Multimorbidity and chronic pain management with opioids and other therapies among adults in the United States: A cross-sectional study.

Background: Multimorbidity, defined as the concurrent presence of ≥ 2 chronic conditions, and chronic pain (i.e., pain lasting ≥3 months) often co-exist. Multimodal pain management that includes non-pharmacologic treatment and non-opioid therapy is recommended to prevent serious risks associated with opioids. Purpose: Estimate the prevalence of types of pain treatment and analyze their associations with multimorbidity using a nationally representative survey in the United States (US). Methods: Data was collected from the 2020 National Health Interview Survey among adults with chronic pain and chronic conditions (N= 12,028). Chronic pain management was grouped into four categories: opioid therapy; non-opioid multimodal pain treatment; pain treatment with monotherapy; and no pain treatment. Chi-square tests and multivariable multinomial logistic regressions were used to analyze the association of multimorbidity with types of pain treatment after controlling for age, sex, social determinants of health (SDoH), and lifestyle characteristics. Results: Among NHIS respondents, 68% had multimorbidity. In adjusted multinomial logistic regressions with "pain management with monotherapy" as the reference group, those with multimorbidity were more likely to utilize opioids (AOR=1.63, 95% CI=1.23, 2.17). Those with severe pain were also more likely to use opioid therapy (AOR=19.36, 95% CI=13.35, 28.06) than those with little pain. Those with low income and education were less likely to have multimodal pain management without opioids. Conclusion: Seven in 10 adults had multimorbidity. Those with multimorbidity reported severe pain and relied on opioids for pain control. Regardless of multimorbidity status, SDoH was associated with types of chronic pain management.

Ethnic Disparities in Patient-Centered Communication with Healthcare Providers: A Comparison of Non-Hispanic Asians and Non-Hispanic Whites.

BACKGROUND: Patient-centered communication (PCC) is an important metric related to patient health outcomes. Non-Hispanic Asian (NHA) individuals reported lower PCC scores with healthcare providers than individuals of other races and ethnicities. We aim to determine the ethnic disparities in PCC and further investigate the association between PCC, individual's confidence in obtaining health-related information (health literacy), and confidence in taking care of themselves (health self-efficacy) among NHA in comparison to the Non-Hispanic White (NHW) population. METHODS: This is a cross-sectional study. We used data from the Health Information National Trends Survey 5 (HINTS) cycles 1 and 3. PCC was measured using seven validated survey questions with scores ranging from 7 to 28. Individuals' health literacy and self-efficacy were accessed using two-item survey questions. Multivariable logistic regression analyses were performed to determine the association of independent factors (e.g., self-efficacy, health literacy, and race and ethnicity) with PCC. RESULTS: We included 3,831 participants. Fewer NHAs (35.43%) reported high PCC scores compared to NHWs (48.99%, p = 0.0184). In fully adjusted logistic regression model, although NHAs were less likely to have high PCC scores (aOR = 0.78, 95% CI 0.46-1.32) compared to NHWs, the association was not statistically significant (p = 0.350). However, the aOR of confidence in self-efficacy associated with high PCC scores was 2.27 (95% CI 1.68-3.07, p < 0.001) and the aOR of confidence in health literacy with high PCC scores was 2.13 (95% CI 1.64-2.76, p < 0.001). CONCLUSIONS: High PCC scores reported by NHA were not significantly different from those of NHW individuals in adjusted comparisons. Individual's confidence in self-efficacy and health literacy was positively associated with high PCC regardless of race and ethnicity.

Community perspectives on AI/ML and health equity: AIM-AHEAD nationwide stakeholder listening sessions.

Artificial intelligence and machine learning (AI/ML) tools have the potential to improve health equity. However, many historically underrepresented communities have not been engaged in AI/ML training, research, and infrastructure development. Therefore, AIM-AHEAD (Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity) seeks to increase participation and engagement of researchers and communities through mutually beneficial partnerships. The purpose of this paper is to summarize feedback from listening sessions conducted by the AIM-AHEAD Coordinating Center in February 2022, titled the "AIM-AHEAD Community Building Convention (ACBC)." A total of six listening sessions were held over three days. A total of 977 people registered with AIM-AHEAD to attend ACBC and 557 individuals attended the listening sessions across stakeholder groups. Facilitators led the conversation based on a series of guiding questions, and responses were captured through voice and chat via the Slido platform. A professional third-party provider transcribed the audio. Qualitative analysis included data from transcripts and chat logs. Thematic analysis was then used to identify common and unique themes across all transcripts. Six main themes arose from the sessions. Attendees felt that storytelling would be a powerful tool in communicating the impact of AI/ML in promoting health equity, trust building is vital and can be fostered through existing trusted relationships, and diverse communities should be involved every step of the way. Attendees shared a wealth of information that will guide AIM-AHEAD's future activities. The sessions highlighted the need for researchers to translate AI/ML concepts into vignettes that are digestible to the larger public, the importance of diversity, and how open-science platforms can be used to encourage multi-disciplinary collaboration. While the sessions confirmed some of the existing barriers in applying AI/ML for health equity, they also offered new insights that were captured in the six themes.

The Association of Multimorbidity With Whole Health Activities Among Adults in the United States: Evidence From the NHIS and BRFSS.

Background: Whole health is a holistic approach encompassing integrative medicine, emotional, and spiritual health and is critical to improving health outcomes among individuals with multimorbidity. Objective: To examine the prevalence of Whole Health activities and the association of multimorbidity and Whole Health activities using nationally representative datasets. Methods: As no single dataset has information on Whole Health self-care activities, data from the 2017 National Health Interview Survey (n = 25 134) was used to measure participants' mind-body therapy usage, sleep, mental health, and physical activity. We used the 2017 Behavioral Risk Factor Surveillance System (n = 347 029) to assess regular vegetable and/or fruit consumption. Results: A significantly lower percentage of adults with multimorbidity had adequate sleep (58.2%vs.67.1%), no psychological distress (71.8%vs.82.1%), adequate physical activity (48.2%vs.62.1%), and regular vegetable and/or fruit consumption (54.2%vs.56.6%) compared to those without multimorbidity. Although lower percentages of adults with multimorbidity utilized mind-body therapies (22.9%vs.25.2%), the association was reversed when adjusted for socioeconomic factors. In the fully adjusted models, adults with multimorbidity were more likely to use mind-body therapies (AOR = 1.19, 95%CI = 1.09, 1.31). Furthermore, when adjusting for other independent variables, the associations of multimorbidity with sleep, psychological distress, and diet were exacerbated, and the association of multimorbidity with physical activity was attenuated. Conclusion: Adults with multimorbidity were less likely to engage in most of the Whole Health activities except mind-body therapies compared to the no multimorbidity group. Findings suggest that adjustment for other factors such as age and socioeconomic status changed the magnitude and direction of the association of multimorbidity with Whole Health activities.

Assessment of Joint and Interactive Effects of Multimorbidity and Chronic Pain on ADRD Risk in the Elder Population.

Objective: Multimorbidity and non-cancer chronic pain conditions (NCPC) are independently linked to elevated risk for cognitive impairment and incident Alzheimer's Disease and Related Dementias (ADRD)-both - We present the study of potential joint and interactive effects of these conditions on the risk of incident ADRD in older population. Methods: This retrospective-cohort study drew baseline and 2-year follow-up data from linked Medicare claims and Medicare Current Beneficiary Survey (MCBS). Baseline multimorbidity and NCPC were ascertained using claims data. ADRD was ascertained at baseline and follow-up. Results: NCPC accompanied by multimorbidity (vs. absence of NCPC or multimorbidity) had a significant and upward association with incident ADRD (adjusted odds ratio (AOR): 1.72, 95% CI 1.38, 2.13, p < 0.0001). Secondary analysis by number of comorbid conditions suggested that the joint effects of NCPC and multimorbidity on ADRD risk may increase with rising number contributing chronic conditions. Interaction analyses indicated significantly elevated excess risk for incident ADRD.

Factors Associated with Reducing Disparities in Electronic Personal Heath Records Use Among Non-Hispanic White and Hispanic Adults.

OBJECTIVES: Personal health records (PHR) use has improved individuals' health outcomes. The adoption of PHR remains low with documented racial disparities. We aim to determine factors associated with reducing racial and ethnic disparities among Hispanic adults in PHR use. METHODS: Participants included non-Hispanic White (NHW) and Hispanic adults (age ≥ 18 years) enrolled in Health Information National Trends Survey in 2018 and 2019. We identified PHR use as online medical record access in the last 12 months. We considered three factors (1. accessing mHealth Apps on the phone, 2. having a usual source of care, and 3. electronically communicating (e-communication) with healthcare providers) as facilitating PHR use. Multivariable logistic regressions with replicate weights were analyzed to determine factors associated with racial/ethnic disparities in PHR use after controlling for general characteristics (i.e., sex, age, education, insurance status, and income). RESULTS: A lower percentage of Hispanics than NHWs used PHR (42.0% vs. 53.5%, P < .001). When adjusted for individual general characteristics, the adjusted odds ratio (AOR) of e-communication with healthcare providers associated with PHR use was 1.49 (1.19-1.86, P < .001), AOR was 2.06 (1.62-2.6, P < .001) on accessing to mHealth App, and 2.60 (1.86-3.63, P < .001) on having a usual source of care. However, the racial difference was not statistically significant after adjusting three factors promoting PHR use (AOR = 0.90, 95% CI = 0.66, 1.22, P = .48). CONCLUSIONS: Ethnic disparities were reduced when PHR use was facilitated by having a usual source of care, active e-communication, and having access to mHealth apps. Interventions focusing on these three factors may potentially reduce racial/ethnic disparities.

A Linear Decomposition Approach to Explain Excess Direct Healthcare Expenditures Associated with Pain Among Adults with Osteoarthritis.

Objective: Many patients with osteoarthritis experience pain which can lead to higher healthcare expenditures. It is important to understand the factors that drive the excess expenditures associated with pain in osteoarthritis. Design: Cross-sectional. Study sample: Our study sample consisted of adults (age ⩾ 18 years) from the Medical Expenditure Panel Survey (MEPS, 2018). Methods: Adults who were alive during the calendar year and had pain status were included in this study (N = 2804 weighted N = 32.03 million). Osteoarthritis was identified from the medical conditions file and household file. We used multivariable ordinary least squares regression to identify the statistically significant association of pain with direct healthcare expenditures. The Blinder-Oaxaca post-linear decomposition on log-transformed total direct healthcare expenditures was used to estimate the extent to which differences in characteristics contribute to the excess expenditures associated with pain. Results: Adults with osteoarthritis and pain had higher average expenditures ($21 814 vs $10 827, P < .001; 9.318 vs 8.538 in logtransformed expenditures) compared to those without pain. Pooled regression weights explained 62.9% of excess expenditures differences in characteristics between the 2 groups. The 2 main drivers of excess healthcare expenditures among adults with osteoarthritis and pain were (i) comorbidities (diabetes, asthma, chronic obstructive pulmonary disease, depression, heart diseases, cancer, and non-cancer pain conditions and (ii) prescription medications (NSAIDs, opioids, and polypharmacy). Conclusion: Need factors such as comorbid conditions, and prescription treatment explained the excess healthcare expenditures among adults with osteoarthritis and pain. The study findings suggest that reducing polypharmacy and appropriate management of comorbid conditions may be a pathway to reduce excess expenditures among adults with osteoarthritis and pain.

Unified in Our Diversity to Address Health Disparities Among Asian Americans, Native Hawaiians, and Pacific Islanders.

The COVID-19 pandemic disproportionately impacted Asian Americans, Native Hawaiians, and Pacific Islanders (AA/NHPIs) in the United States. AA/NHPIs have historically been subjected to discrimination, which was exacerbated by the pandemic. To bring attention to their unique concerns, an AA/NHPI Interest Group of the National Institutes of Health Community Engagement Alliance Against COVID-19 Disparities (CEAL) was formed. This article highlights major concerns raised by the Interest Group: The pervasive and arbitrary practice of data aggregation by public health agencies and health-related researchers, the lack of culturally responsive services in the context of cultural safety, and leadership underrepresentation.

Increased Odds of Incident Alzheimer's Disease and Related Dementias in Presence of Common Non-Cancer Chronic Pain Conditions in Appalachian Older Adults.

BACKGROUND: There is a growing concern regarding the increasing prevalence of common non-cancer chronic pain conditions (NCPCs) and their possible association with Alzheimer's disease and related dementias (ADRD). However, large population-based studies are limited, especially in Appalachian and other predominantly rural, underserved populations who suffer elevated prevalence of both NCPCs and known ADRD risk factors. OBJECTIVES: We investigated the relation of NCPC to risk of incident ADRD in older Appalachian Medicare beneficiaries and explored the potential mediating effects of mood and sleep disorders. METHODS: Using a retrospective cohort design, we assessed the overall and cumulative association of common diagnosed NCPCs at baseline to incident ADRD in 161,573 elders ≥65 years, Medicare fee-for-service enrollees, 2013-2015. NCPCs and ADRD were ascertained using claims data. Additional competing risk for death analyses accounted for potential survival bias. MAIN FINDINGS: Presence of any NCPC at baseline was associated with significantly increased odds for incident ADRD after adjustment for covariates [adjusted odds ratio (AOR) = 1.26 (1.20, 1.32), p < .0001]. The magnitude and strength of this association increased significantly with rising burden of NCPCs at baseline [AOR for ≥4 vs. no NCPC = 1.65 (1.34, 2.03), p-trend = .01]. The addition of depression and anxiety, but not sleep disorders, modestly attenuated these associations [AORs for any NCPC and ≥4 NCPCs, respectively = 1.16 (1.10, 1.22) and 1.39 (1.13, 1.71)], suggesting a partial mediating role of mood impairment. Sensitivity analyses, multinomial logistic regressions accounting for risk of death, yielded comparable findings. CONCLUSION: In this large cohort of older Appalachian Medicare beneficiaries, baseline NCPCs showed a strong, positive, dose-response relationship to odds for incident ADRD; this association appeared partially mediated by depression and anxiety. Further longitudinal research in this and other high-risk, rural populations are needed to evaluate the causal relation between NCPC and ADRD.

Absenteeism-Related Wage Loss Associated With Multimorbidity Among Employed Adults in the United States.

OBJECTIVE: To estimate the incremental absenteeism-related wage loss associated with multimorbidity and examine the influence of paid sick leave policy (PSLP) on multimorbidity-associated absenteeism wage loss. METHODS: We used the Medical Expenditure Panel Survey (MEPS) 2015 data. Two-part generalized linear models (GLM) were employed, using binomial distribution and gamma distribution with a log link. RESULTS: Nationally, multimorbidity was associated with a $9 billion incremental absenteeism-related wage loss annually among working adults. Absenteeism-related wage loss was higher among those with multimorbidity than those without multimorbidity. The incremental annual absenteeism-related wage loss associated with multimorbidity was lower in settings that offered paid sick leave than that did not offer paid sick leaves. CONCLUSION: Multimorbidity is associated with higher absenteeism-related wage loss. Paid sick leave policies can reduce the impact of multimorbidity on absenteeism-related wage loss.

Economic Burden of Treatment-Resistant Depression among Adults with Chronic Non-Cancer Pain Conditions and Major Depressive Disorder in the US.

OBJECTIVE: Major depressive disorder (MDD) and chronic non-cancer pain conditions (CNPC) often co-occur and exacerbate one another. Treatment-resistant depression (TRD) in adults with CNPC can amplify the economic burden. This study examined the impact of TRD on direct total and MDD-related healthcare resource utilization (HRU) and costs among commercially insured patients with CNPC and MDD in the US. METHODS: The retrospective longitudinal cohort study employed a claims-based algorithm to identify adults with TRD from a US claims database (January 2007 to June 2017). Costs (2018 US$) and HRU were compared between patients with and without TRD over a 12-month period after TRD/non-TRD index date. Counterfactual recycled predictions from generalized linear models were used to examine associations between TRD and annual HRU and costs. Post-regression linear decomposition identified differences in patient-level factors between TRD and non-TRD groups that contributed to the excess economic burden of TRD. RESULTS: Of the 21,180 adults with CNPC and MDD, 10.1% were identified as having TRD. TRD patients had significantly higher HRU, translating into higher average total costs (US$21,015TRD vs US$14,712No TRD) and MDD-related costs (US$1201TRD vs US$471No TRD) compared with non-TRD patients (all p < 0.001). Prescription drug costs accounted for 37.6% and inpatient services for 30.7% of the excess total healthcare costs among TRD patients. TRD patients had a significantly higher number of inpatient (incidence rate ratio [IRR] 1.30, 95% CI 1.14-1.47) and emergency room visits (IRR 1.21, 95% CI 1.10-1.34) than non-TRD patients. Overall, 46% of the excess total costs were explained by differences in patient-level characteristics such as polypharmacy, number of CNPC, anxiety, sleep, and substance use disorders between the TRD and non-TRD groups. CONCLUSION: TRD poses a substantial direct economic burden for adults with CNPC and MDD. Excess healthcare costs may potentially be reduced by providing timely interventions for several modifiable risk factors.

Economic Burden of Asthma-Chronic Obstructive Pulmonary Disease Overlap among Older Adults in the United States.

The objective of this study is to estimate the excess economic burden of Asthma-COPD Overlap (ACO) among older adults in the United States. We used a cross-sectional study design with data from a nationally representative survey of Medicare beneficiaries (Medicare Current Beneficiary Survey) linked to Medicare fee-for-service claims. Older adults with ACO had higher average total healthcare expenditures ($45,532 vs. $12,743) and higher out-of-pocket spending burden (19% vs. 8.5%) compared to those with no-asthma no-COPD (NANC). Individuals with ACO also had almost two, and 1.5 times higher expenditures compared to individuals with asthma only and COPD only, respectively. Multivariable regression models indicated that the adjusted associations of ACO to economic burden remained positive and statistically significant. In comparison with NANC, nearly three-quarters of the excess total healthcare expenditures and 83% of the out-of-pocket spending burden of older adults with ACO were explained by differences in predisposing, enabling, need, personal healthcare practices, and external factors among the two groups. The higher number of unique medications and the increased incidence of fragmented care were the leading contributors to the excess economic burden among older adults with ACO comparing to NANC individuals. Interventions that reduce the number of medications and fragmented care have the potential to reduce the excess economic burden among older adults with ACO.

Impact of Diffuse Large B-Cell Lymphoma on Mammography and Bone Density Testing in Women.

Women with diffuse large B-cell lymphoma (DLBCL) are at an increased risk of mortality from breast cancer and osteoporosis. However, the impact of DLBCL on rates of mammography and bone density testing (BDT) is unknown. We compared female DLBCL and non-cancer patients utilizing the Surveillance, Epidemiology, and End Results-Medicare dataset to analyze the predictors of mammography and BDT. Guided by the Social Ecological Model (SEM), we used multivariable logistic regressions with inverse probability treatment weighting to examine the association of intrapersonal, interpersonal, healthcare system, and community factors with mammography and BDT. The rates of mammography (59.8%) and BDT (18.5%) in women with DLBCL were similar to those without cancer (60.2% and 19.6%, respectively). After adjusting for the SEM factors, DLBCL patients were less likely to get mammography and BDT than non-cancer patients. The treatments of radiotherapy and stem cell transplant were not associated with either mammography or BDT. DLBCL diagnosis was associated with lower rates of mammography and BDT rates among women with DLBCL, as compared to non-cancer patients. To reduce the morbidity and mortality from breast cancer and fractures in women with DLBCL, providers should increase their recommendations for mammography in those receiving radiotherapy and BDT in stem cell transplant patients.

Low-value care and excess out-of-pocket expenditure among older adults with incident cancer - A machine learning approach.

OBJECTIVE: To evaluate the association of low-value care with excess out-of-pocket expenditure among older adults diagnosed with incident breast, prostate, colorectal cancers, and Non-Hodgkin's Lymphoma. METHODS: We used a retrospective cohort study design with 12-month baseline and follow-up periods. We identified a cohort of older adults (age ≥ 66 years) diagnosed with breast, prostate, colorectal cancers, or Non-Hodgkin's lymphoma between January 2014 and December 2014. We assessed low-value care and patient out-of-pocket expenditure in the follow-up period. We identified relevant low-value services using ICD9/ICD10 and CPT/HCPCS codes from the linked health claims and patient out-of-pocket expenditure from Medicare claim files and expressed expenditure in 2016 USD. RESULTS: About 29 % of older adults received at least one low-value care procedure during the follow-up period. Low-value care differed by gender, and rates were higher in women with colorectal cancer (32.7 %) vs. (28.8 %) and NHL (40 %) vs. (39 %) compared to men. Individuals who received one or more low-value care procedures had significantly higher mean out-of-pocket expenditure ($8,726 ± $7,214) vs. ($6,802 ± $6,102). XGBOOST, a machine learning algorithm revealed that low-value care was among the five leading predictors of OOP expenditure. CONCLUSION: One in four older adults with incident cancer received low-value care in 12-months after a cancer diagnosis. Across all cancer populations, individuals who received low-value care had significantly higher out-of-pocket expenditure. Excess out-of-pocket expenditure was driven by low-value care, fragmentation of care, and an increasing number of pre-existing chronic conditions. POLICY STATEMENT: This study focuses on health policy issues, specifically value-based care and its findings have important clinical and policy implications for Centers for Medicare and Medicaid Services (CMS) which has issued a roadmap for states to accelerate the adoption of value-based care, with the Department of Health and Human Services (HHS) setting a goal of converting 50 % of traditional Medicare payment systems to alternative payment models tied to value-based care by 2022.

Immune checkpoint inhibitor use, multimorbidity and healthcare expenditures among older adults with late-stage melanoma.

Background: The objective of this study is to assess the impact of immune checkpoint inhibitors (ICIs) and multimorbidity on healthcare expenditures among older patients with late-stage melanoma. Materials & methods: A retrospective longitudinal cohort study using Surveillance, Epidemiology and End Results linked with Medicare claims was conducted. Generalized linear mixed models were used to analyze adjusted relationships of ICI, multimorbidity and ICI-multimorbidity interaction on average healthcare expenditures. Results: Patients who received ICI and those who had multimorbidity had significantly higher average total healthcare expenditures compared with ICI nonusers and no multimorbidity. In the fully adjusted model using ICI-multimorbidity interaction, no excess cost was added by multimorbidity. Conclusion: Use of ICIs, regardless of multimorbidity, is associated with increased healthcare expenditures.

Facility and state-level factors associated with telemental health (TMH) adoption among mental health facilities in the United States.

INTRODUCTION: Telemental health (TMH) is a promising approach to increase access to mental healthcare. This study examined the TMH adoption rates and associations with facility- and state-level factors among US mental health (MH) facilities. METHODS: This retrospective, cross-sectional study used linked data for 2016 from the National Mental Health Services Survey (N = 11,833), Area Health Resources File, and national reports for broadband access and telehealth policies. The associations of facility and state-level characteristics with TMH adoption were examined with multi-level logistic regressions. RESULTS: Overall, 25.9% had used TMH. Having veteran affiliation [Adjusted Odds Ratio (AOR) = 18.53, 95% Confidence Interval (95%CI): 10.66-32.21] and greater Information Technology (IT) capacity [AOR(95%CI): 2.89(2.10-3.98)] were the strongest correlates of TMH adoption. Other facility characteristics associated with higher likelihood of TMH adoption were: public ownership, high patient volumes, having comprehensive MH treatments or Quality Improvement practices, having private or non-Medicaid public payers, and treating elderly patients (AORs: 1.16-2.41). TMH adoption was less likely among facilities treating more African Americans or patients with substance abuse disorders. TMH adoption varied substantially across states, with adoption more likely in states issuing special telehealth licences and those with more rural counties. DISCUSSION: One in four MH facilities adopted TMH in 2016. TMH adoption varied by multiple facility- and state-level factors. Our findings suggest that: legal/regulatory burden and lower facility IT capacity may discourage TMH adoption; significant racial disparities exist in TMH adoption; and there is a need to increase TMH use for substance abuse disorders.

Prevalence and risk factors for multimorbidity in older US patients with late-stage melanoma.

INTRODUCTION: Presence of multimorbidity can affect prognosis, treatment, and outcomes of individuals with cancer. However, the prevalence and factors associated with multimorbidity among older late-stage melanoma is not well studied. We estimated the prevalence of any type of pre-existing multimorbidity (autoimmune disorder (AD), physical health conditions (PHC), and mental health conditions (MHC)) among older adults with late-stage melanoma in the United States. We further examined the association of patient-level factors to multimorbidity in late-stage melanoma. METHODS: We derived data on older fee-for-service Medicare beneficiaries (age ≥ 66 years) diagnosed with late-stage melanoma between 2011 and 2015 (N = 4,519) from the linked Surveillance, Epidemiology, and End Results cancer registry and Medicare claims. We defined multimorbidity as the prevalence of two or more chronic conditions prior to the diagnosis of melanoma. We used unadjusted and adjusted logistic regressions to examine the association of patient-level factors to multimorbidity. RESULTS: An overwhelming majority (85%) of older patients with late-stage melanoma had multimorbidity. Pre-existing PHC multimorbidity (84%) was the most prevalent, followed by AD (12%), and MHC (6%). Age and region were associated with any and PHC multimorbidity. Sex, marital status, and region were factors associated with pre-existing AD while sex, marital status, and dual eligibility were associated with MHC multimorbidity. CONCLUSIONS: Pre-existing multimorbidity was highly prevalent among older individuals with late-stage melanoma; prevalence rates and factors associated with multimorbidity varied by type of chronic conditions. This highlights the need for developing systematic approaches to optimizing care of older patients with late-stage melanoma and multimorbidity.

A Machine Learning Approach to Identify Predictors of Potentially Inappropriate Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) Use in Older Adults with Osteoarthritis.

Evidence from some studies suggest that osteoarthritis (OA) patients are often prescribed non-steroidal anti-inflammatory drugs (NSAIDs) that are not in accordance with their cardiovascular (CV) or gastrointestinal (GI) risk profiles. However, no such study has been carried out in the United States. Therefore, we sought to examine the prevalence and predictors of potentially inappropriate NSAIDs use in older adults (age > 65) with OA using machine learning with real-world data from Optum De-identified Clinformatics® Data Mart. We identified a retrospective cohort of eligible individuals using data from 2015 (baseline) and 2016 (follow-up). Potentially inappropriate NSAIDs use was identified using the type (COX-2 selective vs. non-selective) and length of NSAIDs use and an individual's CV and GI risk. Predictors of potentially inappropriate NSAIDs use were identified using eXtreme Gradient Boosting. Our study cohort comprised of 44,990 individuals (mean age 75.9 years). We found that 12.8% individuals had potentially inappropriate NSAIDs use, but the rate was disproportionately higher (44.5%) in individuals at low CV/high GI risk. Longer duration of NSAIDs use during baseline (AOR 1.02; 95% CI:1.02-1.02 for both non-selective and selective NSAIDs) was associated with a higher risk of potentially inappropriate NSAIDs use. Additionally, individuals with low CV/high GI (AOR 1.34; 95% CI:1.20-1.50) and high CV/low GI risk (AOR 1.61; 95% CI:1.34-1.93) were also more likely to have potentially inappropriate NSAIDs use. Heightened surveillance of older adults with OA requiring NSAIDs is warranted.

Harder to get than you think: Levonorgestrel emergency contraception access in West Virginia community pharmacies.

OBJECTIVES: Emergency contraception (EC) is the only noninvasive form of contraception available after risk exposure and is an important tool for preventing unintended pregnancy resulting from unprotected sex, sexual assault, or contraceptive failure. The U.S. Food and Drug Administration (FDA) removed age restrictions on levonorgestrel EC and made it available over-the-counter to everyone in 2013. Despite improved availability and accessibility since the change in FDA regulations, community pharmacies have not uniformly embraced the policy. West Virginia is a rural state with high rates of poverty and teen pregnancy. DESIGN: The investigators called community pharmacies in West Virginia to assess the availability and accessibility of levonorgestrel EC in addition to the pharmacy staff's knowledge of effectiveness for this cross-sectional study. SETTING AND PARTICIPANTS: The study sample consisted of 509 community pharmacies throughout the state. OUTCOME MEASURES: A structured script was employed to conduct phone calls to community pharmacies with items assessing availability, accessibility, and knowledge of effectiveness. RESULTS: At the time of the phone calls, levonorgestrel EC was reported to be available in 48.9% of the community pharmacies in West Virginia. Chain pharmacies were more likely to report EC as being in stock (0.76) than independent pharmacies (0.15.). Other measures of accessibility also favored chain pharmacies versus independent pharmacies. The overall accessibility of EC at West Virginia community pharmacies was derived from a binary composite variable of "completely accessible" or "not completely accessible" by combining 5 predetermined items. Overall, EC was completely accessible to callers in 0.27 of all pharmacies with significant differences by pharmacy type (0.47 of chain pharmacies as compared with 0.03 of independent pharmacies). CONCLUSION: Accessible EC could reduce unintended pregnancy and help break the state's generational cycle of poverty and poor educational, social, and health outcomes. Pharmacists will be instrumental in expanding access to EC.