Xm2 Scores for Estimating Total Exposure to Multimodal Strategies Identified by Pharmacists for Managing Pain: Validity Testing and Clinical Relevance

Association between self-reported pain severity and characteristics of United States adults (age ≥50 years) who used opioids

OBJECTIVE

The aim of this study was to assess the associations between the characteristics of United States (US) adults (≥50 years) who used opioids and self-reported pain severity using a nationally representative dataset.

METHODS

This retrospective cross-sectional database study used 2019 Medical Expenditure Panel Survey data to identify US adults aged ≥50 years with self-reported pain within the past 4 weeks and ≥1 opioid prescription within the calendar year (n = 1,077). Weighted multivariable logistic regression analysis modeled associations between various characteristics and self-reported pain severity (quite a bit/extreme vs less/moderate pain).

RESULTS

The adjusted logistic regression model indicated that greater odds of reporting quite a bit/extreme pain was associated with the following: age 50-64 vs ≥65 (adjusted odds ratio [AOR] = 1.76; 95% confidence interval [CI] = 1.22-2.54), non-Hispanic vs Hispanic (AOR = 2.0; CI = 1.18-3.39), unemployed vs employed (AOR = 2.01; CI = 1.33-3.05), no health insurance vs private insurance (AOR = 6.80; CI = 1.43-32.26), fair/poor vs excellent/very good/good health (AOR = 3.10; CI = 2.19-4.39), fair/poor vs excellent/very good/good mental health (AOR = 2.16; CI = 1.39-3.38), non-smoker vs smoker (AOR = 1.80; CI = 1.19-2.71), and instrumental activity of daily living, yes vs no (AOR = 2.27; CI = 1.30-3.96).

CONCLUSION

Understanding the several characteristics associated with pain severity in US adults ≥50 years who used an opioid may help transform healthcare approaches to prevention, education, and management of pain severity in later life.

Correlation of Positive Psychological Health among US Adults (Aged ≥ 50 Years) with Pain and Documented Opioid Treatment

In this study, we aimed to identify the factors correlated with positive psychological health among United States older adults (≥50 years) with pain and documented opioid treatment. This retrospective cross-sectional study utilized a nationally representative dataset (Medical Expenditure Panel Survey). A multivariable logistic regression model was developed to assess the correlation of positive psychological health in the eligible population. The logistic regression model showed having excellent/very good/good (versus fair/poor) perceived health (adjusted odds ratio [AOR] = 9.062; 95% confidence interval [CI] = 5.383, 15.254) had a statistically significant correlation with positive psychological health among the eligible population. This finding offers important insights for clinicians and policymakers to consider when formulating approaches to better manage the psychological health of United States older adults with pain and documented opioid treatment.

A Pilot Mixed-Methods Study to Establish the Clinical Usefulness of a Chronic Pain Profile (CPP) for Pain Management

The Chronic Pain Profile (CPP) was developed as a tool for patients to document types and levels of use for all pain management strategies used. This pilot mixed-methods (quantitative and qualitative methods) study aimed to assess the perceived clinical usefulness of the CPP and identify potential areas of difficulty using the CPP among a sample of pharmacists. Data were obtained from an online survey of pharmacists licensed to practice in Arizona. Quantitative analysis included assessing the clinical usefulness of the CPP using 10 numerical items (scores ≥50% = useful), 5 ordinal items (scores ≥ 4 out of 5 = useful), and 11 open-response items. Qualitative analysis was conducted by two independent researchers who coded the comments and identified key themes through consensus. Data were collected for 33 individuals. Mean usefulness scores ranged from 66.6 ± 22.4 to 80.9 ± 23.5, and three of the five ordinal items had a median score ≥ 4. Three key themes (and subthemes) were identified: favorable features of the CPP, which included promoting patient advocacy and saving time when accessing pain information; using the CPP, which included evaluating of the effectiveness and appropriateness of the pain management approach and identifying gaps in patient knowledge; and limitations of the CPP, which included absence of customization, interpretation issues, complexity and wording issues, and concerns of internal consistency and reliability. This pilot study provides initial evidence of the CPP's clinical usefulness that could ultimately be used to help manage pain and improve health outcomes. Further analyses are needed to assess the CPP's validity and explore its use in wider populations of patients with pain.

Association between pain burden and presence of any limitation among older adults (≥50 years of age) with pain who used opioids in the United States: Cross-sectional study using 2020 medical expenditure panel survey

This study aimed to assess the association between pain burden and presence of any limitation among older adults (≥50 years of age) with pain who used opioids in the United States. This cross-sectional study used 2020 Medical Expenditure Panel Survey data and included all adults aged 50 or older, who were alive for the 2020 calendar year, used an opioid at least once in the calendar year, and reported having pain in the past 4 weeks. Unadjusted and adjusted logistic regression models were developed to assess the association between any limitation (AL) (yes or no), pain burden (extremely, quite a bit, moderately, or little bit) and the control variables among a nationally representative sample of United States adults. A total of 844 of the 27,805 participants included in the dataset were eligible for the study. Of these, 71.2% (95% confidence interval (CI) = 67.2, 75.1%) reported the presence of AL. The adjusted logistic regression analysis showed that having extreme, quite a bit, or moderate pain (vs little pain) was associated with 10.30 (95% CI = 3.87, 27.40), 5.07 (95% CI = 2.77, 9.30), and 2.49 (95% CI = 1.40, 4.45), respectively, times greater odds of having AL. Furthermore, being unemployed (vs employed; adjusted odds ratio (aOR) = 5.26, 95% CI = 2.94, 9.09%), unmarried (vs married; aOR = 1.92, 95% CI = 1.12, 3.33%), having poor overall health (vs good overall health; aOR = 2.08, 95% CI = 1.08, 4.17), and residing in the Midwest (vs West; aOR = 2.04, 95% CI = 1.10, 3.80) were associated with greater odds of having AL. Extreme, quite a bit, and moderate pain burden were significantly associated with greater odds of reporting AL compared to little pain burden. Developing effective pain management strategies that address not only pain relief but also functional improvement among this population is of importance. Future research could then be conducted to determine the most effective pain management strategies that will provide pain relief and improve their functional abilities.

Investigating the Association of Pain Intensity and Health Status among Older US Adults with Pain Who Used Opioids in 2020 Using the Medical Expenditure Panel Survey

The number of older United States (US) adults is increasing, yet extra life years are not always spent in good health. This study explored the relationship between pain intensity and health status among US adults aged ≥50 with pain who used an opioid in the 2020 Medical Expenditure Panel Survey using multivariable logistic regression adjusting for demographic, economic, and health variables. Most (60.2%) older US adult opioid users with pain reported having good health (versus 39.8% poor health). In the fully adjusted analysis, those with extreme pain (odds ratio (OR) = 0.19, 95% confidence interval (CI) = 0.10, 0.35) and quite a bit of pain (OR = 0.34, 95% CI = 0.19, 0.60) had lower odds of reporting good health compared to those with little pain. There was no statistical relationship between health status for moderate versus little pain. In addition, males (versus females; OR = 0.61, 95% CI = 0.40, 0.91), white race (versus not white; OR = 0.43, 95% CI = 0.22, 0.84), education ≤high school (versus >high school; OR = 0.61, 95% CI = 0.41, 0.92), and current smoker (versus non-smoker; OR = 0.55, 95% CI = 0.32, 0.93) were associated with lower odds of reporting good health. Being employed (versus unemployed; OR = 1.88, 95% CI = 1.06, 3.33), having <2 chronic conditions (versus ≥2; OR = 4.38, 95% CI = 1.91, 10.02), and doing regular physical activity (versus not; OR = 2.69, 95% CI = 1.73, 4.19) were associated with higher odds of reporting good health. These variables should be considered when assessing the health needs and developing treatment plans for older US adult opioid users with pain.

Association between Pain and Frequent Physical Exercise among Adults in the United States: A Cross-Sectional Database Study

Pain affects over 20% of United States adults, and less than 50% of United States adults participate in frequent physical exercise. This cross-sectional database study included 13,758 United States adults aged >18 years from the 2020 Medical Expenditure Panel Survey (MEPS) and analyzed the association between severity of pain (independent variable) and frequent physical exercise (dependent variable), adjusting for demographic, economic, limitation, and health variables using multivariable logistic regression. The study showed 50.3% of adults report frequently exercising. Only 37.1% of adults reported experiencing pain of any degree, with a majority of them experiencing little pain. In the adjusted model, extreme pain vs. none, quite a bit of pain vs. none, Hispanic vs. non-Hispanic ethnicity, having a functional limitation vs. no limitation, and being overweight/obese vs. not being obese/overweight were associated with lower odds of reporting doing frequent physical exercise. Meanwhile, being ≥65 or 40-64 vs. 18-39 years of age, male vs. female, white vs. not white race, private or public vs. no health coverage, and good vs. poor general health were associated with greater odds of reporting doing frequent physical exercise. These variables associated with frequent physical exercise should be considered in future work when designing health interventions.

Characteristics Associated with Self-Reported Exercise among US Adults Age ≥50 Years with Self-Reported Pain in the Past Four Weeks Who Used an Opioid

The number of older adults in the United States is growing, alongside the number of older adults experiencing some sort of pain and using opioids. Exercise is an important pain management and pain prevention strategy. However, little is known about the factors associated with exercise among United States adults ≥50 years old with pain who use opioids. This retrospective cross-sectional database study aimed to identify characteristics associated with self-reported frequent exercise (moderate- to vigorous-intensity exercise ≥30 min five times a week) in United States adults ≥50 years old with pain in the past four weeks who had also used an opioid. The study used 2020 Medical Expenditure Panel Survey data and logistic regression models. Analyses maintained the structure of the complex survey data and were weighted to obtain nationally representative estimates. Significantly associated variables with frequent exercise in the fully adjusted analysis included being aged 60-69 (versus ≥80 years, adjusted odds ratio [AOR] = 2.3, 95% confidence interval [CI] = [1.1-5.1]), having excellent/very good/good (versus fair/poor) self-perceived health (AOR = 2.4, 95% CI = [1.3-4.2]), normal/underweight (versus obese (AOR = 2.1, 95% CI = [1.1-3.9])), overweight (versus obese (AOR = 1.7, 95% CI = [1.0-2.9])), and having little (versus extreme) pain (AOR = 2.4, 95% CI = [1.0-5.7]). A secondary finding was that 35.7% considered themselves frequent exercisers, while the remaining 64.3% did not consider themselves frequent exercisers. In future, these findings can be used to personalize pain management strategies and encourage greater levels of exercise among this population.

Student pharmacist characteristics and management of headache

INTRODUCTION

Headache is a prevalent, debilitating condition that affects 50% of adults globally. Little is known about headache among student pharmacists. This study describes the characteristics and management of headache among student pharmacists as well as implications for pharmacy education.

METHODS

Data were collected on headache characteristics, symptoms, triggers, impact, and pharmacological and non-pharmacological management strategies using an online questionnaire sent to all student pharmacists at one United States college of pharmacy in April 2021. Students who completed the questionnaire and reported having headache were included. Data were compared between graduating class years using chi-square and Kruskall-Wallis tests as appropriate.

RESULTS

A total of 111 students were included in the study. The most commonly reported headache characteristics were throbbing and pressure-like, moderate intensity, and < four  hours duration. The most common symptoms were neck or shoulder pain and mood or personality changes. The strongest headache trigger was sleep quantity. The most commonly used pharmacologic strategy was caffeine, and the most commonly used non-pharmacologic strategies were rest or sleep and drinking water. There were no significant differences between graduating class years for any variable except amount of screen time.

CONCLUSIONS

Student pharmacists with headache in this study had characteristics, symptoms, and triggers of headaches in keeping with existing knowledge and used a variety of pharmacological and non-pharmacological pain management strategies. Headache posed a burden for students, suggesting there may be a need for greater student support despite their perception that headache had a low impact on their grades.

Investigating Prescription Medication Expenditures and Level of Perceived Health Status among Older Adults with Pain in the United States

Background: the objective of this retrospective, cross sectional study was to assess the relationship between different levels of perceived health status and prescription medication expenditures among United States adults aged ≥50 years with self-reported pain. Methods: using 2019 Medical Expenditure Panel Survey (MEPS) data, four levels of perceived health status were formed (excellent, very good, good, and fair/poor health). Differences between characteristics in the groups were compared using chi square tests. Adjusted linear regression models, using logged positive annual prescription medication expenditures, were constructed to assess differences in prescription medication expenditures between levels of perceived health. Results: a total of 4826 individuals were included in the study. Adjusted linear regression analysis indicated those who reported excellent health had 65.8% lower annual prescription medication expenditures than those with fair/poor health. Those with very good health had 49.7% lower annual prescription medication expenditures than those with fair/poor health, while those with good health had 27.2% lower annual prescription medication expenditures than those with fair/poor health. Conclusions: better perceived health status was generally associated with relatively lower prescription medication expenditures. Further research is needed to investigate if this pattern is also observed for other categories of healthcare expenditures and in other populations.

Correlation of self-reported pain severity and healthcare expenditures in older United States adults

OBJECTIVES

Healthcare expenditures of older United States (US) adults with different pain severity levels are important to investigate given the increasing prevalence of pain in this population. This study assessed the correlation of healthcare expenditures among older US adults with different pain severities, hypothesizing that expenditures would increase as pain severity increased.

METHODS

This retrospective cross-sectional database study used 2018 Medical Expenditure Panel Survey (MEPS) data and included US adults aged ≥50 with self-reported pain in the past four weeks and positive healthcare costs. Adjusted linear regression models with logarithmically transformed expenditure data compared differences in: total; office-based; outpatient; emergency room; inpatient; other; and prescription medication expenditures, between those with little, moderate, quite a bit, and extreme pain. Analyses were weighted to account for the complex MEPS design and to obtain nationally representative estimates. The a priori alpha level was 0.05.

RESULTS

The eligible sample of 5,123 individuals produced a weighted study population of 57,134,711 US adults aged ≥50 with pain (little = 53.1%, moderate = 21.6%, quite-a-bit = 18.5%, extreme = 6.8%). In adjusted linear regression models, compared to little pain, extreme pain had the greatest level of costs, followed by quite a bit pain and moderate pain, for total, office-based, and prescription medication costs. For instance, compared to little pain, total healthcare costs were 78% greater for those with extreme pain, 51% greater for quite a bit pain, and 37% greater for moderate pain. However, this pattern was not observed for outpatient, emergency room, inpatient, and other costs, where ≥1 comparison for each cost category was not statistically significant.

CONCLUSIONS

This study found total healthcare costs increased as pain severity increased, yet this was not always the case when analyzing subcategories of healthcare costs. Further research is needed to investigate why some types of healthcare costs are greater with increasing pain severity, yet others are not.

Assessing healthcare expenditures of older United States adults with pain and poor versus good mental health status: a cross-sectional study

OBJECTIVES

This study aimed to determine if differences exist in healthcare expenditures of older United States (US) adults with pain based on self-reported mental health status, which is important to know given the prevalence of pain and poor mental health in the USA.

DESIGN

This was a cross-sectional study.

SETTING

US Medical Expenditure Panel Survey (MEPS) interviews.

PARTICIPANTS

US adults aged ≥50 years, with self-reported pain in the past 4 weeks and positive healthcare expenditure in the 2018 Medical Expenditure Panel Survey (MEPS). The independent variable was poor versus good mental health status.

PRIMARY AND SECONDARY OUTCOME MEASURES

Descriptive statistics compared demographic characteristics (using chi-square tests) and mean healthcare expenditures (using t-tests) between groups. Adjusted linear regression models with logarithmically-transformed expenditures compared differences in: total; inpatient; outpatient; emergency room; office-based; prescription medications and other expenditures. Analyses accounted for the complex MEPS design and were weighted to produce nationally-representative results. The a priori alpha level was 0.05.

RESULTS

The weighted population included 57 134 711 older US adults with self-reported pain (14.4% poor mental health, 85.6% good mental health). Compared with individuals with good mental health, individuals with poor mental health had higher unadjusted total expenditures (US$20 231 vs US$13 379, p<0.0001), higher prescription medication expenditures (US$5924 vs US$3610, p<0.0001) and higher other expenditures (US$4833 vs US$2285, p<0.0001). In adjusted multivariable linear regression models, there were no differences in expenditures between those with poor mental health and those with good mental health status.

CONCLUSIONS

There were no statistically significant differences in adjusted annual (2018) positive healthcare expenditures among older US adults with pain and poor versus good mental health status.

Comparison of Health Care Expenditures Among U.S. Older Adults With Pain Who Reported Frequent Exercise Versus Nonfrequent Exercise

This cross-sectional study included a nationally representative sample of U.S. adults aged ≥50 years with self-reported pain in the past 4 weeks from the 2018 Medical Expenditure Panel Survey. Adjusted linear regression analyses accounted for the complex survey design and assessed differences in several types of annual health care expenditures between individuals who reported frequent exercise (≥30 min of moderate-vigorous intensity physical activity ≥5 times per week) and those who did not. Approximately 23,940,144 of 56,979,267 older U.S. adults with pain reported frequent exercise. In adjusted analyses, individuals who reported frequent exercise had 15% lower annual prescription medication expenditures compared with those who did not report frequent exercise (p = .007). There were no statistical differences between frequent exercise status for other health care expenditure types (p > .05). In conclusion, adjusted annual prescription medication expenditures were 15% lower among older U.S. adults with pain who reported frequent exercise versus those who did not.

Associations of multiple (≥5) chronic conditions among a nationally representative sample of older United States adults with self-reported pain

OBJECTIVES

The association between an individuals' demographic and health characteristics and the presence of multiple chronic conditions is not well known among older United States (US) adults. This study aimed to identify the prevalence and associations of having multiple chronic conditions among older US adults with self-reported pain.

METHODS

This retrospective, cross-sectional study used data from the 2017 Medical Expenditure Panel Survey. Study subjects were aged ≥50 years and had self-reported pain in the past four weeks. The outcome variable was multiple (≥5) chronic conditions (vs. <5 chronic conditions). Hierarchical logistic regression models were used to identify significant associations between demographic and health characteristics and multiple chronic conditions with significance indicated at an a priori alpha level of 0.05. The complex survey design was accounted for when obtaining nationally-representative estimates.

RESULTS

The weighted population was 57,074,842 US older adults with pain, of which, 66.1% had ≥5 chronic conditions. In fully-adjusted analyses, significant associations of ≥5 comorbid chronic conditions included: age 50-64 vs. ≥65 years (adjusted odds ratio [AOR]=0.478, 95% confidence interval [CI]=0.391, 0.584); male vs. female gender (AOR=1.271, 95% CI=1.063, 1.519); white vs. other race (AOR=1.220, 95% CI=1.016, 1.465); Hispanic vs. non-Hispanic ethnicity (AOR=0.614, 95% CI=0.475, 0.793); employed vs. unemployed (AOR=0.591, 95% CI=0.476, 0.733); functional limitations vs. no functional limitations (AOR=1.862, 95% CI=1.510, 2.298); work limitations vs. no work limitations (AOR=1.588, 95% CI=1.275, 1.976); little/moderate vs. quite a bit/extreme pain (AOR=0.732, 95% CI=0.599, 0.893); and excellent/very good (AOR=0.375, 95% CI=0.294, 0.480) or good (AOR=0.661, 95% CI=0.540, 0.810) vs. fair/poor physical health.

CONCLUSIONS

Approximately 38 million of the 57 million US older adults with pain in this study had ≥5 chronic conditions in 2017. Several characteristics were associated with multiple chronic conditions, which may be important for health care professionals to consider when working with patients to manage their pain. This study was approved by The University of Arizona Institutional Review Board (2006721124, June 12, 2020).

Validation Assessment of a Pain Interference Questionnaire among Student Pharmacists

Validation studies of pain interference instruments used among student pharmacists are rare yet essential for understanding their appropriate use and interpretation in pharmacy education and practice. This study conducted validation and reliability assessments of a five-item Pain Interference Scale previously administered to student pharmacists. Construct validity was assessed using Rasch analysis. Unidimensionality was measured using: point-biserial measure correlations; percent of raw variance explained by items; difference between expected; variance modeled by items; and Rasch model fit. To assess scale functioning, response frequency distribution, observed average and sample expected logit distribution, Andrich logit distribution, item separation, and item reliability were assessed. Visual examination of the Item-Person Map determined content validity. Items explained 64.2% of data raw variance. The difference between raw variance modeled and observed was 0.6. Point-biserial measure correlations were >0.77. Item mean-square infits were 0.7–1.3 while outfit measures were 0.72–1.16. There were >10 responses per response category, response frequency and Andrich thresholds progressively advanced, and observed average and sample expected logits advanced monotonically, Andrich logits = −2.33–1.69, item separation = 2.61, and item reliability = 0.87. Item probability curves indicated response categories were minimally yet adequately distinct. Cronbach’s alpha = 0.93. The Item-Person Map had a ceiling effect indicating content gaps. In conclusion, the pain interference instrument has acceptable construct validity yet contains content gaps. Additional difficult items should be added to the instrument to better capture pain interference among student pharmacists.

Patterns of Healthcare Expenditures among Older United States Adults with Pain and Different Perceived Health Status

The objective of this study was to assess the pattern of healthcare expenditures among United States (U.S.) adults aged ≥50 years with pain and annual total positive healthcare expenditures with different levels of perceived health. The study used the 2018 Medical Expenditure Panel Survey data. Unadjusted and adjusted linear regression models were used to compare logarithmically transformed total healthcare expenditures between those with excellent, very good, good, and fair/poor health. The a priori alpha value was 0.05. The study included 5123 U.S. adults aged ≥50 with self-reported pain (excellent = 8.9%, very good = 28.3%, good = 36.2%, fair/poor = 26.6%). In adjusted analyses, compared to fair/poor health, those with excellent health had the greatest adjusted reduction in expenditures (55% lower), followed by very good health (36.5% lower) and good health (24.9% lower). In conclusion, total positive healthcare expenditures were comparatively lower among those with better perceived health status for older (≥50 years) U.S. adults with pain that interfered with normal work in the past four weeks.

Health Costs of Older Opioid Users with Pain and Comorbid Hypercholesterolemia or Hypertension in the United States

This retrospective cross-sectional database study used 2018 Medical Expenditure Panel Survey data to quantify and assess differences in healthcare expenditures between opioid users and non-users among a non-institutionalized sample of older (≥50 years) United States adults with pain in the past four weeks and a diagnosis of comorbid hypercholesterolemia (pain-hypercholesterolemia group) or hypertension (pain-hypertension group). Hierarchical multivariable linear regression models were constructed by using logarithmically transformed positive cost data and adjusting for relevant factors to assess cost differences between groups. Percent difference between opioid users and non-users was calculated by using semi-logarithmic equations. Healthcare costs included inpatient, outpatient, office-based, emergency room, prescription medication, other, and total costs. In adjusted analyses, compared to non-users, opioid users in the pain-hypercholesterolemia and pain-hypertension groups respectively had 66% and 60% greater inpatient expenditure, 46% and 55% greater outpatient expenditure, 67% and 72% greater office-based expenditure, 50% and 60% greater prescription medication expenditure, 24% and 22% greater other healthcare expenditure, and 85% and 93% greater total healthcare expenditure. In conclusion, adjusted total healthcare expenditures were 85-93% greater among opioid users versus non-users in older United States adults with pain and comorbid hypercholesterolemia or hypertension. Future research is needed to identify opioid use predictors among these populations and reduce expenditures.

Nationally Representative Health Care Expenditures of Community-Based Older Adults with Pain in the United States Prescribed Opioids vs Those Not Prescribed Opioids

OBJECTIVE

To compare health care expenditures between older US adults (≥50 years) with pain who were prescribed opioid medications and those who were not.

DESIGN

Cross-sectional.

SETTING

Community-based adults in the 2015 Medical Expenditure Panel Survey (MEPS).

SUBJECTS

Nationally representative sample of US adults alive for the calendar year, aged 50 years or older, who reported having pain in the past four weeks.

METHODS

Older US adults (≥50 years) with pain in the 2015 MEPS data were identified. The key independent variable was opioid prescription status (prescribed opioid vs not prescribed opioid). Hierarchical linear regression models assessed health care expenditures (inpatient, outpatient, office-based, emergency room, prescription medications, other, and total) in US dollars for opioid prescription status from a community-dwelling US population perspective, adjusting for covariates.

RESULTS

The 2015 study cohort provided a national estimate of 50,898,592 noninstitutionalized US adults aged ≥50 years with pain in the past four weeks (prescribed opioid N = 16,757,516 [32.9%], not prescribed opioid N = 34,141,076 [67.1%]). After adjusting for covariates, individuals prescribed an opioid had 61% greater outpatient (β = 0.477, P < 0.0001), 69% greater office-based (β = 0.524, P < 0.0001), 14% greater emergency room (β = 0.131, P = 0.0045), 63% greater prescription medication (β = 0.486, P < 0.0001), 29% greater other (β = 0.251, P = 0.0002), and 105% greater total (β = 0.718, P < 0.0001) health care expenditures. There was no difference in opioid prescription status for inpatient expenditures (P > 0.05).

CONCLUSIONS

This study raises awareness of the economic impact associated with opioid use among US older adults with pain. Future research should investigate these variables in greater depth, over longer time periods, and in additional populations.

Association of Self-Reported Functional Limitations among a National Community-Based Sample of Older United States Adults with Pain: A Cross-Sectional Study

The characteristics of self-reported functional limitations among older United States (US) adults with pain are currently unknown. This cross-sectional study aimed to determine the characteristics associated with functional limitations among non-institutionalized older (≥50 years) US adults with pain using 2017 Medical Expenditure Panel Survey (MEPS) data. Eligible subjects were alive for the calendar year, aged ≥50 years, and experienced pain within the past four weeks. Hierarchical logistic regression models were utilized to determine significant characteristics associated with functional limitations (outcome variable; yes, no). Functional limitations included difficulty with bending, stooping, climbing stairs, grasping objects, lifting, reaching overhead, standing for long periods of time, or walking. Extrapolation of national data values was possible by adjusting for the complex MEPS design. We found approximately 22 million of the 57 million older US adults (≥50 years) who reported pain had a functional limitation in 2017. Characteristics associated with functional limitations included: gender, race, ethnicity, employment status, marital status, pain intensity, physical health, number of chronic conditions, and frequent exercise status. Knowledge of characteristics associated with functional limitations may provide an opportunity to identify and resolve gaps in patient care among this population.

Association of Self-Reported Frequent Exercise Among a Nationally Representative Sample of Older People in the United States With Self-Reported Pain

This retrospective, cross-sectional database study aimed to identify characteristics associated with self-reported frequent exercise (defined as moderate- to vigorous-intensity exercise for ≥30 min five times a week) in older U.S. (≥50 years) adults with pain in the past 4 weeks, using 2017 Medical Expenditure Panel Survey data and hierarchical logistic regression models. The variables significantly associated with frequent exercise included being male (adjusted odds ratio [AOR] = 1.507, 95% confidence interval [CI] [1.318, 1.724]); non-Hispanic (AOR = 1.282, 95% CI [1.021, 1.608]); employed (AOR = 1.274, 95% CI [1.040, 1.560]); having no chronic conditions versus ≥5 conditions (AOR = 1.576, 95% CI [1.094, 2.268]); having two chronic conditions versus ≥5 conditions (AOR = 1.547, 95% CI [1.226, 1.952]); having no limitation versus having a limitation (AOR = 1.209, 95% CI [1.015, 1.441]); having little/moderate versus quite/extreme pain (AOR = 1.358, 95% CI [1.137, 1.621]); having excellent/very good versus fair/poor physical health (AOR = 2.408, 95% CI [1.875, 3.093]); and having good versus fair/poor physical health (AOR = 1.337, 95% CI [1.087, 1.646]). These characteristics may be useful to create personalized pain management protocols that include exercise for older adults with pain.

Predictors of Mental Health Status among Older United States Adults with Pain

Poor mental health is common among older adults with pain, resulting in high economic burden and impaired quality of life. This retrospective, cross-sectional database study aimed to identify characteristics associated with good mental health status among United States (US) adults aged ≥50 years with self-reported pain in the last four weeks using a weighted sample of 2017 Medical Expenditure Panel Survey data. Hierarchical multivariable logistic regression models were used to identify statistically significant predictors of good (versus poor) perceived mental health status. From a weighted population of 57,074,842 individuals, 85.5% (95% confidence interval (CI) = 84.4%, 86.7%) had good perceived mental health. Good mental health was associated most strongly with physical health status (adjusted odds ratio (AOR) = 9.216, 95% CI = 7.044, 12.058). Employed individuals were 1.7 times more likely to report good mental health versus unemployed (AOR = 1.715, 95% CI = 1.199, 2.452). Individuals who had completed less than high school education (AOR = 0.750, 95% CI = 0.569, 0.987) or who reported having a limitation (AOR = 0.513, 95% CI = 0.384, 0.684) were less likely to report good mental health. These key characteristics can be utilized to predict mental health status, which may be investigated to better manage concurrent pain and poor mental health.

Identifying Predictive Characteristics of Opioid Medication Use among a Nationally Representative Sample of United States Older Adults with Pain and Comorbid Hypertension or Hypercholesterolemia

The prevalence of older adults with pain and comorbid cardiovascular conditions is increasing in the United States (U.S.). This retrospective, cross-sectional database study used 2017 Medical Expenditure Panel Survey data and hierarchical logistic regression models to identify predictive characteristics of opioid use among a nationally representative sample of older U.S. adults (aged ≥50 years) with pain in the past four weeks and comorbid hypertension (pain-hypertension group) or hypercholesterolemia (pain-hypercholesterolemia group). The pain-hypertension group included 2733 subjects (n = 803 opioid users) and the pain-hypercholesterolemia group included 2796 subjects (n = 795 opioid users). In both groups, predictors of opioid use included: White race versus others, Hispanic versus non-Hispanic ethnicity, 1 versus ≥5 chronic conditions, little/moderate versus quite a bit/extreme pain, good versus fair/poor perceived mental health, functional limitation versus no functional limitation, smoker versus non-smoker, and Northeast versus West census region. In addition, Midwest versus West census region was a predictor in the pain-hypertension group, and 4 versus ≥5 chronic conditions was a predictor in the pain-hypercholesterolemia group. In conclusion, several characteristics of older U.S. adults with pain and comorbid hypertension or hypercholesterolemia were predictive of opioid use. These characteristics could be addressed to optimize individuals' pain management and help address the opioid overdose epidemic.

Preliminary Investigation of Pharmacist-Delivered, Direct-to-Provider Interventions to Reduce Co-Prescribing of Opioids and Benzodiazepines among a Medicare Population

Co-prescribing of opioids and benzodiazepines can lead to overdoses and mortality. This retrospective study analyzed prescription claims data collected in 2016. A national medication therapy management (MTM) program conducted prescriber-based outreach interventions for patients with concurrent opioid and benzodiazepine prescriptions. The pharmacist's direct-to-prescriber intervention was conducted following a targeted medication review. The pharmacist initiated interventions with the prescriber via facsimile to recommend discontinuation of concurrent use of these drugs. This study included 57,748 subjects who were predominantly female (67.83%) and aged ≥ 65 years (66.90%). Prescribers were most commonly located in the southern United States (46.88%). The top prescribed opioid medications were hydrocodone-acetaminophen (33.60%), tramadol (17.50%), and oxycodone-acetaminophen (15.66%). The top benzodiazepines prescribed concurrently with opioids were alprazolam (35.11%), clonazepam (21.16%), and lorazepam (20.09%). Based on the pharmacists' recommendations, 37,990 (65.79%) resulted in a medication discontinuation (benzodiazepines 40.23%; opioids 59.77%) by the provider. There were significant differences in the proportion of opioids discontinued by subject age (p < 0.001) and prescriber geographical region (p = 0.0148). The top medications discontinued by the prescriber were hydrocodone-acetaminophen (18.86%), alprazolam (14.19%), and tramadol HCl (13.51%). This study provides initial evidence for pharmacist-supported, direct-to-prescriber programs as an effective medication safety strategy.