Explaining Cognitive Impairment Among Adults with Chronic Pain: Non-Linear Decomposition Analysis of 2015 MEPS Data
Author(s)
Safarudin R1, Alabaku O2, Alheraki SZM3, Sambamoorthi U4
1West Virginia University, School of Pharmacy, Morgantown, WV, USA, 2University of Pittsburgh, School of Pharmacy, PharmD Program, Winthrop, MA, USA, 3West Virginia University Hospitals, Department of Emergency Medicine, Morgantown, WV, USA, 4West Virginia University, School of Pharmacy, Department of Pharmaceutical Systems and Policy, Morgantown, WV, USA
OBJECTIVES: Use a non-linear decomposition method to estimate the relative contribution of biological, social determinants, and clinical factors to cognitive impairment among adults with and without pain. METHODS: We adopted a cross-sectional design using data from the 2015 Medical Expenditure Panel Survey on non-institutionalized civilian adults (N = 21,374). We identified cognitive impairment (yes/no) from the household file by asking if the person (1) experienced confusion or memory loss, (2) had problems making decisions, or (3) required supervision for their safety. The pain variable was measured by asking “how much pain interfered with normal work” during the past 4 weeks. It was categorized as: ‘Pain’ (Moderate, Severe, and Extreme) and ‘No Pain’ (Not at all and a little bit). We controlled for other individual-level factors i.e., biological [sex, age, race], social [employment, marital status, poverty status, education health insurance, prescription coverage], clinical [asthma, COPD, cancer, diabetes mellitus, mental health conditions, hypercholesterolemia], and lifestyle factors [body mass index, exercise, smoking status]. A post-regression Fairlie non-linear decomposition technique was used to examine individual-level variables explaining the difference in cognitive impairment between the two pain groups. RESULTS: Adults with pain constituted 21.1% of the study sample. Among adults with and without pain, 31.2% and 6.0% had cognitive impairment, respectively [difference= 25.2 percentage points]. After controlling for individual-level variables, adults with pain were more likely to report any impaired cognition than those without pain (AOR= 3.02, 95%CI= 2.70, 3.37). Post-regression decomposition analyses revealed that 10.4 percentage points of the difference in cognitive impairment were explained by differences in individual characteristics. Social determinants (i.e., employment, education, marital status, and poverty status) and mental health were the leading drivers of poor cognition among adults with pain. CONCLUSIONS: Health in All Policies across health and non-health sectors could lead to an improvement in cognitive functioning of adults with pain.
Conference/Value in Health Info
2021-05, ISPOR 2021, Montreal, Canada
Value in Health, Volume 24, Issue 5, S1 (May 2021)
Code
PNS26
Topic
Clinical Outcomes, Epidemiology & Public Health, Patient-Centered Research
Topic Subcategory
Clinical Outcomes Assessment, Patient-reported Outcomes & Quality of Life Outcomes
Disease
No Specific Disease
Explore Related HEOR by Topic