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

Nationally Representative Rates of Incident Prescription Opioid Use Among United States Adults and Selected Subpopulations: Longitudinal Cohort Study From the National Health Interview Survey, 2019 to 2020

Nationally representative rates of incident prescription opioid use in the United States adult population and selected subpopulations are unknown. Using the National Health Interview Survey (2019-2020) longitudinal cohort, a cohort with 1-year follow-up created using random cluster probability sampling of noninstitutionalized civilian U.S. adults, we estimated rates and predictors of incident opioid use. Of 21,161 baseline (2019) participants randomly chosen for follow-up, the final analytic sample included 10,415 who also participated in 2020. Exposure variables were selected per the socio-behavioral model of health care utilization: predisposing characteristics (sex, age, race, etc), enabling characteristics (socioeconomic status, insurance status), health status (pain, disability, comorbidities, etc), and health care use (office visits, emergency room visits, and hospitalizations). Among adults who did not use prescription opioids in 2019, a 1-year cumulative incidence of 4.1% (95% confidence interval [CI]: 3.5-4.6) was seen in 2020, with an incidence rate (IR) of 32.6 cases of new prescription opioid use per 1,000 person-years (PYs). Cumulative incidence, IR, and adjusted relative risk (RR) varied by participant characteristics. We observed the highest IR in those with ineffective pain treatment (81.6 cases per 1,000 PY) and those who visited the emergency room ≥3 times (93.8 cases per 1,000 PY). Participants reporting ≥4 painful conditions had an adjusted RR of 2.9 (95% CI: 2.0-4.1), while the RR for those with sleep problems was 2.3 (95% CI: 1.7-3.1). Overall, this study presents nationally representative rates of incident prescription opioid use and suggests that some participants are using prescription opioids as an early-resort analgesic contrary to best-practice guidelines. PERSPECTIVE: This longitudinal cohort study presents nationally representative rates of incident prescription opioid use in U.S. adults and selected subpopulations. Our data suggest that some participants are using prescription opioids as a first-line or early-resort analgesic, contrary to best-practice guidelines.

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.

Characteristics Associated with Multimorbidity among Older United States Adult Opioid Users with Pain

The objective of this study was to investigate the variables associated with multimorbidity status among older United States (US) adults with self-reported pain and opioid use. This study used a cross-sectional retrospective database design that included US adults aged ≥50 years with self-reported pain who used an opioid in 2019 in the Medical Expenditure Panel Survey data. Multivariable logistic regression models, weighted to produce nationally representative estimates, were used to determine variables significantly associated with multimorbidity status (≥2 versus <2 chronic conditions). Significance was determined using an a priori alpha level of 0.05. In the adjusted logistic regression analysis, those aged 50-64 (vs. ≥65 years), Hispanic (vs. non-Hispanic), employed (vs. unemployed), and who performed frequent exercise (vs. no frequent exercise) were associated with lower odds of having multimorbidity. In conclusion, these characteristics may be targets for pain management and opioid use interventions among older US adults. Further research is needed to investigate the variables associated with multimorbidity in greater detail.

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.

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.

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.

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.

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.