Assessment of Unmet Health-Related Social Needs Among Patients With Mental Illness Enrolled in Medicare Advantage.

Importance: A large body of literature has found associations between unmet health-related social needs (HRSNs) and adverse mental health outcomes. A comparative analysis of the risks associated with HRSNs among patients with varying severity of mental illness and an assessment of how these risks compare with those of individuals without mental illness are needed. Objective: To examine the prevalence and risks of HRSNs among patients with serious and persistent mental illness (SPMI), patients with mental health diagnoses but no serious and persistent mental illness (non-SPMI), and patients with both SPMI and non-SPMI compared with individuals without mental illness. Design, Setting, and Participants: This retrospective cohort study used data from the Accountable Health Communities HRSN Screening Tool surveys, which target a nationally representative sample of Medicare Advantage members of a large payer (Humana Inc). The surveys were conducted between October 16, 2019, and February 29, 2020. Of the initial 329 008 eligible Medicare Advantage enrollees, 70 273 responded to the survey (21.4% response rate). Of those, 56 081 respondents (79.8%) had complete survey responses and were included in the final analytic sample. Main Outcomes and Measures: Outcomes of interest included 7 HRSNs (financial strain, food insecurity, housing instability, housing quality, severe loneliness, transportation problems, and utility affordability) based on responses to the survey. The major independent variable was the presence of mental illness up to 12 months preceding the date of survey completion. Codes indicating mental illness listed as the primary, principal, or secondary diagnoses of a patient's inpatient or outpatient medical claims data were identified, and participants were grouped into 4 cohorts: SPMI, non-SPMI, SPMI plus non-SPMI, and no mental illness. Results: Among 56 081 older adults, the mean (SD) age was 71.31 (8.59) years; 32 717 participants (58.3%) were female, and 43 498 (77.6%) were White. A total of 21 644 participants (38.6%) had at least 1 mental illness diagnosis in the past year, 30 262 (54.0%) had an HRSN, and 14 163 (25.3%) had both mental illness and an HRSN. Across all specific HRSNs, the odds of experiencing the respective HRSN was most substantial for those with SPMI plus non-SPMI vs those with only non-SPMI or SPMI. The HRSN with the largest risk differences among the study cohorts was severe loneliness; compared with the cohort without mental illness, the non-SPMI cohort had 2.07 times higher odds (95% CI, 1.84-2.32; P < .001), the SPMI cohort had 3.35 times higher odds (95% CI, 3.03-3.71; P < .001), and the SPMI plus non-SPMI cohort had 5.13 times higher odds (95% CI, 4.68-5.61; P < .001) of severe loneliness. Conclusions and Relevance: In this study, the increased risk of having HRSNs associated with SPMI, alone or in combination with non-SPMI, emphasizes the need for more targeted interventions to address social needs in this vulnerable population.

Remote Care Management for Older Adult Populations With Elevated Prevalence of Depression or Anxiety and Comorbid Chronic Medical Illness: A Systematic Review.

BACKGROUND: Comorbidity of psychiatric and medical illnesses among older adult populations is highly prevalent and associated with adverse outcomes. Care management is a common form of outpatient support for both psychiatric and medical conditions in which assessment, care planning, and care coordination are provided. Although care management is often remote and delivered by telephone, the evidence supporting this model of care is uncertain. OBJECTIVE: To perform a systematic review of the literature on remote care management programs for older adult populations with elevated prevalence of depression or anxiety and comorbid chronic medical illness. METHODS: A systematic review was performed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A multidatabase search was performed. Articles were included for review if they studied fully remote care management for older adult populations with elevated prevalence of depression or anxiety and chronic medical illness or poor physical health. A narrative synthesis was performed. RESULTS: A total of 6 articles representing 6 unique studies met inclusion criteria. The 6 studies included 4 randomized controlled trials, 1 case-matched retrospective cohort study, and 1 pre-post analysis. Two studies focused on specific medical conditions. All interventions were entirely telephonic. Five of 6 studies involved an intervention that was 3 to 6 months in duration. Across the 6 studies, care management demonstrated mixed results in terms of impact on psychiatric outcomes and limited impact on medical outcomes. No studies demonstrated a statistically significant impact on health care utilization or cost. CONCLUSIONS: Among older adult populations with elevated prevalence of depression or anxiety and comorbid chronic medical illness, remote care management may have favorable impact on psychiatric symptoms, but impact on physical health and health care utilization is uncertain. Future research should focus on identifying effective models and elements of remote care management for this population, with a particular focus on optimizing medical outcomes.

Diagnostic accuracy of the repeatable battery of the assessment of neuropsychological status update, Spanish version, in predicting Alzheimer's disease among Hispanic older adults in the United States reporting memory problems.

OBJECTIVES: There are few standardized, Spanish-language diagnostic tools to help identify Hispanic persons at early stages of Alzheimer's disease (AD). This study evaluated the accuracy of the Spanish version of the Repeatable Battery for the Assessment of Neuropsychological Status-Update (RBANS) in predicting AD in older Hispanic adults in the United States reporting memory problems. METHODS: We analyzed data from age, sex, and education level propensity score-matched Hispanic memory clinic patients with (n = 38) and without (n = 38) a clinical diagnosis of AD. Estimates of diagnostic accuracy included sensitivity, specificity, predictive value, and receiver operating characteristic analysis. RESULTS: After controlling for sex and matched pairs, the Total Scale score [area under curve (AUC) = 0.7417] and the Immediate (AUC = 0.7258) and Delayed (AUC = 0.7735) Memory index scores provided better estimates of diagnostic accuracy than Language, Attention, and Visuospatial/Constructional index scores. A minus 2-standard deviation (SD) cut point enhanced the predictive probability of the Delayed Memory index score. A cut point of -1.5 SD optimized the predictive probability of the Total Scale score. CONCLUSIONS: These results suggest that optimal cutoff values for the RBANS Delayed Memory index and Total Scale scores that may help identify Hispanic patients with AD as part of a comprehensive diagnostic AD assessment.

Metabolic Monitoring Rates of Youth Treated with Second-Generation Antipsychotics in Usual Care: Results of a Large US National Commercial Health Plan.

Objectives: To examine metabolic monitoring rates in commercially insured children and adolescents treated with a second-generation antipsychotic (SGA) during calendar years (CYs) 2016 and 2017. Methods: In this retrospective study, data were collected from a large national commercial health plan for the period covering January 1, 2016 to December 31, 2017. Commercially insured children and adolescents, aged 8-19 years with ≥2 SGA prescription claims during the CY, were identified for the CY2016 and CY2017 cohorts. The primary outcome of interest was the percentage of subjects with any glucose or lipid metabolism parameter monitoring. Other calculated metabolic testing rates included glucose, hemoglobin A1c (HbA1c), low-density lipoprotein cholesterol (LDL-C), other cholesterol (including triglycerides), and combined glucose and lipid metabolism testing (≥1 test for blood glucose or HbA1c and ≥1 test for LDL-C or other cholesterol). Results: In CY2016 and CY2017, 1502 and 1239 subjects, respectively, were identified for this study. The most common psychiatric diagnoses in CY2016 and CY2017 were major depressive disorder (57.1%, 56.5%, respectively), anxiety disorders (42.9%, 47.5%), attention-deficit/hyperactivity disorder (41.6%, 45.8%), and bipolar disorder (24.1%, 25.9%). The rate of any metabolic testing was 53.5% in CY2016 and 51.3% in CY2017. Glucose testing (50.3%, 46.9%, respectively) was most common in both CYs, followed by LDL-C testing (31.2%, 28.5%). Rates of combined glucose and lipid metabolism testing were 30.7% in CY2016 and 26.9% in CY2017. Conclusions: Given the known potential for adverse cardiometabolic effects, rates of metabolic monitoring associated with SGA use in children and adolescents urgently need to be improved. There is a critical need for understanding barriers to routine monitoring, particularly of lipids, and developing interventions to enhance metabolic monitoring.

Retrospective assessment of patient characteristics and healthcare costs prior to a diagnosis of Alzheimer's disease in an administrative claims database.

BACKGROUND: The objective of this study was to examine patient characteristics and health care resource utilization (HCRU) in the 36 months prior to a confirmatory diagnosis of Alzheimer's disease (AD) compared to a matched cohort without dementia during the same time interval. METHODS: Patients newly diagnosed with AD (with ≥2 claims) were identified between January 1, 2013 to September 31, 2015, and the date of the second claim for AD was defined as the index date. Patients were enrolled for at least 36 months prior to index date. The AD cohort was matched to a cohort with no AD or dementia codes (1:3) on age, gender, race/ethnicity, and enrollment duration prior to the index date. Descriptive analyses were used to summarize patient characteristics, HCRU, and healthcare costs prior to the confirmatory AD diagnosis. The classification and regression tree analysis and logistic regression were used to identify factors associated with the AD diagnosis. RESULTS: The AD cohort (N = 16,494) had significantly higher comorbidity indices and greater odds of comorbid mental and behavioral diagnoses, including mild cognitive impairment, mood and anxiety disorders, behavioral disturbances, and cerebrovascular disease, heart disease, urinary tract infections, and pneumonia than the matched non-AD or dementia cohort (N = 49,482). During the six-month period before the confirmatory AD diagnosis, AD medication use and diagnosis of mild cognitive impairment, Parkinson's disease, or mood disorder were the strongest predictors of a subsequent confirmatory diagnosis of AD. Greater HCRU and healthcare costs were observed for the AD cohort primarily during the six-month period before the confirmatory AD diagnosis. CONCLUSION: The results of this study demonstrated a higher comorbidity burden and higher costs for patients prior to a diagnosis of AD in comparison to the matched cohort. Several comorbidities were associated with a subsequent diagnosis of AD.

Educational intervention for physicians to address the risk of opioid abuse.

OBJECTIVE: To evaluate the impact of a pilot intervention for physicians to support their treatment of patients at risk for opioid abuse. SETTING, DESIGN AND PATIENTS, PARTICIPANTS: Patients at risk for opioid abuse enrolled in Medicare plans were identified from July 1, 2012 to April 30, 2014 (N = 2,391), based on a published predictive model, and linked to 4,353 opioid-prescribing physicians. Patient-physician clusters were randomly assigned to one of four interventions using factorial design. INTERVENTIONS: Physicians received one of the following: Arm 1, patient information; Arm 2, links to educational materials for diagnosis and management of pain; Arm 3, both patient information and links to educational materials; or Arm 4, no communication. MAIN OUTCOME MEASURES: Difference-in-difference analyses compared opioid and pain prescriptions, chronic high-dose opioid use, uncoordinated opioid use, and opioid-related emergency department (ED) visits. Logistic regression compared diagnosis of opioid abuse between cases and controls postindex. RESULTS: Mailings had no significant impact on numbers of opioid or pain medications filled, chronic high-dose opioid use, uncoordinated opioid use, ED visits, or rate of diagnosed opioid abuse. Relative to Arm 4, odds ratios (95% CI) for diagnosed opioid abuse were Arm 1, 0.95(0.63-1.42); Arm 2, 0.83(0.55-1.27); Arm 3, 0.72(0.46-1.13). While 84.7 percent had ≥1 psychiatric diagnoses during preindex (p = 0.89 between arms), only 9.5 percent had ≥1 visit with mental health specialists (p = 0.53 between arms). CONCLUSIONS: Although this intervention did not affect pain-related outcomes, future interventions involving care coordination across primary care and mental health may impact opioid abuse and improve quality of life of patients with pain.

Impact of a Step Therapy for Guanfacine Extended-Release on Medication Utilization and Health Care Expenditures Among Individuals Receiving Treatment for ADHD.

BACKGROUND: While step therapy (ST) policies are generally effective at reducing cost through the managed utilization of targeted medications, the clinical implications of ST policies are not clear and may vary across therapeutic areas. Guanfacine extended-release (GXR) is approved by the FDA for the treatment of attention-deficit/hyperactivity disorder (ADHD) as both monotherapy and adjunctive to stimulant treatment. At the introduction of GXR to the market, Humana implemented an ST policy on GXR requiring the documentation of previous treatment, intolerance, or contraindication to generic clonidine or guanfacine. OBJECTIVE: To examine the impact of a GXR ST coverage determination (i.e., approved vs. denied) on medication utilization and health care costs among members of a commercial health plan with an ST policy for GXR.  METHODS: This study was a retrospective cohort study of administrative claims data. Humana commercial members prescribed GXR who had an ST coverage determination review were identified. All members included in this analysis were required to be aged 6-17 years, have a diagnosis of ADHD or be receiving stimulant medication, have an ST coverage determination (index event) between September 1, 2009, and May 30, 2012, and have 6 months of pre- and post-index continuous enrollment. Members were assigned to either the approved or denied group based on the outcome of the ST coverage determination. Medical and pharmacy claims data were used to measure baseline demographic and clinical characteristics and to measure medication utilization and health care costs. Outcomes assessed during follow-up included ADHD medication use, proportion of days covered (PDC) with any ADHD medication treatment, time to first observed post-index ADHD treatment, and all-cause and mental health (MH)-related health care costs. Administrative costs associated with the coverage determination process were also estimated. Bivariate and multivariable adjusted analyses were conducted to compare medication utilization and health care costs between the approved and denied groups. RESULTS: A total of 642 members were included in the analysis (denied group n = 395 [61.5%], approved group n = 247 [38.5%]). The approved and denied groups were similar in terms of baseline demographics, provider characteristics, and baseline MH diagnoses, with the exception of anxiety disorders being more prevalent in the approved group compared with the denied group (18.2% vs. 10.6%, P = 0.006). A denied GXR coverage determination was associated with a greater percentage of members receiving no ADHD treatment post-index (13.9% vs. 3.2%, P less than 0.001), greater mean [SD] number of days between index and first observed post-index ADHD medication claim (44.5 [59.6] vs. 17.6 [33.4], P less than 0.001), and lower mean [SD] PDC with any ADHD medication post-index (0.59 [0.33] vs. 0.75 [0.26], P less than 0.001). These findings remained statistically significant in multivariable regression models. Unadjusted pre-index median total health care costs and MH-related costs were greater among the approved group compared with the denied group (total health care: $1,582 vs. $1,465, P = 0.033; MH-related: $993 vs. $981, P = 0.020). Likewise, post-index median total health care and MH-related costs were greater among the approved group compared with the denied group (total: $2,056 vs. $1,420, P less than 0.001; MH-related: $1,543 vs. $946, P less than 0.001). After adjustment for potentially confounding covariates including pre-index costs, there were no statistically significant differences between the approved and denied groups in all-cause total health care (P = 0.393) or MH-related health care costs (P = 0.054).  CONCLUSIONS: The current study found that GXR coverage denial was associated with lower rate of ADHD medication utilization, greater delay in receiving ADHD medication, and lower PDC with ADHD medication. There were no differences observed between the approved and denied group in terms of all-cause total health care or MH-related total health care costs after controlling for potentially confounding variables. Prior to implementation in the ADHD therapeutic area and others, payers should consider the potentially unintended consequences of ST policies, including delay in treatment and undertreatment.

Relationship of diabetes complications severity to healthcare utilization and costs among Medicare Advantage beneficiaries.

OBJECTIVES: This study evaluated the usefulness of the Diabetes Complications Severity Index (DCSI) in assessing healthcare resource utilization (HRU) and costs among Medicare Advantage plan members diagnosed with type 2 diabetes mellitus (T2DM). STUDY DESIGN: A retrospective cohort study of medical and pharmacy claims of 333,576 Medicare members aged 18 to 89 years with ≥1 medical claim with primary diagnosis or ≥2 medical claims with secondary diagnosis, of T2DM (International Classification of Diseases, Ninth Revision, Clinical Modification code 250.x0 or 250.x2) during the period of January 1, 2010, to December 31, 2011. METHODS: DCSI was assessed concurrently with HRU and healthcare costs (total, medical, and pharmacy). The cohort was subdivided into 6 DCSI groups: DCSI = 0 (no complications) through DCSI = 5+ (≥5). Associations of complication severity with HRU and costs of care were summarized using regression models. RESULTS: A 1-point increase in DCSI was associated with a $2744 increase in total costs (a $2480 increase in medical costs plus a $264 increase in pharmacy costs). Increasing DCSI was associated with greater use of inpatient and emergency department (ED) services. Among the higher complications subgroups, there were greater representations of older patients, men, and cases of depressive disorders and hypoglycemia. CONCLUSIONS: DCSI is useful for identifying Medicare plan members with T2DM who should be targeted for clinical programs. HRU and costs increased with DCSI severity. Increases in high-cost HRU, driven by inpatient and ED visits, suggest that preventing or delaying utilization of these services are essential to driving down costs in the T2DM population. Furthermore, high rates of depression and hypoglycemia warrant early screening and necessary treatment to improve patient outcomes.

Racial/ethnic and gender differences in severity of diabetes-related complications, health care resource use, and costs in a Medicare population.

This retrospective cohort study evaluated associations of race/ethnicity and gender with outcomes of diabetes complications severity, health care resource utilization (HRU), and costs among Medicare Advantage health plan members with type 2 diabetes (T2DM). Medical and pharmacy claims were evaluated for 333,576 members continuously enrolled from January 1, 2010, to December 31, 2011, aged 18-89 years, with ≥1 primary diagnosis medical claim, or ≥2 claims with a secondary diagnosis of T2DM (International Classification of Diseases, Ninth Revision, Clinical Modification code 250.x0 or 250.x2). Complications severity assessment by Diabetes Complications Severity Index ranged from 0 (no complications) to 5+. Mean (SD) all-cause medical, pharmacy, and total costs were reported alongside all-cause HRU by place of service (outpatient, inpatient, emergency room [ER]) and number of visits. Multivariate regression showed being Hispanic, black, or male was associated with higher prevalence of more severe complications. This racial/ethnic disparity was more pronounced among females, among whom odds of having more severe complications were higher for Hispanic and black as compared to white females [(Hispanic vs. white odds ratio [OR], 1.40; 95% confidence interval [CI], 1.32-1.48), and (black vs. white OR, 1.22; 95% CI, 1.19-1.25)]. Regardless of gender, blacks had more ER visits than whites. White females incurred the highest total health care costs (mean annual costs: $13,086; 95% CI, $12,935-$13,240, vs. Hispanic females: $10,732; 95% CI, $10,406-$11,067). These effects held regardless of other demographic and clinical attributes. These findings suggest racial/ethnic and gender differences exist in certain T2DM clinical and economic outcomes.

Association of out-of-pocket pharmacy costs with adherence to varenicline.

BACKGROUND: Varenicline, a nicotinic acetylcholine receptor partial agonist, is a pharmacotherapy indicated for smoking cessation treatment. To date, no research has examined the relationship between out-of-pocket (OOP) expense and varenicline adherence among Medicare beneficiaries. OBJECTIVES: To (a) characterize medication utilization patterns of varenicline among Medicare members newly initiated on varenicline and (b) examine the relationship between member OOP expense and varenicline medication adherence. METHODS: In this retrospective cohort study, pharmacy claims data were used to identify Medicare Advantage Prescription Drug Plan (MAPD) members newly initiated on varenicline. Demographic and clinical characteristics, varenicline medication utilization patterns, and pharmacy costs (total and varenicline-specific) were determined for members included in the study. Varenicline adherence was measured by calculating the proportion of days covered (PDC) over a period of 84 days (12 weeks) after initiation. Multiple regression analysis was used to examine the relationship between varenicline OOP cost and varenicline medication utilization, while controlling for sociodemographic characteristics, clinical factors, and nonvarenicline pharmacy costs. RESULTS: A total of 15,452 MAPD members were included in the analysis. Mean (SD) subject age was 62.6 (10.0) years; 21.1% (n = 3,256) were dual eligible; and 33.0% (n = 5,106) received a low-income subsidy. Mean (SD) initial varenicline treatment episode duration was 50.8 (37.8) days, with a mean (SD) varenicline days' supply of 47.8 (32.6) obtained by members during the initial treatment episode. Mean (SD) PDC was 0.51 (0.24), and 14.9% (n = 2,302) of members were classified as adherent to treatment (PDC ≥ 0.80). Greater varenicline OOP expense was significantly associated with lower PDC (regression coefficient = -0.058, P less than 0.001) and significantly associated with lower odds of receiving a refill for varenicline (odds ratio 0.594, 95% CI: 0.540-0.655, P less than 0.001). CONCLUSIONS: Among Medicare beneficiaries newly initiated on varenicline, medication adherence was suboptimal, and greater OOP cost was associated with lower adherence and lower odds of refilling varenicline.

Household members of persons with Alzheimer's disease: health conditions, healthcare resource use, and healthcare costs.

OBJECTIVES: To compare medical condition burden, healthcare resource use, and healthcare costs of household members (HHMs) of individuals diagnosed with Alzheimer's disease (AD) with those of HHMs of matched individuals without AD. DESIGN: Retrospective cohort study based on administrative claims data collected between January 1, 2007, and December 31, 2011. SETTING: Medicare Advantage Prescription Drug (MAPD) plan. PARTICIPANTS: MAPD plan members with a diagnosis of AD (International Classification of Disease Ninth Revision, Clinical Modification, code 331.0) were selected and linked to a HHM to form patient-HHM dyads. AD dyads were matched to non-AD dyads. MEASUREMENTS: Health-related endpoints, including medical condition burden, healthcare resource use, and direct healthcare costs, were measured during 36 months of continuous health plan enrollment. RESULTS: Individuals with AD (n = 1,861) were linked to HHMs (n = 1,861), and these AD dyads were matched to 1,861 non-AD patient-HHM dyads. AD HHMs had greater medical condition burden scores than non-AD HHMs, with mood disorders, anxiety disorders, insomnia, substance abuse or dependence, cardiovascular disease, and rheumatoid arthritis being more prevalent in AD HHMs. Emergency department and outpatient service use were more common in AD HHMs than in non-AD HHMs, and AD HHMs had greater healthcare costs. CONCLUSION: HHMs of individuals diagnosed with AD demonstrated greater medical condition burden, healthcare resource use, and direct healthcare costs than non-AD HHMs. These findings demonstrate the significant clinical and financial impact of AD on HHMs of individuals with AD.

Impact of a pregabalin step therapy policy among medicare advantage beneficiaries.

BACKGROUND: Managed healthcare organizations often utilize formulary management strategies such as prior authorization and step therapy to guide appropriate medication use and to control medication expenditures. The objective of this study was to examine clinical and economic outcomes associated with implementation of a pregabalin step therapy (ST) policy among Medicare Advantage Prescription Drug (MAPD) members. METHODS: Pharmacy and medical claims data from Humana (restricted cohort; ST policy implemented 01/01/2009) and Thomson Reuters MarketScan(®) (unrestricted cohort) were analyzed for MAPD members aged 65 to 89 years receiving treatment for painful diabetic peripheral neuropathy (pDPN), postherpetic neuralgia (PHN) or fibromyalgia (FM). Difference-in-differences (DID) was used to examine year-over-year changes in disease-related and all-cause utilization and costs. Regression analyses examined medication utilization and healthcare expenditures after controlling for between-group compositional differences. RESULTS: We identified 13,911 members in the restricted cohort and matched to members from unrestricted health plans. FM (51.0%) and pDPN (41.8%) were the most common diagnoses. Members in the unrestricted cohort were older and had a greater level of comorbidity than members in the restricted cohort. The restricted cohort demonstrated greater year-over-year decrease in pregabalin utilization and increase in year-over-year gabapentin utilization compared with the unrestricted cohort. ST restriction was associated with an increase in disease-related pharmacy costs and a decrease in total medical costs for the restricted cohort compared with the unrestricted cohort. There was no difference between cohorts in total healthcare cost. CONCLUSION: After controlling for differences in age and comorbidity burden between the groups, implementation of a pregabalin ST restriction was associated with increased disease-related pharmacy costs and decreased total medical costs; however, there was no net difference in total healthcare cost or total pharmacy cost.

Pain conditions ranked by healthcare costs for members of a national health plan.

Healthcare resource utilization (HCRU) and associated costs specific to pain are a growing concern, as increasing dollar amounts are spent on pain-related conditions. Understanding which pain conditions drive the highest utilization and cost burden to the healthcare system would enable providers and payers to better target conditions to manage pain adequately and efficiently. The current study focused on 36 noncancer chronic and 14 noncancer acute pain conditions and measured the HCRU and costs per member over 365 days. These conditions were ranked by per-member costs and total adjusted healthcare costs to determine the most expensive conditions to a national health plan. The top 5 conditions for the commercial line of business were back pain, osteoarthritis (OA), childbirth, injuries, and non-hip, non-spine fractures (adjusted annual total costs for the commercial members were $119 million, $98 million, $69 million, $61 million, and $48 million, respectively). The top 5 conditions for Medicare members were OA, back pain, hip fractures, injuries, and non-hip, non-spine fractures (adjusted annual costs for the Medicare members were $327 million, $218 million, $117 million, $82 million, and $67 million, respectively). The conditions ranked highest for both per-member and total healthcare costs were hip fractures, childbirth, and non-hip, non-spine fractures. Among these, hip fractures in the Medicare member population had the highest mean cost per member (adjusted per-member cost was $21,058). Further examination specific to how pain is managed in these high-cost conditions will enable providers and payers to develop strategies to improve patient outcomes through appropriate pain management.

Cost drivers of prescription opioid abuse in commercial and Medicare populations.

OBJECTIVE: Growth in the number of patients with pain conditions, and the subsequent rise in prescription opioid use for treatment, has been accompanied by an increase in diagnosed opioid abuse. Understanding what drives the incremental healthcare costs of members diagnosed with prescription opioid abuse may assist in developing better screening techniques for abuse. DESIGN: This retrospective analysis examined costs, resource use, and comorbidities 365 days pre- and postdiagnosis in prescription opioid users diagnosed with abuse (cases) vs. their matched nondiagnosed controls. Inclusion criteria for cases were diagnosis of opioid abuse (ICD-9-CM: 304.0x, 304.7x, 305.5x, 965.0x). Multivariate analysis used generalized linear modeling with log-transformed cost as dependent variable, controlling for comorbidities. RESULTS: Final sample sizes were 8,390 cases and 16,780 matched controls. Postindex abuse-related costs were $2,099 for commercial members, $539 for Medicare members aged < 65, and $170 for Medicare members aged ≥ 65. A higher percentage of cases had pain conditions (82.0% vs. 57.4% commercial, 95.9% vs. 87.5% Medicare members aged < 65, 92.9% vs. 82.4% Medicare members aged ≥ 65, P < 0.0001), and a higher numbers of cases had multiple opioid prescribers (3.7 vs. 1.4 commercial, 3.3 vs. 2.2 Medicare < 65, 2.2 vs. 1.6 Medicare ≥ 65, P < 0.0001) than controls preindex. Cases had higher rates of substance abuse and psychiatric diagnoses pre- and postindex (P < 0.0001, all comparisons). Adjusted costs were 28% higher for cases than for controls (P < 0.0001). CONCLUSION: Costs of members diagnosed with prescription opioid abuse are driven by higher pain and psychiatric comorbidities relative to nonabuse controls.

The prevalence of diagnosed opioid abuse in commercial and Medicare managed care populations.

PURPOSE: To measure the prevalence of diagnosed opioid abuse and prescription opioid use in a multistate managed care organization. METHODS: This retrospective claims data analysis reviewed the prevalence of diagnosed opioid abuse and the parallel prevalence of prescription opioid use in half-year intervals for commercial and Medicare members enrolled with Humana Inc., from January 1, 2008 to June 30, 2010. Diagnosis of opioid abuse was defined by ≥ 1 medical claim with any of the following ICD-9-CM codes: 304.0 ×, 304.7 ×, 305.5 ×, 965.0 ×, excluding 965.01, and opioid use was defined by ≥ 1 filled prescription for an opioid. The prevalence of opioid abuse was defined by the number of members with an opioid abuse diagnosis, divided by the number of members enrolled in each 6-month interval. RESULTS: The 6-month prevalence of diagnosed opioid abuse increased from 0.84 to 1.15 among commercial and from 3.17 to 6.35 among Medicare members, per 1,000. In contrast, there was no marked increase in prescription opioid use during the same time period (118.0 to 114.8 for commercial members, 240.6 to 256.9 for Medicare members, per 1,000). The prevalence of diagnosed opioid abuse was highest among members younger than 65 years for both genders in commercial (18- to 34-year-olds) and Medicare (35- to 54-year-olds) populations. CONCLUSIONS: Despite a stable rate of prescription opioid use among the observed population, the prevalence of diagnosed opioid abuse is increasing, particularly in the Medicare population.

Inefficiencies in osteoarthritis and chronic low back pain management.

OBJECTIVE: To identify inefficiencies in drug and medical service utilization related to pain management in patients with osteoarthritis and chronic low back pain. STUDY DESIGN: This retrospective cohort study applied revised measures of pain management inefficiencies to Humana Medicare members with osteoarthritis and/or chronic low back pain. METHODS: Subjects had either 2 or more claims for osteoarthritis on different days or 2 or more claims for low back pain 90 or more days apart, from January 1, 2008, to June 30, 2010, with the first occurrence assigned the index date. Inefficiencies were identified for 365 days postindex.Pain-related healthcare costs postindex were compared between members with and without inefficiencies. A generalized linear model calculated adjusted costs per member controlling for age, sex, and comorbidities. RESULTS: Most members diagnosed with osteoarthritis, chronic low back pain, or both (N = 68,453) had at least 1 inefficiency measure (n = 37,863) during the postindex period. High per member costs were for repeated surgical procedures ($26,451) and inpatient admissions ($19,372) compared with members without inefficiencies ($781; P < .0001). High total costs (prevalence times per member cost) were for repeated diagnostic testing and excessive office visits. Members with an inefficiency had adjusted pain-related costs 5.42 times higher than those of members without an inefficiency (P <.0001). CONCLUSIONS: Pain management inefficiencies are common and costly among Humana Medicare members with osteoarthritis and/or chronic low back pain. Further work by providers and payers is needed to determine benefits of member identification and early intervention for these inefficiencies.

Impact of a step-therapy protocol for pregabalin on healthcare utilization and expenditures in a commercial population.

OBJECTIVE: To compare changes in healthcare resource utilization and costs among members with painful diabetic peripheral neuropathy (pDPN), postherpetic neuralgia (PHN), or fibromyalgia (FM) in a commercial health plan implementing pregabalin step-therapy with members in unrestricted plans. METHODS: Retrospective study of outcomes associated with implementation of a pregabalin step-therapy protocol using claims data from Humana ('restricted' cohort) and Thomson Reuters MarketScan ('unrestricted' cohort). Members aged 18-65 years receiving treatment for pDPN, PHN, or FM during 2008 or 2009 were identified; cohorts were matched on diagnosis and geographic region. Baseline to follow-up changes in healthcare resource utilization and costs were determined using difference-in-differences (DID) analysis. Statistical models adjusting for covariates explored relationships between restricted access and outcomes. RESULTS: A total of 3876 restricted cohort members were identified and matched to 3876 unrestricted cohort members. FM was the predominant diagnosis (84.7%). The unrestricted cohort was older (mean = 49.0 (SD = 10.4) years vs 47.6 (SD = 10.5) years; p < 0.001), and had greater comorbidity (RxRisk-V score = 5.4 (SD = 3.2) vs 4.4 (SD = 2.9), p < 0.001) than the restricted cohort. Compared with the unrestricted cohort, the restricted cohort demonstrated a greater year-over-year decrease in pregabalin utilization (-2.6%, p = 0.008), and greater increases in physical therapy and disease-related outpatient utilization (3.7%, p = 0.010 and 3.6%, p = 0.022, respectively). There were no statistically significant net differences in all-cause or disease-related total healthcare, medical, or pharmacy costs between cohorts. After adjusting for baseline compositional differences between cohorts, restricted plan membership was associated with a net increase in all-cause medical ($1222; p = 0.016) and disease-related healthcare costs ($859; p = 0.002). Limitations include use of a combined analysis for pDPN, PHN, and FM, especially since the observed results were likely driven by FM; an inability to link the prescribing of a medication with the condition of interest, which is common to claims analyses; and lack of pain severity information. CONCLUSIONS: Implementation of a pregabalin step-therapy protocol resulted in lower pregabalin utilization, but this restriction was not associated with reductions in total healthcare costs, medical costs, or pharmacy costs.

Exposure to potentially dangerous drug-drug interactions involving antipsychotics.

OBJECTIVE: Antipsychotic drug therapy is the cornerstone of treatment of persons with schizophrenia. Because most antipsychotics are metabolized by the hepatic cytochrome P450 system, concomitant use of an antipsychotic and medications that are competitively metabolized by the same system may cause a potentially harmful drug-drug interaction. This study used a large state's Medicaid claims database to examine the proportion of patients exposed to such interactions and the risk factors associated with exposure. METHODS: Claims from January 2000 through December 2003 for adult patients with a diagnosis of schizophrenia and at least one prescription for an antipsychotic (N=27,909) were examined for pairs of medications identified as potentially causing moderate or severe adverse drug effects. Logistic regression models were estimated to determine potential risk factors associated with exposure to the interaction pairs. RESULTS: A total of 6,417 (23%) patients were exposed to 14,213 potentially harmful interactions; 4,725 patients had at least one exposure from the same pharmacy, and 4,032 patients were exposed by the same physician. The greatest number of exposures (N=1,353) to potentially harmful combinations involved olanzapine and haloperidol. Patients prescribed risperidone were most likely to be exposed to an interaction (13.1%), followed by patients prescribed olanzapine (10.3%), quetiapine (3.3%), and clozapine (3.2%). A higher risk of exposure was associated with being female (odds ratio [OR]=.94), being white (OR=1.43), having depression (OR=1.21), or having impulse-control disorder (OR=1.98). CONCLUSIONS: Interventions by physicians and pharmacies to reduce the prescribing and dispensing of potentially harmful pairs of medications to patients with schizophrenia are recommended.

Glutamatergic effects of divalproex in adolescents with mania: a proton magnetic resonance spectroscopy study.

OBJECTIVES: This study used proton magnetic resonance spectroscopy ((1)H MRS) to evaluate the in vivo effects of extended-release divalproex sodium on the glutamatergic system in adolescents with bipolar disorder, and to identify baseline neurochemical predictors of clinical remission. METHOD: Adolescents with bipolar disorder who were experiencing a manic or mixed episode (N = 25) were treated with open-label, extended-release divalproex (serum levels 85-125 µg/mL) and underwent (1)H MRS scanning at baseline (before treatment) and on days 7 and 28. Healthy comparison subjects (n = 15) also underwent (1)H MRS scanning at the same time points. Glutamate (Glu) and glutamate+glutamine (Glx) concentrations were measured in three voxels: anterior cingulate cortex (ACC), left ventrolateral prefrontal cortex (LVLPFC), and right ventrolateral prefrontal cortex (RVLPFC), and were compared between bipolar and healthy subjects. Within the bipolar subjects, Glu and Glx concentrations at baseline and each time point were also compared between remitters and nonremitters after divalproex treatment. RESULTS: At baseline, no differences in Glu or Glx concentrations between bipolar and healthy subjects were observed. Group (HC vs. BP) by time effects revealed an interaction for Glu in the ACC, and change over time effects for Glx were noted in the ACC in patients with bipolar disorder (increase from day 0 to day 7 and then a decrease from day 7 to day 28) but not in HC. Remitters had significantly lower baseline Glx concentrations in LVLPFC, and in remitters the change in LVLPFC Glu correlated with the change in YMRS score. CONCLUSIONS: Successful treatment of mania with divalproex may be predicted by lower baseline concentrations of Glx in the LVLPFC. In addition, in remitters, the degree of symptomatic improvement is related to the change in Glu concentrations in this region, suggesting that divalproex may work via modulation of the prefrontal glutamatergic system in youth with bipolar disorder.

A randomized, placebo-controlled study of adjunctive ramelteon in ambulatory bipolar I disorder with manic symptoms and sleep disturbance.

This study evaluated the efficacy and tolerability of ramelteon in ambulatory bipolar I disorder with manic symptoms and insomnia. Twenty-one outpatients with bipolar I disorder by Diagnostic and Statistical Manual of Mental Disorders, fourth edition criteria with mild-to-moderate manic symptoms and sleep disturbance were randomized to receive either ramelteon (N=10) or placebo (N=11) in an 8-week, double-blind, fixed-dose (8 mg/day) study. Ramelteon and placebo had similar rates of reduction in ratings of symptoms of insomnia, mania, and global severity of illness. However, ramelteon was associated with improvement in a global rating of depressive symptoms. It was also well tolerated and associated with no serious adverse events. The small sample size may have limited the ability of the study to detect potentially clinically important drug-placebo differences. Further studies of ramelteon in subgroups of bipolar patients with sleep disturbance, including those with depression or euthymia, seem indicated.