. Cognitive therapy, MBSR, BT, and treatment as usual (TAU) were compared in people with chronic low back pain (N = 521). Eight individual sessions were administered with weekly assessments of putative treatment mechanisms and outcomes. Lagged analyses revealed mechanism × session number interactions and outcome × session number interactions, such that associations between mechanism and outcome variables were strong and significant in the first third of treatment, but weakened over time and became nonsignificant by the last third of treatment. These effects were similar across treatment conditions but did not emerge among people undergoing TAU. Results suggest that during the course of CT, MBSR, and BT, the links between changes in treatment mechanism variables became decoupled from subsequent changes in outcomes and vice versa. Thus, starting by midtreatment and continuing into late treatment, participants may have learned through participation in the treatments that episodes of maladaptive pain-related thoughts and/or spikes in pain need not have detrimental consequences on their subsequent experience.
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Effect of multi-level social risk factors on developmental trajectories of sexual risk behaviors among Bahamian middle-to-late adolescentsBackground: Few studies have examined how multi-level social factors interact and affect developmental patterns of sexual risk among middle-to-late adolescents who are at risk of experiencing sexual risk behaviors. We examined developmental trajectories of sexual risk behaviors of boys and girls in middle-to-late adolescence and the effects of exposure to three social risk factors (poor parental monitoring, peer risk, and neighborhood risk). Methods: We followed 2,332 Bahamian adolescents every six months from Grades 10-12. We used group-based trajectory modeling to identify distinct trajectories of sexual risk behaviors for boys and girls. Results: We identified three trajectories each for boys and girls. Peer risk and neighborhood risk predicted a high sexual-risk trajectory for boys, and peer risk (alone or combined with other risk factors) had the greatest impact on the membership of moderate-to-high-risk trajectory for girls. Parental monitoring had a relatively small effect on adolescents' sexual risk behavior. Conclusion: Our results underscore the importance of early identification of adolescents with sexual risk behavior and development of targeted prevention interventions to improve adolescent health outcomes.
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Implementing virtual desktops for clinical research at an academic health center: a case reportObjectives: To address the challenges of sharing clinical research data through the implementation of cloud-based virtual desktops, enhancing collaboration among researchers while maintaining data security. Materials and methods: This case study details the deployment of virtual desktops at UMass Chan Medical School (UMass Chan). The process involved forming a Research Informatics Steering Executive workgroup, identifying key requirements, implementing Amazon WorkSpaces, and establishing configurable data management for research support. Results: Key lessons include the significance of collaboration, balancing user-friendliness and functionality, flexibility in data management, maximizing virtual desktop efficiency within budget constraints, and continuous user feedback. The implementation of virtual desktops supports secure collaborative research, advancing medical knowledge and improving healthcare outcomes. Discussion: The structured approach to implementing virtual desktops addresses data security, regulatory compliance, and real-time collaboration challenges. Continuous feedback and iterative improvements have enhanced the system's effectiveness. Conclusion: The successful implementation of virtual desktops at UMass Chan demonstrates the potential for such systems to support secure, collaborative research, offering insights for similar initiatives in other academic health centers.
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Randomized non-inferiority trial comparing an asynchronous remotely-delivered versus clinic-delivered lifestyle interventionObjective: Lifestyle interventions are effective, but those delivered via in-person group meetings have poor scalability and reach. Research is needed to establish if remotely delivered lifestyle interventions are non-inferior to in-person delivered lifestyle interventions. Methods: We conducted a randomized non-inferiority trial (N = 329) to compare a lifestyle intervention delivered remotely and asynchronously via an online social network (Get Social condition) to one delivered via in-person groups (Traditional condition). We hypothesized that the Get Social condition would result in a mean percent weight loss at 12 months that was not inferior to the Traditional condition. Additional outcomes included intervention delivery costs per pound lost and acceptability (e.g., convenience, support, modality preferences). Results: At 12 months, no significant difference in percent weight change was observed between the Get Social and Traditional conditions (2.7% vs. 3.7%, p = 0.17) however, criteria for non-inferiority were not met. The Get Social condition costs $21.45 per pound lost versus $26.24 for the Traditional condition. A greater percentage of Get Social condition participants rated participation as convenient (65% vs 44%; p = 0.001). Conclusions: Results revealed a remotely-delivered asynchronous lifestyle intervention resulted in slightly less weight loss than an in-person version but may be more economical and convenient. Trial registration: ClinicalTrials.gov NCT02646618; https://clinicaltrials.gov/ct2/show/NCT02646618 .
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Effects of donor-engrafted clonal hematopoiesis in allogeneic and autologous stem cell transplantation: a systematic review and meta-analysisDonor stem cell health may be critically important to the success of hematopoietic stem cell transplantation (HSCT). Herein, we performed this systematic review and meta-analysis including meta-regression to assess the impact of donor-engrafted clonal hematopoiesis (CH) in allogeneic HSCT (allo-HSCT) and impact of pre-transplant CH in autologous HSCT (auto-HSCT). We applied random-effects models to analyze 5 allo-HSCT studies with 3192 donor-recipient pairs and 9 auto-HSCT studies with 2854 patients. We found that donor-engrafted CH after allo-HSCT decreased the risk of disease relapse [Hazard Ratio (HR) = 0.79, 95% Confidence Interval (CI): (0.67, 0.93)], but did not affect overall survival (OS) [HR = 0.91, 95% CI: (0.75, 1.11)], progression-free survival (PFS) [HR = 0.94, 95% CI: (0.63, 1.41)], or non-relapse mortality [HR = 1.06, 95% CI: (0.81, 1.39)]. In contrast, pre-transplant CH in auto-HSCT recipients resulted in inferior OS [HR = 1.30, 95% CI: (1.16, 1.46)], inferior PFS [HR = 1.35, 95% CI: (1.18, 1.54)], and higher risk for therapy-related myeloid neoplasm [HR = 4.85, 95% CI: (2.39, 9.82)] when compared to auto-HSCT recipients without CH. This study sheds light onto the debate about prospective "CHIP screening" for stem cell donors and addresses the impact of CH as a transmissible phenomenon.
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Handling Missing Data in COVID-19 Incidence Estimation: Secondary Data AnalysisBackground: The COVID-19 pandemic has revealed significant challenges in disease forecasting and in developing a public health response, emphasizing the need to manage missing data from various sources in making accurate forecasts. Objective: We aimed to show how handling missing data can affect estimates of the COVID-19 incidence rate (CIR) in different pandemic situations. Methods: This study used data from the COVID-19/SARS-CoV-2 surveillance system at the National Institute of Hygiene and Epidemiology, Vietnam. We separated the available data set into 3 distinct periods: zero COVID-19, transition, and new normal. We randomly removed 5% to 30% of data that were missing completely at random, with a break of 5% at each time point in the variable daily caseload of COVID-19. We selected 7 analytical methods to assess the effects of handling missing data and calculated statistical and epidemiological indices to measure the effectiveness of each method. Results: Our study examined missing data imputation performance across 3 study time periods: zero COVID-19 (n=3149), transition (n=1290), and new normal (n=9288). Imputation analyses showed that K-nearest neighbor (KNN) had the lowest mean absolute percentage change (APC) in CIR across the range (5% to 30%) of missing data. For instance, with 15% missing data, KNN resulted in 10.6%, 10.6%, and 9.7% average bias across the zero COVID-19, transition, and new normal periods, compared to 39.9%, 51.9%, and 289.7% with the maximum likelihood method. The autoregressive integrated moving average model showed the greatest mean APC in the mean number of confirmed cases of COVID-19 during each COVID-19 containment cycle (CCC) when we imputed the missing data in the zero COVID-19 period, rising from 226.3% at the 5% missing level to 6955.7% at the 30% missing level. Imputing missing data with median imputation methods had the lowest bias in the average number of confirmed cases in each CCC at all levels of missing data. In detail, in the 20% missing scenario, while median imputation had an average bias of 16.3% for confirmed cases in each CCC, which was lower than the KNN figure, maximum likelihood imputation showed a bias on average of 92.4% for confirmed cases in each CCC, which was the highest figure. During the new normal period in the 25% and 30% missing data scenarios, KNN imputation had average biases for CIR and confirmed cases in each CCC ranging from 21% to 32% for both, while maximum likelihood and moving average imputation showed biases on average above 250% for both CIR and confirmed cases in each CCC. Conclusions: Our study emphasizes the importance of understanding that the specific imputation method used by investigators should be tailored to the specific epidemiological context and data collection environment to ensure reliable estimates of the CIR.
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Exploring the social and cultural aspects of Chinese family caregivers' experience as they support loved ones with dementia transitioning into nursing homes: a qualitative study protocolIntroduction: Asian American caregivers supporting loved ones with dementia experience greater burden and more stress than other racial/ethnic groups, warranting the need for more culturally and linguistically appropriate formal support, such as in nursing homes. Transitioning loved ones into nursing homes with dementia care units is a complex process that can be impacted by a multitude of factors. Employing several established frameworks, including the socioecological model, this qualitative study will focus on the largest Asian American subgroup (people of Chinese descent) and explore the experience of family caregivers as they support the transition of their loved ones with dementia into nursing homes in the USA. Our focus will be on the nuanced influences of the Chinese language and culture and COVID-19-related social isolation and racial discrimination. Methods and analysis: Recruitment will take place starting in January 2024. Current or former Chinese caregivers for Chinese loved ones with dementia, able to communicate in Mandarin Chinese or English, and currently residing in the USA will be eligible. Key informants with intimate understanding and experience with this population will also be included. Data will be collected through 2024 using semistructured, in-depth interviews with each participant. Depending on participants' preferences, interviews will be conducted in either Mandarin Chinese or English and either in person, via Zoom or by phone. Interviews will be transcribed verbatim. Iterative thematic analysis will be employed. A coding structure will be developed based on interview questions and themes and patterns that are revealed through data immersion. Transcripts, prepared in their original language, will be dual-coded by bilingual researchers using NVivo 14. Consensus summaries of themes will be prepared. Relevant direct quotes for each thematic area will be identified (those in Chinese will be translated into English) and cited in reports and manuscripts. Ethics and dissemination: The study is approved by the UMass Chan Medical School Institutional Review Board (ID: STUDY00001376). Findings will be published in peer-review journals following the consolidated criteria for reporting qualitative research.
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Development of a family-level intervention for families with transgender and/or nonbinary youth: Lessons and recommendationsFamily support plays an important role in promoting resilience and health among transgender and/or nonbinary youth (TNBY), but family members often experience barriers to supporting their TNBY, including minority-adjacent stress stemming from exposure to structural stigma and antitransgender legislation. TNBY and their families need effective family-level interventions developed using community-based participatory research (CBPR), which integrates community members (e.g., TNBY, family members, service providers for families with TNBY) into the intervention development process to ensure the resulting intervention is relevant and useful. Informed by findings from the Trans Teen and Family Narratives Project, we used CBPR to develop the Trans Teen and Family Narratives Conversation Toolkit, a family-level intervention designed to educate families about TNBY and facilitate conversations about gender. The toolkit was developed across 1.5 years (June 2019 to January 2021) using four integrated phases: (1) content development: digital storytelling workshop with TNBY; (2) content review: digital storyteller interviews and user focus groups; (3) content development: study team content synthesis and website development; and (4) content review: website review by TNBY, family members, and mental health providers, and intervention refinement. This article outlines the intervention development process, describes strategies employed to navigate challenges encountered along the way, and shares key learnings to inform future CBPR intervention development efforts. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Preventing diabetes: What overweight and obese adults with prediabetes in the United States report about their providers' communication and attempted weight lossObjective: To investigate what overweight or obese adults with prediabetes in the United States report being told by providers about 1) having prediabetes, 2) diabetes risk, and 3) losing weight and the associations of these communications with attempted weight loss. Methods: Data from 2015 to 2018 National Health and Nutrition Examination Surveys (NHANES) for adults with a body mass index in the overweight or obesity ranges and HbA1c in the prediabetes range were examined (n = 2085). Patient reported data on what providers told them about having prediabetes, being at risk for diabetes, and losing weight were compared with attempted weight loss. Results: Most participants (66.4%) reported never being told they had prediabetes nor being at risk for diabetes, 13.0% reported being told they had prediabetes, 10.6% at risk for diabetes, and 8.0% both messages. 18.3% of participants reported being told to lose weight. Participants who reported being told they had prediabetes and at increased diabetes risk were more likely to report attempted weight loss (adjusted odds ratio (AOR) 1.8, 95% confidence interval (CI) 1.1-3.2). Reporting that they were told to lose weight was not significantly associated with an increase in reported weight loss attempts. Conclusions: In this cohort of individuals with overweight/obesity and prediabetic HbA1c values, low rates communications with providers about prediabetes and diabetes risk were reported. When both were discussed, patients reported greater attempted weight loss. These findings draw attention to the potential impact that provider communications about prediabetes and diabetes risk may have on lifestyle behavior change.
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SOGI Data Collection - Proceeding, but with CautionFor more than a decade, the Joint Commission has recommended the routine collection and use of sexual orientation and gender identity (SOGI) data as a way to help the medical community understand and address the disparities that lesbian, gay, bisexual, transgender, queer, and intersex (LGBTQI+) people experience throughout their lifetimes, and especially when seeking health care.... We believe health professionals and researchers need to proceed with SOGI data collection but should do so with caution.
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Barriers and facilitators to home blood pressure monitoring in women with pregnancies complicated by hypertensive disorders: a qualitative studyBackground/objective: Hypertensive disorders of pregnancy (HDP) are a major cause of maternal morbidity and mortality in the US. Improved diagnosis and treatment of HDP may be achieved through home blood pressure monitoring (HBPM). However, there are challenges to effective HBPM during pregnancy. This qualitative study was conducted to explore patients' perspectives and experiences with HBPM. Methods: Pregnant or recently postpartum women with HDP (≥18 years) were recruited from an academic medical center to virtual focus groups from March to September 2023. The discussions centered on experiences with HDP and barriers and facilitators to HBPM. Qualitative thematic analysis was performed. Results: Among 20 participants, the mean age was 33.8 (SD 5.9) years, with 35% Hispanic and 35% Black/African-American. Facilitators to HBPM included understanding the parameters/purpose of HBPM, prior experience with healthcare/duration of hypertension, free access to HBPM equipment and decision support, creating a routine, external support/counseling (e.g., partner/healthcare/family), and technology support. Barriers to HBPM included uncertainty/lack of training about the HBPM process, accessing/using HBPM equipment, the belief that clinic monitoring was sufficient/achieving good control, and activation barriers to making HBPM a priority (e.g., fear of affirming the diagnosis, higher priorities/life stressors). Conclusion: Many of the barriers to HBPM in pregnancy can be overcome through patient education/counseling, technology support, clinician/family reinforcement, and better access to validated blood pressure monitors. Given the importance of HBPM in improving outcomes for HDP, it is important for healthcare providers and policy makers to work to reduce barriers and amplify facilitators to HBPM for better adoption.
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The Impact of a Lifestyle Intervention on Cardiometabolic Risk Factors among Postpartum Hispanic Women with Overweight and Obesity in a Randomized Controlled Trial (Proyecto Mamá)Introduction: Maternal overweight or obesity has been associated with metabolic syndrome through 1 year postpartum, but it remains unknown whether a culturally-modified, motivationally-targeted, and individually-tailored Lifestyle Intervention could improve postpartum cardiometabolic health among Hispanic women with overweight or obesity. Methods: Proyecto Mamá was a randomized controlled trial conducted in Western Massachusetts from 2014 to 2020 in which Hispanic women with overweight/obesity were randomized to a Lifestyle Intervention (LI) involving diet and exercise or to a comparison Health and Wellness Intervention (HW). Biomarkers of cardiovascular risk (i.e., lipids, C-reactive protein) and insulin resistance (fasting insulin, glucose, HbA1c, homeostasis model assessment [HOMA-IR], leptin, adiponectin) were measured at baseline (early pregnancy), mid-pregnancy, and 6 weeks, 6 months, and 12 months postpartum. Generalized linear mixed effect models were used to evaluate differences in the change in biomarkers over the course of postpartum follow-up time. Results: In intent-to-treat analyses among eligible women (LI; n=51, HW; n=58) there were no significant differences in changes in biomarkers of CVD risk or insulin resistance over the postpartum year; for example, the intervention effect for total cholesterol was 6.98 (SE: 6.36, p=0.27) and for HbA1c was -0.01 (SE: 0.4, p=0.85). In pooled analyses, regardless of intervention arm, women who participated in any vigorous activity had less of an increase in HbA1c (intervention effect = -0.17, SE: 0.05, p=0.002) compared to those with no vigorous activity, and similarly beneficial associations with other cardiovascular risk biomarkers (p<0.05). Discussion: Women who participated in vigorous activity, regardless of their assigned intervention arm, had more favorable changes in biomarkers of insulin resistance.
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Factors associated with non-adherence to dual-energy x-ray absorptiometry screening during the COVID-19 pandemic in an academic medical centerThis study explored why some elderly females do not adhere to their bone density tests. It found that factors like age, race, marital status, insurance type, social vulnerability index, and vaccination status influence completion of these tests. Addressing these differences could improve the management of bone health in older adults. Purpose: This study investigated factors influencing the cancellation of dual-energy x-ray absorptiometry (DXA) scans among females aged 65 and above during the COVID-19 pandemic. Methods: Utilizing a dataset of 19,066 females from 2021 to 2023, the research employed chi-squared tests and logistic regression analyses to examine demographic, socio-economic, and health-related determinants of DXA scan adherence. Results: Key findings revealed that younger seniors, White patients, married individuals, those with commercial/private or Medicare insurance, and vaccinated persons were more likely to complete DXA scans. In contrast, Asian and African American females, along with those from higher Social Vulnerability Index areas, showed lower completion rates. Conclusion: These results highlight the need for tailored strategies to improve osteoporosis screening adherence, focusing on identified demographic groups to enhance overall healthcare outcomes in osteoporosis management.
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A pediatric primary care practice-based obesity intervention to support families: a cluster-randomized clinical trialObjective: The American Academy of Pediatrics recommends that pediatric practices help families make lifestyle changes to improve BMI, but provider time and access to treatment are limited. This study compared the effectiveness of two pediatric practice-based referral interventions in reducing BMI. Methods: In this cluster-randomized clinical trial, 20 pediatric primary care practices were randomized to telephonic coaching (Fitline Coaching) or mailed workbook (Fitline Workbook). Parents and their 8- to 12-year-old children with BMI ≥ 85th percentile completed assessments at baseline and at 6 and 12 months post baseline. Primary outcomes were 12-month BMI percentile and z score. Results: A total of 501 children and their parents received Fitline Coaching (n = 243) or Fitline Workbook (n = 258); 26.8% had overweight, 55.4% had obesity, and 17.8% had severe obesity. Mean (SD) age was 10.5 (1.4), and 47.5% were female. BMI percentile improved in both groups; 12-month decline in continuous BMI z score was not statistically significant in either group. However, 20.8% of telephonic coaching participants and 12.4% of workbook participants achieved a clinically significant reduction of at least 0.25 in BMI z score, a significant between-group difference (p = 0.0415). Conclusions: Both low-intensity interventions were acceptable and produced modest improvements in BMI percentile. One in five children in the telephonic coaching condition achieved clinically meaningful BMI z score improvements. However, more research is needed before such a program could be recommended for pediatric primary care practice.