The association of major adverse limb events and combination stent and atherectomy in patients undergoing revascularization for lower extremity peripheral artery disease.

BACKGROUND: The effectiveness of combined atherectomy and stenting relative to use of each procedure alone for the treatment of lower extremity peripheral artery disease has not been evaluated. AIMS: The objective of this study was to evaluate the short- and long-term major adverse limb event (MALE) following the receipt of stenting, atherectomy, and the combination of stent and atherectomy. METHODS: A retrospective cohort of patients undergoing atherectomy, stent, and combination stent atherectomy for lower extremity peripheral artery disease was derived from the Vascular Quality Initiative (VQI) data set. The primary outcome was MALE and was assessed in the short-term and long-term. Short-term MALE was assessed immediately following the procedure to discharge and estimated using logistic regression. Long-term MALE was assessed after discharge to end of follow-up and estimated using the Fine-Gray subdistribution hazard model. RESULTS: Among the 46,108 included patients, 6896 (14.95%) underwent atherectomy alone, 35,774 (77.59%) received a stent, and 3438 (7.5%) underwent a combination of stenting and atherectomy. The adjusted model indicated a significantly higher odds of short-term MALE in the atherectomy group (OR = 1.35; 95% confidence interval [CI]:1.16-1.57), and not significantly different odds (OR = 0.93; 95% CI:0.77-1.13) in the combination stent and atherectomy group when compared to stenting alone. With regard to long-term MALE, the model indicated that the likelihood of experiencing the outcome was slightly lower (HR = 0.90; 95% CI:0.82-0.98) in the atherectomy group, and not significantly different (HR = 0.92; 95% CI:0.82-1.04) in the combination stent and atherectomy group when compared to the stent group. CONCLUSIONS: Patients in the VQI data set who received combination stenting and atherectomy did not experience significantly different rates of MALE when compared with stenting alone. It is crucial to consider and further evaluate the influence of anatomical characteristics on treatment strategies and potential differential effects of comorbidities and other demographic factors on the short and long-term MALE risks.

Social determinants of health, substance use, and drug overdose prevention.

BACKGROUND: Fatal drug overdoses, now primarily driven by illicit opioids like fentanyl, continue to increase in the United States, reflecting a growing need for prevention and treatment strategies. Preventive interventions have primarily focused on curbing opioid prescribing, and treatment strategies target individuals. However, little is known about the broader social context surrounding these individuals. OBJECTIVE: This study examines the association between drug overdose mortality and social determinants of health (SDOH) across different levels of influence in the social-ecological model. METHODS: Data on drug overdose death and SDOH were collected at the county level for most mid-Atlantic states in 2019. Association between each characteristic and drug overdose mortality was measured through a bivariate analysis. Furthermore, a multivariate analysis was performed to detect risk factors of drug overdose death while adjusting for multiple comparisons. All statistical analyses were performed with SAS version 9.4. RESULTS: SDOH, including violent crime (P < 0.001), access to the Internet (P < 0.001), per capita income (P < 0.001), social vulnerability index (P = 0.001), and access to health care (P < 0.001), demonstrated a statistically significant positive association with drug overdose death. In contrast, vacancy rate was negatively associated with drug overdose mortality (P < 0.001). The association between drug overdose deaths and opioid prescription rates was not statistically significant (P = 0.412). CONCLUSION: Factors such as violent crime and social vulnerability demonstrated a statistically significant impact on drug overdose mortality. To address drug overdose crisis, health care system, community leaders, and policy makers' strategies should focus on socially vulnerable populations.

Opioid use disorder in pregnancy: leveraging provider perceptions to inform comprehensive treatment.

BACKGROUND: Medications for opioid use disorder (MOUD) are recommended with adjuvant behavioral therapies, counseling, and other services for comprehensive treatment of maternal opioid use disorder. Inadequate access to treatment, lack of prescribing providers and complex delivery models are among known barriers to care. Multi-disciplinary provider input can be leveraged to comprehend factors that facilitate or inhibit treatment. The objective of this study is to explore provider perceptions of MOUD and factors critical to comprehensive treatment delivery to improve the care of pregnant women with opioid use disorder. METHODS: A qualitative research approach was used to gather data from individual provider and group semi-structured interviews. Providers (n = 12) responded to questions in several domains related to perceptions of MOUD, treatment delivery, access to resources, and challenges/barriers. Data were collected, transcribed, coded (by consensus) and emerging themes were analyzed using grounded theory methodology. RESULTS: Emerging themes revealed persistent gaps in treatment and challenges in provider, health systems and patient factors. Providers perceived MOUD to be a "lifeline" to women. CONCLUSIONS: Inconsistencies in treatment provision, access and uptake can be improved by leveraging provider perceptions, direct experiences and recommendations for an integrated team-based, patient-centered approach to guide the care of pregnant women with opioid use disorder.

Consumer Health Information Technology in the Prevention of Substance Abuse: Scoping Review.

BACKGROUND: Addiction is one of the most rapidly growing epidemics that currently plagues nations around the world. In the United States, it has cost the government more than US $700 billion a year in terms of health care and other associated costs and is also associated with serious social, physical, and mental consequences. Increasing efforts have been made to tackle this issue at different levels, from primary prevention to rehabilitation across the globe. With the use of digital technology rapidly increasing, an effort to leverage the consumer health information technologies (CHITs) to combat the rising substance abuse epidemic has been underway. CHITs are identified as patient-focused technological platforms aimed to improve patient engagement in health care and aid them in navigating the complex health care system. OBJECTIVE: This review aimed to provide a holistic and overarching view of the breadth of research on primary prevention of substance abuse using CHIT conducted over nearly past five decades. It also aimed to map out the changing landscape of CHIT over this period. METHODS: We conducted a scoping review using the Arksey and O'Malley's modified methodological framework. We searched 4 electronic databases (PubMed, Cochrane, Scopus, and EMBASE). Papers were included if the studies addressed the use of CHIT for primary prevention of substance abuse and were published in English between 1809 and 2018. Studies that did not focus solely on primary prevention or assessed additional comorbid conditions were eliminated. RESULTS: Forty-two papers that met our inclusion criteria were included in the review. These studies were published between 1970 and 2018 and were not restricted by geography, age, race, or sex. The review mapped studies using the most commonly used CHIT platforms for substance abuse prevention from mass media in the 1970s to mobile and social media in 2018. Moreover, 191 studies that were exclusively focused on alcohol prevention were excluded and will be addressed in a separate paper. The studies included had diverse research designs although the majority were randomized controlled trials (RCT) or review papers. Many of the RCTs used interventions based on different behavioral theories such as family interactions, social cognitive theories, and harm-minimization framework. CONCLUSIONS: This review found CHIT platforms to be efficacious and cost-effective in the real-world settings. We also observed a gradual shift in the types and use of CHIT platforms over the past few decades and mapped out their progression. In addition, the review detected a shift in consumer preferences and behaviors from face-to-face interactions to technology-based platforms. However, the studies included in this review only focused on the aspect of primary prevention. Future reviews could assess the effectiveness of platforms for secondary prevention and for prevention of substance abuse among comorbid populations.

What motivates people with substance use disorders to pursue treatment? A patient-centered approach to understanding patient experiences and patient-provider interactions.

OBJECTIVES: To identify and define potential positive and negative factors in patient experiences and patient-provider interactions that are associated with the pursuit and maintenance of treatment by those suffering from substance use disorders (SUD). METHODS: Two focus groups with patients in treatment for SUD were performed. The focus groups focused on questions aimed at mapping factors associated with initiating and maintaining treatment along the transtheoretical model of change. Four in-depth interviews with healthcare providers involved in the treatment of patients with SUD were also conducted to understand providers' perspective on similar factors. RESULTS: Fourteen patients were included in the focus groups. Patients identified their life prior to treatment as chaotic and further identified internal and external factors that influenced seeking treatment. The four healthcare providers identified primarily social issues such as lack of housing as an external barrier. Both patients and providers cited the importance of a trusting and empathetic relationship between the patient and providers, as well as the patient's willingness to change as primary motivating factors for the initiation and maintenance of treatment. CONCLUSIONS: From a patient and provider perspective, facilitators and barriers for initiating and maintaining may vary by person and are multifactorial.

Tree-based Claims Algorithm for Measuring Pretreatment Quality of Care in Medicare Disabled Hepatitis C Patients.

BACKGROUND: To help broaden the use of machine-learning approaches in health services research, we provide an easy-to-follow framework on the implementation of random forests and apply it to identify quality of care (QC) patterns correlated with treatment receipt among Medicare disabled patients with hepatitis C virus (HCV). METHODS: Using Medicare claims 2006-2009, we identified 1936 patients with 6 months continuous enrollment before HCV diagnosis. We ran a random forest on 14 pretreatment QC indicators, extracted the forest's representative tree, and aggregated its terminal nodes into 4 QC groups predictive of treatment. To explore determinants of differential QC receipt, we compared patient-level and county-level (linked AHRF data) characteristics across QC groups. RESULTS: The strongest predictors of treatment included "liver biopsy," "HCV genotype testing," "specialist visit," "HCV viremia confirmation," and "iron overload testing." High QC [n=360, proportion treated (pt)=33.3%] was defined for patients with at least 2 from the above-mentioned metrics. Good QC patients (n=302, pt=12.3%) had either "HCV genotype testing" or "specialist visit," whereas fair QC (n=282, pt=7.1%) only had "HCV viremia confirmation." Low QC patients (n=992, pt=2.5%) had none of the selected metrics. The algorithm accuracy of predicting treatment was 70% sensitivity and 78% specificity. HIV coinfection, drug abuse, and residence in counties with higher supply of hospitals with immunization and AIDS services correlated with lower QC. CONCLUSIONS: Machine-learning techniques could be useful in exploring patterns of care. Among Medicare disabled HCV patients, the receipt of more QC indicators was associated with higher treatment rates. Future research is needed to assess determinants of differential QC receipt.

Predicting Factors of Depression, Antidepressant Use and Positive Response to Antidepressants in Perinatal and Postpartum Women.

BACKGROUND: In the United States, there is a disparity in knowledge of nationwide depression prevalence, the antidepressant use and the antidepressant responses during perinatal/postpartum periods. OBJECTIVE: This study investigated the predicting factors of depression, antidepressant use and positive antidepressant response during the perinatal/postpartum periods. METHOD: The 2007-2012 National Health and Nutrition Examination Surveys (NHANES) were combined to identify adult pregnant women, those within the 18-month postpartum period (n=492) and their depression statuses via demographics, health care accessibility, antidepressant use and illicit drug use information. The characteristics of different study groups were compared (depression versus no-depression groups, antidepressant users versus non-antidepressant users, and antidepressant responders versus antidepressant non-responders). Multivariable logistic regression analysis was used to predict factors of perinatal depression (PND)/ postpartum depression (PPD), antidepressant use and antidepressant positive response in PND/PPD. RESULTS: PND/PPD individuals had higher rates of mental health visits. No predicting factor for developing PND/PPD was shown. Antidepressant users were significantly older with insurance and recent health checkups/ mental visits. Being below the poverty level and having some health care accessibility are predictors for being on antidepressants. Recent non-illicit drug use is a predictor for PND/PPD symptom improvement while on antidepressants. CONCLUSION: The group of those with social-economic disadvantages was more likely to be on antidepressants for PND/PPD. Illicit drug users were less likely to show improvement with antidepressants. The safety and efficacy of antidepressant use during this period is controversial. More studies need to focus on the barriers involving antidepressant treatments, the safety and outcomes of antidepressants for PND/PPD management.

Contextual analysis of determinants of late diagnosis of hepatitis C virus infection in medicare patients.

UNLABELLED: Patient- and county-level characteristics associated with advanced liver disease (ALD) at hepatitis C virus (HCV) diagnosis were examined in three Medicare cohorts: (1) elderly born before 1945; (2) disabled born 1945-1965; and (3) disabled born after 1965. We used Medicare claims (2006-2009) linked to the Area Health Resource Files. ALD was measured over the period of 6 months before to 3 months after diagnosis. Using weighted multivariate modified Poisson regression to address generalizability of findings to all Medicare patients, we modeled the association between contextual characteristics and presence of ALD at HCV diagnosis. We identified 1,746, 3,351, and 592 patients with ALD prevalence of 28.0%, 23.0%, and 15.0% for birth cohorts 1, 2, and 3. Prevalence of drug abuse increased among younger birth cohorts (4.2%, 22.6%, and 35.6%, respectively). Human immunodeficiency virus coinfection (prevalence ratio [PR] = 0.63; 95% confidence interval [CI]: 0.50-0.80; P = 0.001), dual Medicare/Medicaid eligibility (PR = 0.89; 95% CI: 0.80-0.98; P = 0.017), residence in counties with higher median household income (PR = 0.82; 95% CI: 0.71-0.95; P = 0.008), higher density of primary care providers (PR = 0.84; 95% CI: 0.73-0.98; P = 0.022), and more rural health clinics (PR = 0.90; 0.81-1.01; P = 0.081) were associated with lower ALD risk. End-stage renal disease (PR = 1.41; 95% CI: 1.21-1.63; P = 0.001), alcohol abuse (PR = 2.57; 95% CI: 2.33-2.84; P = 0.001), hepatitis B virus (PR = 1.32; 95% CI: 1.09-1.59; P = 0.004), and Midwest residence (PR = 1.22; 95% CI: 1.05-1.41; P = 0.010) were associated with higher ALD risk. Living in rural counties with high screening capacity was protective in the elderly, but associated with higher ALD risk among the disabled born 1945-1965. CONCLUSIONS: ALD prevalence patterns were complex and were modified by race, elderly/disability status, and the extent of health care access and screening capacity in the county of residence. These study results help inform treatment strategies for HCV in the context of coordinated models of care.

Association between mental health and comorbid obesity and hypertension among children and adolescents in the US.

This paper examines the association between mental health and comorbid obesity and hypertension among US children and adolescents using data from the National Health and Nutritional Examination Survey (NHANES). Questionnaires from NHANES were used to assess mental health during the previous 30 days. Respondents were then categorized into two groups namely "poor mental health" and "good mental health" based on their responses to these survey questions. Three multiple logistic regression models, based on these categories, are estimated to compute the odds ratios and 95% confidence intervals in the association of obesity and hypertension and mental health. As a select example, the results of Model 2 reveal that compared with respondents who are not obese, obese respondents have increased odds (OR = 1.24; P < 0.0001) of poor mental health. Furthermore compared with non-hypertensive respondents, hypertensive respondents have higher odds (OR = 2.96; P < 0.0001) of poor mental health. These findings have important implications for mental health management in younger populations. It brings into focus the maintenance of a healthy body mass index and hypertension control in mitigating poor mental health.

Increased prevalence of obstructive lung disease in patients with obstructive sleep apnea.

STUDY PURPOSES: This study aims to determine whether there is an increased prevalence of obstructive lung diseases (OLDs) in patients with obstructive sleep apnea (OSA). We also determined whether among the OLD patients there is a difference in the prevalences of specific chronic disease co-morbidities between patients with and without OSA. METHODS: The prevalences of COPD, asthma, and COPD combined with asthma (ICD-9 coding) were compared between 1,497 adult OSA patients and 1,489 control patients, who were matched for age, gender, geographic location, and primary care physician. The prevalences of specific co-morbidities were measured in the OLD groups between patients with OSA and the matched control group. RESULTS: COPD, asthma, and COPD combined with asthma were found to be more prevalent among OSA patients compared to the matched controls. Prevalences among patients with and without OSA, respectively, were COPD-7.6 and 3.7 % (P<0.0001), asthma-10.4 and 5.1 % (P<0.0001), COPD plus asthma-3.3 and 0.9 % (P<0.0001). The Charlson Comorbidity Index was greater for OSA patients (2.3 ± 0.2) than for controls (1.9 ± 1.8; P<0.0001). These trends held for all severity ranges of OSA. Patients with OSA and COPD were characterized by more severe hypoxia at night compared with the OSA patients without OLD. CONCLUSION: OSA was associated with an increased prevalence of OLDs.

Diabetes control through an educational intervention.

OBJECTIVE: We evaluated the effect of an educational intervention administered to patients or/and physicians on the reduction in HbA(1c) and achieving diabetic control in a high-risk primarily Black inner-city population. METHODS: The study was designed as a four-arm randomized clinical trial where an educational program on diabetes was offered to physicians only, patients only, and both physicians and their patients, while the fourth arm did not receive any instruction. We built regression models at 24 months of follow-up to assess the likelihood of reaching glycemic goal as well as to measure the absolute reduction in HbA(1c) controlling for arm assignment, insulin use, race, age, sex, smoking, insulin use, and having achieved blood pressure control. RESULTS: Between April 2005 and July 2007, there were 823 patients randomized into the study. In multivariate analyses, the intervention group in which only patients received education showed a trend toward achieving a significant mean reduction in HbA(1c) with 49% (P = .06) higher odds of reaching glycemic control and .12 (P = .06) greater absolute percentage point drop in HbA(1c) compared to the no education group. CONCLUSION: Although our study reports positive results, it warrants a special emphasis on the behavior of the patient. Study results bring attention to disease management programs such as peer support networks that empower the patients that shift some of the responsibility to them.

The Lived Experiences of Pregnant and Parenting Women in Recovery Toward Medication Treatment for Opioid Use Disorder.

BACKGROUND: Maternal misuse of prescription opioids and illicit drugs such as, heroin and non-pharmaceutical fentanyl analogs has increased in the last 2 decades and one in 5 women reported misuse of opioids. Medications for opioid use disorder (MOUD) are recommended for treating pregnant women with opioid use disorder (OUD). MOUD is effective in reducing cravings and negative outcomes, yet treatment is underutilized and varies in integration and intensity of resources across health systems. Exploring perceptions of MOUD delivery among pregnant/parenting women promises to uncover and address the underlying challenges to treatment, a perspective that may be different for providers and stakeholders. Therefore, our main purpose is to elicit patients' experiences and perceptions of MOUD, associated access to treatment, and availability of supportive resources during pregnancy/postpartum to inform OUD treatment. METHODS: Through a qualitative research approach we gathered data from individual interviews/focus group discussions for this pilot study. Pregnant and postpartum parenting women (n = 17) responded to questions related to perceptions of MOUD, access to treatment, and availability of social and psychosocial resources. Data were collected, transcribed, and coded (by consensus) and emerging themes were analyzed using grounded theory methodology. RESULTS: Emerging themes revealed positive uptake and perceptions of MOUD, continuing gaps in knowledge, negative impact of stigmatization, and limited access to programs and resources. Supportive relationships from family, peers, healthcare providers and child welfare staff, and co-located services were perceived as positive motivators to recovery. CONCLUSIONS: Through the unique lenses of women with lived experience, this study revealed several themes that can be transformative for women. Overall perceptions of MOUD were positive and likely to facilitate uptake and promote positive recovery outcomes. Bridging knowledge gaps will reduce anxieties, fears about neonatal opioid withdrawal syndrome and adverse maternal outcomes. Additionally, a deeper understanding of stigmatization and relationships can inform an integrated patient-centered approach to OUD treatment.

State-level policies and receipt of CDC-informed opioid thresholds among commercially insured new chronic opioid users.

OBJECTIVES: To evaluate the association of state-level policies on receipt of opioid regimens informed by Centers for Disease Control and Prevention (CDC) morphine milligram equivalent (MME)/day recommendations. DESIGN: A retrospective cohort study of new chronic opioid users (NCOUs). SETTING: Commercially insured plans across the United States using IQVIA PharMetrics® Plus for Academics database with new chronic use between January 2014 and March 2015. PARTICIPANTS: NCOUs with ≥60-day coverage of opioids within a 90-day period with ≥30-day opioid-free period prior to the date of the first qualifying opioid prescription. INTERVENTIONS: State-level policies including Prescription Drug Monitoring Program (PDMP) robustness and cannabis policies involving the presence of medical dispensaries and state-wide decriminalization. MAIN OUTCOME MEASURES: NCOUs were placed in three-tiered risk-based average MME/day thresholds: low (>0 to <50), medium (≥50 to <90), and high (≥90). Multinomial logistic regression was used to estimate the association of state-level policies with the thresholds while adjusting for relevant patient-specific factors. RESULTS: NCOUs in states with medium or high PDMP robustness had lower odds of receiving medium (adjusted odds ratio [AOR] 0.74; 95 percent confidence interval [CI]: 0.62-0.69) and high (AOR 0.74; 95 percent CI: 0.59-0.92) thresholds. With respect to cannabis policies, NCOUs in states with medical cannabis dispensaries had lower odds of receiving high (AOR 0.75; 95 percent CI: 0.60-0.93) thresholds, while cannabis decriminalization had higher odds of receiving high (AOR 1.24; 95 percent CI: 1.04-1.49) thresholds. CONCLUSION: States with highly robust PDMPs and medical cannabis dispensaries had lower odds of receiving higher opioid thresholds, while cannabis decriminalization correlated with higher odds of receiving high opioid thresholds.

Short-term healthcare resource utilization associated with receipt of CDC-informed opioid thresholds among commercially insured new chronic opioid users.

OBJECTIVE: To evaluate the impact of recent changes to the Centers for Disease Control and Prevention (CDC) morphine milligram equivalent (MME)/day threshold recommendations on healthcare utilization. DESIGN: A retrospective cohort study of new chronic opioid users (NCOUs). SETTING: Commercially insured plans across the United States using IQVIA PharMetrics® Plus for Academics database with new use between January 2014 and March 2015. PATIENTS: NCOUs with ≥60-day coverage of opioids within a 90-day period with ≥30-day opioid-free period prior to the date of the first qualifying opioid -prescription. INTERVENTIONS: NCOU categorized by the CDC three-tiered risk-based average MME/day thresholds: low (>0 to <50), medium (≥50 to <90), and high (≥90). MAIN OUTCOME MEASURES: Multivariable logistic regression was used to calculate adjusted odds of incurring an acute care encounter (ACE) (all-cause and opioid-related) between the thresholds (adjusted odds, 95 percent confidence interval). RESULTS: In adjusted analyses, when compared to low threshold, there was no difference in the odds of all-cause ACE across the medium (1.01, 0.94-1.28) and high (1.01, 0.84-1.22) thresholds. When compared to low threshold, a statistically insignificant increase was observed when evaluating opioid-related ACE among medium (1.86, 0.86-4.02) and high (1.51, 0.65-3.52) thresholds. CONCLUSIONS: There was no difference in odds of an all-cause or opioid-related ACE associated with the thresholds. Early-intervention programs and policies exploring reduction of MME/day among NCOUs may not result in short-term reduction in all-cause or opioid-related ACEs. Further assessment of potential long-term reduction in ACEs among this cohort may be insightful.

Transarterial chemoembolization treatment: association between multiple treatments, cumulative expenditures, and survival.

OBJECTIVES: To examine cumulative survival and Medicaid-paid expenses associated with multiple courses of transarterial chemoembolization (TACE) as primary treatment for hepatocellular carcinoma (HCC). METHODS: Medicare enrollees diagnosed with primary HCC from 2000 to 2007, ever treated with TACE, but not transplant/resection, followed through 2009 by using the Surveillance, Epidemiology and End-Results Program and linked Medicare databases. Cumulative all-cause/HCC-related survival was estimated by using multivariate Cox proportional hazards models stratified by the total number of TACE treatments. Multivariate weighted Cox regressions estimated the average risk of mortality faced with nonproportional hazards. Lin's inverse probability-weighted least squares regression method estimated cumulative Medicare expenditures adjusted for censoring and covariates. RESULTS: Of 1228 patients, 34% were stage 1, 16% stage 2, 19% stage 3, 6% stage 4, and 26% unstaged. About 44% were aged 65 to 75 years, 69% were men, and 72% were Caucasian. Over half (57%) of the patients received one course, 24% two, 11% three, and 8% four courses of TACE. One-course patients incurred an average $74,788 (95% confidence interval [CI] $71,890-$77,686), two-course patients $101,126 (95% CI $94,395-$107,856), three-course patients $111,776 (95% CI $101,931-$121,621), and four-plus-course patients $148,878 (95% CI $136,346-$161,409). One-course patients lived (all-cause) an average 1.86 (95% CI 1.82-1.90), two-course patients 2.09 (95% CI 2.05-2.13), three-course patients 2.81 (95% CI 2.66-2.97), and four-plus-course patients 3.06 (95% CI 2.95-3.18) years after diagnosis. Average risk of all-cause mortality was not significantly different between one/two courses or three/four-plus courses. CONCLUSIONS: Cumulative Medicare expenditures nearly doubled from one-course to four-plus-course patients. On average, four-plus-course patients lived over one more year than did one-course patients. Physician/patient decisions should be balanced with consideration of efficient use of limited resources, but payer's intervention in physician discretion may not be important in this setting.

Disparities in maternal mortality.

Maternal mortality rates in the USA remain high, with persistent racial and socioeconomic disparities. We identified 207,016 hospital admissions for pregnant women in Maryland, from 2017 to 2019. Logistic regression was used to identity factors associated with maternal death. The health outcome for black women was more prone to give rise to maternal mortality than for white women. Our study revealed numerous racial and age discrepancies in gestational health outcomes, which opioid use disorder exacerbated. Our findings elaborate on the importance of identifying the drivers of adverse pregnancy outcomes, to help inform policy, and resource allocations.

Data sources and applied methods for paclitaxel safety signal discernment.

Background: Following the identification of a late mortality signal, the Food and Drug Administration (FDA) convened an advisory panel that concluded that additional clinical study data are needed to comprehensively evaluate the late mortality signal observed with the use of drug-coated balloons (DCB) and drug-eluting stent (DES). The objective of this review is to (1) identify and summarize the existing clinical and cohort studies assessing paclitaxel-coated DCBs and DESs, (2) describe and determine the quality of the available data sources for the evaluation of these devices, and (3) present methodologies that can be leveraged for proper signal discernment within available data sources. Methods: Studies and data sources were identified through comprehensive searches. original research studies, clinical trials, comparative studies, multicenter studies, and observational cohort studies written in the English language and published from January 2007 to November 2021, with a follow-up longer than 36 months, were included in the review. Data quality of available data sources identified was assessed in three groupings. Moreover, accepted data-driven methodologies that may help circumvent the limitations of the extracted studies and data sources were extracted and described. Results: There were 39 studies and data sources identified. This included 19 randomized clinical trials, nine single-arm studies, eight registries, three administrative claims, and electronic health records. Methodologies focusing on the use of existing premarket clinical data, the incorporation of all contributed patient time, the use of aggregated data, approaches for individual-level data, machine learning and artificial intelligence approaches, Bayesian approaches, and the combination of various datasets were summarized. Conclusion: Despite the multitude of available studies over the course of eleven years following the first clinical trial, the FDA-convened advisory panel found them insufficient for comprehensively assessing the late-mortality signal. High-quality data sources with the capabilities of employing advanced statistical methodologies are needed to detect potential safety signals in a timely manner and allow regulatory bodies to act quickly when a safety signal is detected.

A qualitative evaluation of a citywide Community Health Partnership program.

While there have been numerous community-based programs in Baltimore, Maryland, aimed at helping patients access medical treatments and services, they historically were underutilized and did not operate synergistically. For that reason, sanofi-aventis, along with key stakeholders in Baltimore, developed the Community Health Partnership (CHP) to educate, empower, and connect patients to community health resources to enable patients to be more proactive about their health. The CHP utilizes a community health liaison (CHL) and a community health action team (CHAT) consisting of community health leaders who are hands-on activists and health care workers who coordinate activities and provide guidance for the CHP. The goal of the program is to foster community collaboration to raise awareness of the need to improve health in the community and to identify and connect patients to existing resources and services that can help. A qualitative evaluation of the Baltimore CHP was conducted through focus group and key informant interviews with members of the CHAT and CHP. Results suggest that the CHP program has enhanced patient-provider relationships, brought together a wealth of resources, and made people more aware of health information. The CHP facilitated providers' ability to help patients find resources and empowered patients in the community to better manage their health conditions. In parallel, physicians requested additional culturally sensitive resources on medical conditions that addressed the health literacy of their diverse patients. Through stakeholder engagement, many more communities beyond Baltimore can become better networked to help patients navigate the health care system and improve their health.

COVID-19 pandemic and telemental health policy reforms.

Many patients with mental disorders lack access to care mainly due to provider shortages. Coronavirus disease 2019 (COVID-19) pandemic significantly raised the prevalence of anxiety, depression, substance use disorder and suicidal thoughts among people. Mandated social distancing, and higher incidence of mental disorders increased the demand for Telemental Health (TMH). TMH expands access to care and can be an effective alternative to the costly conventional mental health care. However, there are barriers to the adoption of TMH such as reimbursement challenges, and licensure restrictions. During the COVID-19 pandemic, some policies and regulations changed to address the increase in TMH demand. The federal government increased funding for the new telehealth initiatives and more states legalized the interstate practice for psychologists. Medicare waived telehealth co-payments, reimbursed audio-only visits, and required payment parities between virtual and in-person visits. Nevertheless, Medicare maintained in-person visit prerequisite within the six months prior to the first time only for mental health treatments which can act as a hindrance. Additionally, four more states required telehealth coverage, 33 states required Medicaid plans, and 21 states required private insurers to cover TMH services. Ten states mandated payment parity for private insurers, and four states eliminated cost-sharing for telehealth services. Currently, 21 states are implementing payment parity on a permanent basis. During the pandemic, 78% of Mental health providers integrated TMH services into their practice. Despite the decline in use of telehealth for other health conditions after the pandemic peak, TMH use has remained strong representing 36% of outpatient visits. TMH is beneficial to patients in terms of cost and time saving; thus, the beneficiary regulatory changes should be sustained. Further well-designed studies are needed on the cost-effectiveness of telehealth interventions, and policymakers need to collect more data to decide whether and how to keep these changes permanently for TMH.