Disparities in Medicare beneficiaries' receiving medication synchronization.

BACKGROUND: Medication synchronization (med-sync) aligns patients' monthly or quarterly chronic medications to a predetermined single pickup date at a community pharmacy. The study objective was to examine med-sync enrollment disparities based on Medicare beneficiaries' predisposing, enabling, and need characteristics. METHODS: This was a retrospective cohort study using a Medicare dataset of beneficiaries receiving medications from pharmacies that self-identified as providing med-sync. Medicare beneficiaries who were continuously enrolled in fee-for-service medical and pharmacy benefits during the study period (2014-2016) were included. Study cohorts (med-sync and non-med-sync patients) were defined, and bivariate and multivariable logistic regression analyses were performed. Andersen's Health Services Utilization Model guided our inclusion of predisposing, enabling, and need characteristics to examine for association with med-sync enrollment. RESULTS: A total of 170,180 beneficiaries were included, of which 13,193 comprised the med-sync cohort and 156,987 comprised the non-med-sync cohort. Bivariate logistic regression analysis revealed statistically significant differences (P < 0.05) in cohorts based on age, geographic region, type of residence, number of unique chronic medications, comorbidities, outpatient visits, and inpatient hospitalizations. Beneficiaries had higher odds of being enrolled in med-sync with increasing age (adjusted odds ratio [AOR] 1.003 [95% CI 1.001-1.005]) and if they resided in the Northeast (AOR 1.094 [95% CI 1.018-1.175]), South (AOR 1.109 [95% CI 1.035-1.188]), and West (AOR 1.113 [95% CI 1.020-1.215]) than those in the Midwest. Beneficiaries residing in nonmetro areas had lower odds of enrollment (AOR 0.914 [95% CI 0.863-0.969]) than those in metro areas. Beneficiaries with previous fewer inpatient hospitalizations (AOR 0.945 [95% CI 0.914-0.977]) were more likely to be enrolled, and those with more outpatient visits (AOR 1.003 [95% CI 1.001-1.004]) were more likely to be enrolled. Those taking a higher number of oral chronic medications (AOR 1.005 [95% CI 1.002-1.008]) had greater odds of enrollment in med-sync. CONCLUSIONS: Med-sync program expansion opportunities exist to address potential enrollment disparities based on age, geographic region, metropolitan area, and prior health utilization. Further studies are needed to develop and examine strategies among pharmacies to improve med-sync enrollment outreach to these subgroups of patients.

Evaluation of a modified and abbreviated scale for assessing chronic illness care for medication therapy management practice.

BACKGROUND: The central goals of MTM align with those of the Chronic Care Model (CCM). However, reliable and valid assessments are needed to estimate the extent to which components of MTM care delivery are consistent with the CCM. The Assessment of Chronic Illness Care (ACIC) is a 34-item scale for administration in primary care offices to estimate the extent to which chronic care delivery aligns with the six elements of the CCM. The ACIC appears to be responsive for care delivery interventions aimed at improving various chronic illnesses. However, the potential value of the ACIC as a measure for evaluating MTM delivery is unknown. OBJECTIVE: A modified and abbreviated version of the ACIC could be a useful evaluation tool for pharmacist-provided medication therapy management (MTM). The objective of this study was to assess the construct and criterion-related validity, and internal consistency, of the abbreviated (12-item) "MTM ACIC." METHODS: The abbreviated MTM ACIC was administered to pharmacists employed at 27,560 community pharmacies. Construct validity and internal consistency were estimated through principal components analysis, item-to-total correlations, and Cronbach's alpha estimate of internal consistency. To assess criterion-related validity, a univariate negative binomial model estimated the association between ACIC scores and pharmacy-level MTM completion rates. RESULTS: A one-component model accounted for 64% of the variance, and Cronbach's alpha was 0.95. Scores on the abbreviated MTM ACIC were associated with MTM completion rates (rate ratio: 1.02; 95% CI: 1.01 to 1.03). CONCLUSION: The abbreviated MTM ACIC exhibited acceptable construct and criterion-related validity and internal consistency and could serve as a valuable tool for evaluating chronic illness care within the MTM setting.

A user-centered evaluation of medication therapy management alerts for community pharmacists: Recommendations to improve usability and usefulness.

BACKGROUND: Community pharmacists provide comprehensive medication reviews (CMRs) through pharmacy contracts with medication therapy management (MTM) vendors. These CMRs are documented in the vendors' web-based MTM software platforms, which often integrate alerts to assist pharmacists in the detection of medication therapy problems. Understanding pharmacists' experiences with MTM alerts is critical to optimizing alert design for patient care. OBJECTIVES: The objectives of this study were to 1) assess the usability and usefulness of MTM alerts for MTM vendor-contracted community pharmacists and 2) generate recommendations for improving MTM alerts for use by community pharmacists. METHODS: This was a convergent, parallel mixed-methods evaluation of data collected from 3 sources, with individual pharmacists contributing data to one or more sources: 1) community pharmacists' submissions of observational data about MTM alerts encountered during routine MTM provision, 2) videos of naturalistic usability testing of MTM alerts, and 3) semi-structured interviews to elicit pharmacists' perspectives on MTM alert usefulness and usability. MTM alert data submitted by pharmacists were summarized with descriptive statistics. Usability testing videos were analyzed to determine pharmacists' time spent on MTM alerts and to identify negative usability incidents. Interview transcripts were analyzed using a hybrid approach of deductive and inductive codes to identify emergent themes. Triangulation of data (i.e., determination of convergence/divergence in findings across all data sources) occurred through investigator discussion and identified overarching findings pertaining to key MTM alert challenges. These resulted in actionable recommendations to improve MTM alerts for use by community pharmacists. RESULTS: Collectively, two and four overarching key challenges pertaining to MTM alert usability and usefulness, respectively, were identified, resulting in 15 actionable recommendations for improving the design of MTM alerts from a user-centered perspective. CONCLUSIONS: Recommendations are expected to inform enhanced MTM alert designs that can improve pharmacist efficiency, patient and prescriber satisfaction with MTM, and patient outcomes.

Factors associated with comprehensive medication review completion rates: A national survey of community pharmacists.

BACKGROUND: Completion rates for medication therapy management (MTM) services have been lower than desired and the Centers for Medicare and Medicaid Services has added MTM comprehensive medication review (CMR) completion rates as a Part D plan star measure. Over half of plans utilize community pharmacists via contracts with MTM vendors. OBJECTIVES: The primary objective of this survey study was to identify factors associated with the CMR completion rates of community pharmacies contracted with a national MTM vendor. METHODSL: Representatives from 27,560 pharmacy locations contracted with a national MTM vendor were surveyed. The dependent variable of interest was the pharmacies' CMR completion rate. Independent variables included the pharmacy's progressiveness stratum and number of CMRs assigned by the MTM vendor during the time period, as well as self-reported data to characterize MTM facilitators, barriers, delivery strategies, staffing, selected items from a modified Assessment of Chronic Illness Care, and pharmacist/pharmacy demographics. Univariate negative binomial models were fit for each independent variable, and variables significant at p < 0.05 were entered into a multivariable model. RESULTS: Representatives from 3836 (13.9%) pharmacy locations responded; of these, 90.9% (n = 3486) responses were useable. The median CMR completion rate was 0.42. Variables remaining significant at p < 0.05 in the multivariable model included: progressiveness strata; pharmacy type; scores on the facilitators scale; responses to two potential barriers items; scores on the patient/caregiver delivery strategies sub-scale; providing MTM at multiple locations; reporting that the MTM vendor sending the survey link is the primary MTM vendor for which the respondent provides MTM; and the number of hours per week that the pharmacy is open. CONCLUSIONS: Factors at the respondent (e.g., responses to facilitators scale) and pharmacy (e.g., pharmacy type) levels were associated with CMR completion rates. These findings could be used by MTM stakeholders to improve CMR completion rates.

Variation in Medication Therapy Management Delivery: Implications for Health Care Policy.

BACKGROUND: Medication therapy management (MTM) program evaluations have revealed mixed outcomes, with some studies finding favorable outcomes and others finding no differences between patients who received MTM versus those who did not. One possible reason for outcomes variability is differences in delivery of MTM programs. The Chronic Care Model (CCM) provides a framework for how health care organizations can improve care for the chronically ill through 6 elements: organization of health care, delivery system design, clinical information systems, decision support, self-management, and linkages to community resources. OBJECTIVE: To apply the CCM to understand variation in MTM delivery and formulate policy recommendations. METHODS: This study used a mixed-methods descriptive analysis of MTM delivery. Investigators conducted visits to a purposeful sample of MTM practices to observe MTM and interview participants. The pharmacists and staff of these practices completed a modified Assessment of Chronic Illness Care (ACIC). Pairs of investigators analyzed interview transcripts to identify themes. Demographics and ACIC scores were summarized using descriptive statistics. After analysis, investigators discussed overarching themes and policy implications organized by CCM elements. RESULTS: Seven practices participated, and 87 participants were interviewed. Based on ACIC scores, MTM patient volume, and payer mix, practices were categorized as Early Maturity Level or Later Maturity Level. From the model, organization of health care themes included whether MTM was the practice's core competence, belief/confidence in the MTM process, lack of formal rewards, and the influence of organizational goals and external environment. Delivery system design themes pertained to the extent that MTM processes were formalized. Clinical information systems themes were the extent to which systems were influenced by payers, efficiency strategies, and the accuracy and availability of information. In considering clinical decision support themes, alert design limitations and variation in user approaches to alerts based on experience were noted. We observed strong support for patient self-management; when present, barriers were attributed to the patient, MTM provider, or payer. Referral to community resources was minimal. Numerous policy implications were identified. CONCLUSIONS: Our research identified numerous ways by which MTM delivery varies, particularly by MTM practice maturity level. These findings provide evidence for several policy changes that could be considered to optimize MTM delivery, encourage alignment with the CCM, and promote practice maturation. DISCLOSURES: This research and a portion of Snyder's salary were supported by grant number K08HS022119 from the Agency for Healthcare Research and Quality. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Agency for Healthcare Research and Quality. Snyder reports consulting fees from Westat for an evaluation of the CMS Enhanced MTM program. The other authors have nothing to disclose. Portions of this research have been presented as abstracts at the following conferences: (a) 2017 Academy Health Annual Research Meeting; June 25-27, 2017; New Orleans, LA; (b) 2015 American Society of Health-System Pharmacists Clinical Midyear Meeting; December 4-8, 2015; New Orleans, LA; and

Characterization of actions taken during the delivery of medication therapy management: A time-and-motion approach.

OBJECTIVES: To characterize actions performed by pharmacists and support staff during provision of medication therapy management (MTM) and to compare actions performed according to practice characteristics. METHODS: A purposeful sample of 7 MTM practices (2 call centers and 5 community practices) was identified and visited by investigators. Pharmacists and support staff were observed during their routine provision of MTM. Investigators characterized "major" (e.g., preparation for a comprehensive medication review) and "minor" (i.e., specific steps in overarching major action) actions with the use of a time-and-motion approach. RESULTS: A total of 32 major and 469 minor actions were observed. Practices were characterized as Later Maturity Level or Early Maturity Level on the basis of their self-reported MTM appointment volume, self-assessment of the extent of integration of chronic care model principles, and payer mix. Later Maturity Level practices were more likely to deliver follow-up medication therapy reviews and comprehensive medication reviews (CMRs) as opposed to targeted medication reviews (TMRs) and to receive physician referrals for MTM. Later Maturity Level practices were also more likely to use paid interns than pharmacy rotation students. CMR activities observed at Later Maturity Level practices lasted a median of 30.8 minutes versus 20.3 minutes for CMR activities at Early Maturity Level practices. Similarly, TMR activities observed at Later Maturity Level practices were longer: a median of 31.0 minutes versus 12.3 minutes. At Later Maturity Level practices, pharmacists spent a greater proportion of time providing patient education, while support staff spent a greater proportion of time on tasks such as capturing demographics and introducing or explaining MTM. CONCLUSION: MTM activities were longer at Later Maturity Level practices, and these practices were more likely to use paid pharmacy interns and to receive physician referrals for MTM. This work provides a foundation for future research.

A randomized, controlled pragmatic trial of telephonic medication therapy management to reduce hospitalization in home health patients.

OBJECTIVE: To evaluate the effectiveness of a telephonic medication therapy management (MTM) service on reducing hospitalizations among home health patients. SETTING: Forty randomly selected, geographically diverse home health care centers in the United States. DESIGN: Two-stage, randomized, controlled trial with 60-day follow-up. All Medicare- insured home health care patients were eligible to participate. Twenty-eight consecutive patients within each care center were recruited and randomized to usual care or MTM intervention. The MTM intervention consisted of the following: (1) initial phone call by a pharmacy technician to verify active medications; (2) pharmacist-provided medication regimen review by telephone; and (3) follow-up pharmacist phone calls at day seven and as needed for 30 days. The primary outcome was 60-day all-cause hospitalization. DATA COLLECTION: Data were collected from in-home nursing assessments using the OASIS-C. Multivariate logistic regression modeled the effect of the MTM intervention on the probability of hospitalization while adjusting for patients' baseline risk of hospitalization, number of medications taken daily, and other OASIS-C data elements. PRINCIPAL FINDINGS: A total of 895 patients (intervention n = 415, control n = 480) were block-randomized to the intervention or usual care. There was no significant difference in the 60-day probability of hospitalization between the MTM intervention and control groups (Adjusted OR: 1.26, 95 percent CI: 0.89-1.77, p = .19). For patients within the lowest baseline risk quartile (n = 232), the intervention group was three times more likely to remain out of the hospital at 60 days (Adjusted OR: 3.79, 95 percent CI: 1.35-10.57, p = .01) compared to the usual care group. CONCLUSIONS: This MTM intervention may not be effective for all home health patients; however, for those patients with the lowest-risk profile, the MTM intervention prevented patients from being hospitalized at 60 days.

Evaluation of specialized medication packaging combined with medication therapy management: adherence, outcomes, and costs among Medicaid patients.

BACKGROUND: This study evaluates the effect of a program combing specialized medication packaging and telephonic medication therapy management on medication adherence, health care utilization, and costs among Medicaid patients. RESEARCH DESIGN: A retrospective cohort design compared Medicaid participants who voluntarily enrolled in the program (n = 1007) compared with those who did not (n = 13,614). Main outcome measures were medication adherence at 12 months, hospital admissions and emergency department visits at 6 and 12 months, and total paid claim costs at 6 and 12 months. Multivariate regression models were used to adjust for the effect of age, sex, race, comorbidities, and 12-month preenrollment health care utilization. RESULTS: Measures of medication adherence were significantly improved in the program cohort compared with the usual care cohort. At 6 months, adjusted all-cause hospitalization was marginally less in the program cohort compared with the usual care cohort [odds ratio = 0.73, 95% confidence interval (CI), 0.54-1.0, P = 0.05]. No statistically significant differences were observed between the 2 cohorts for any of the other adjusted utilization endpoints at 6 or 12 months. Adjusted total cost at 6 and 12 months were higher in the program cohort (6-month cost ratio = 1.76, 95% CI,1.65-1.89; 12-month cost ratio = 1.84, 95% CI,1.72-1.97), primarily because of an increase in prescription costs. Emergency department visits and hospitalization costs did not differ between groups. CONCLUSIONS: : The program improved measures of medication adherence, but the effect on health care utilization and nonpharmacy costs at 6 and 12 months was not different from the usual care group. Reasons for these findings may reflect differences in the delivery of the specialized packaging and the medication therapy management program, health care behaviors in this Medicaid cohort, unadjusted confounding, or time required for the benefit of the intervention to manifest.