Andrew R Zullo
Brown University, Health Services, Policy & Practice, Faculty Member
- Rhode Island Hospital, Pharmacy, Department Memberadd
- Pharmacy, Clinical Pharmacy, Public Health, Health Policy, Health Services Research, Comparative Effectiveness Research, and 22 morePatient-Centered Care, Nursing Homes, Geriatrics, Geriatric medicine, Quality Use of Medications, Pharmacoepidemiology, Pharmacoepidemiology and drug safety, Type 2 Diabetes Mellitus, Pharmacotherapy, Elderly Falls (Geriatrics), Cardiovascular disease, Healthcare, Food and Drug Administration, Long Term Care, Drug Regulatory Affairs, Epidemiology, Variance Estimation for Complex Surveys, Analysis of Complex Surveys, Causal Inference, Causality, Causation, and Evidence Based Medicineedit
- Andrew R. Zullo, PharmD, ScM, PhD is a pharmacoepidemiologist and health services researcher. He joined Brown Univers... moreAndrew R. Zullo, PharmD, ScM, PhD is a pharmacoepidemiologist and health services researcher. He joined Brown University in 2012 as a joint PhD student in Health Services Research and ScM student in Epidemiology. In 2015, he then transitioned to become an AHRQ K12 Scholar in Patient Centered Outcomes Research and an Investigator in the Department of Health Services, Policy, and Practice.
Andrew's main research interest is in the study of prescription drug effects, particularly in geriatric patients and nursing home settings. He applies comparative effectiveness and safety methodologies to patient-centered outcomes research topics in diabetes, cardiovascular disease, fractures/osteoporosis, nephrology, and more. His other interests include 1) the quality and determinants of medication use, 2) personal prescription drug importation, and 3) new models of pharmaceutical care delivery and medication management.
Andrew continues to practice as an inpatient clinical pharmacist at Rhode Island Hospital, where he trains residents and students.edit - Vincent Mor, David D. Dore, Ira Wilson, Omar Galarraga, Chanelle Howe, Christine Berard-Collins, Issa Dahabreh, Sarah Berry, Michael A. Steinmanedit
The purpose of this study was to evaluate whether home-delivered meals, and the frequency of delivery, reduces self-reported falls among homebound older adults. Data come from a randomized parallel three-arm study of 371 older adults on... more
The purpose of this study was to evaluate whether home-delivered meals, and the frequency of delivery, reduces self-reported falls among homebound older adults. Data come from a randomized parallel three-arm study of 371 older adults on seven Meals on Wheels programs' waiting lists. Participants were randomly assigned to receive (a) daily meal delivery (n = 139); (b) once weekly, frozen meal delivery (n = 106); or (c) control, remain on the waiting list for meals (n = 126). Participants were surveyed at baseline and 15 weeks post randomization. At follow-up, 36 (28.6%) in the control group, 29 (27.4%) receiving once weekly delivered meals, and 33 (23.7%) receiving daily delivered meals reported a fall (compared with control, daily meal risk ratio [RR] = 0.83, 95% confidence limits [CL] = [0.55, 1.25]; frozen meal RR = 0.96, 95%CL = [0.63, 1.45]). Our study suggests that daily delivered meals may reduce the risk of falls. Additional work is needed to understand the effect of meals on falls, particularly among previous fallers, a high-risk subgroup.
Research Interests:
To the Editor: The recent American Diabetes Association position statement on the management of type 2 diabetes mellitus in long-term care settings highlights the need for different pharmacological treatment approaches to... more
To the Editor: The recent American Diabetes Association position statement on the management of type 2 diabetes mellitus in long-term care settings highlights the need for different pharmacological treatment approaches to community-dwelling adults and long-stay nursing home (NH) residents.[1] The position statement recommends simplified medication regimens with a lower risk of adverse effects for NH residents,[1] but there is little information on how glucose-lowering treatment use in NHs compares with that in the community.[2] Identifying and quantifying common glucose-lowering medication patterns would help inform future efforts to improve glucose-lowering medication management and prioritization of pharmaceutical comparative effectiveness research (CER) questions for NH residents.[1, 3]
This letter describes and juxtaposes common glucose-lowering medication usage patterns for a national cross-section of U.S. adults aged 65 and older residing in NH and community settings between January 1, 2007, and December 31, 2010. A random 20% national sample of Medicare fee-for-service beneficiaries with Parts A, B, and D claims linked to the Minimum Data Set (MDS), a federally mandated NH health assessment tool, was used. Individuals could have Medicare insurance coverage for any duration. All beneficiaries had at least one dispensing of a glucose-lowering treatment during the study period.
Prevalent glucose-lowering medication use was assessed using Part D data. Medication use patterns were mutually exclusive and defined without regard to the time sequence of the dispensings. International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes from Part B claims during the study period were used to ascertain the prevalence of comorbidities and geriatric conditions. Hospitalizations during the study period were identified through Part A claims. MDS version 2.0 and the Residential History File algorithm were used to identify Medicare beneficiaries who resided in a NH for the long term (≥90 consecutive days).[4, 5] The study cohort was then divided into two mutually exclusive subpopulations: community-dwelling adults and long-stay NH residents.
Two-sample t-tests and chi-squared tests were used to compare the characteristics of those who resided in the community with the characteristics of those who resided in a NH. The period prevalences of glucose-lowering medication usage patterns were then calculated in each subpopulation. Exact (Clopper-Pearson) binomial 95% confidence intervals were calculated to facilitate comparisons of the pattern prevalences between and within the subpopulations.[6] The institutional review board of Brown University reviewed and approved this study.
Of 1,215,715 individuals, 1,119,874 (92.1%) were identified as community dwelling and 95,841 (7.9%) as long-stay NH residents. Mean age of the community-dwelling subpopulation was 75.4, 56.9% were female, and 36.8% had been hospitalized during the study period. Mean age of the NH subpopulation was 82.3, 68.8% were female, and 76.6% had been hospitalized (P < .001 for all). All examined comorbidities were more prevalent in the NH than the community subpopulation, including coronary artery disease (53.6% vs 34.9%), heart failure (57.5% vs 21.8%), hypertension (87.6% vs 67.4%), depression (47.4% vs 12.0%), and dementia (68.8% vs 9.9%) (P < .001 for all comparisons).
In the community-dwelling population, 42.7% (95% confidence interval (CI) = 42.6–42.8%) were dispensed a single class of glucose-lowering medication during the study period. The prevalence of single class use was lower in the NH (28.2%, 95% CI = 27.9–28.5). Most NH residents (71.8%) were dispensed medications from two or more classes, 41.6% were dispensed three or more, and 19.9% four or more. Of community-dwelling adults, 57.3% were dispensed two or more medication classes, 25.6% three or more, and 9.6% four or more (P < .001 vs NH subpopulation). The 20 most-prevalent glucose-lowering medication use patterns (Table 1) accounted for a large proportion of all observed patterns. In the community, the five most-common patterns of medication class use were oral therapies. In the NH, three of the five most-common patterns involved parenterally administered drug classes. Biguanides (metformin) and sulfonylureas were commonly used in the community and NH, but use was greater in the community (P < .001).
The complexity of glucose-lowering medications is greater in NH than community-dwelling populations, with substantial differences in the prevalence of various drug combinations between the two cohorts. In combination with existing evidence, these results suggest that continued efforts are warranted to improve glucose-lowering medication management and simplify treatment regimens in the NH.[7] They also suggest that the relative importance of CER questions regarding specific glucose-lowering treatments may differ according to care setting.[8] The data further indicate that CER studies of glucose-lowering treatments in older adults must address the combination use of medications, especially in NH residents.[9, 10]
This letter describes and juxtaposes common glucose-lowering medication usage patterns for a national cross-section of U.S. adults aged 65 and older residing in NH and community settings between January 1, 2007, and December 31, 2010. A random 20% national sample of Medicare fee-for-service beneficiaries with Parts A, B, and D claims linked to the Minimum Data Set (MDS), a federally mandated NH health assessment tool, was used. Individuals could have Medicare insurance coverage for any duration. All beneficiaries had at least one dispensing of a glucose-lowering treatment during the study period.
Prevalent glucose-lowering medication use was assessed using Part D data. Medication use patterns were mutually exclusive and defined without regard to the time sequence of the dispensings. International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes from Part B claims during the study period were used to ascertain the prevalence of comorbidities and geriatric conditions. Hospitalizations during the study period were identified through Part A claims. MDS version 2.0 and the Residential History File algorithm were used to identify Medicare beneficiaries who resided in a NH for the long term (≥90 consecutive days).[4, 5] The study cohort was then divided into two mutually exclusive subpopulations: community-dwelling adults and long-stay NH residents.
Two-sample t-tests and chi-squared tests were used to compare the characteristics of those who resided in the community with the characteristics of those who resided in a NH. The period prevalences of glucose-lowering medication usage patterns were then calculated in each subpopulation. Exact (Clopper-Pearson) binomial 95% confidence intervals were calculated to facilitate comparisons of the pattern prevalences between and within the subpopulations.[6] The institutional review board of Brown University reviewed and approved this study.
Of 1,215,715 individuals, 1,119,874 (92.1%) were identified as community dwelling and 95,841 (7.9%) as long-stay NH residents. Mean age of the community-dwelling subpopulation was 75.4, 56.9% were female, and 36.8% had been hospitalized during the study period. Mean age of the NH subpopulation was 82.3, 68.8% were female, and 76.6% had been hospitalized (P < .001 for all). All examined comorbidities were more prevalent in the NH than the community subpopulation, including coronary artery disease (53.6% vs 34.9%), heart failure (57.5% vs 21.8%), hypertension (87.6% vs 67.4%), depression (47.4% vs 12.0%), and dementia (68.8% vs 9.9%) (P < .001 for all comparisons).
In the community-dwelling population, 42.7% (95% confidence interval (CI) = 42.6–42.8%) were dispensed a single class of glucose-lowering medication during the study period. The prevalence of single class use was lower in the NH (28.2%, 95% CI = 27.9–28.5). Most NH residents (71.8%) were dispensed medications from two or more classes, 41.6% were dispensed three or more, and 19.9% four or more. Of community-dwelling adults, 57.3% were dispensed two or more medication classes, 25.6% three or more, and 9.6% four or more (P < .001 vs NH subpopulation). The 20 most-prevalent glucose-lowering medication use patterns (Table 1) accounted for a large proportion of all observed patterns. In the community, the five most-common patterns of medication class use were oral therapies. In the NH, three of the five most-common patterns involved parenterally administered drug classes. Biguanides (metformin) and sulfonylureas were commonly used in the community and NH, but use was greater in the community (P < .001).
The complexity of glucose-lowering medications is greater in NH than community-dwelling populations, with substantial differences in the prevalence of various drug combinations between the two cohorts. In combination with existing evidence, these results suggest that continued efforts are warranted to improve glucose-lowering medication management and simplify treatment regimens in the NH.[7] They also suggest that the relative importance of CER questions regarding specific glucose-lowering treatments may differ according to care setting.[8] The data further indicate that CER studies of glucose-lowering treatments in older adults must address the combination use of medications, especially in NH residents.[9, 10]
Research Interests:
OBJECTIVE: We quantified transdermal fentanyl prescribing in elderly nursing home residents without prior opioid use or persistent pain, and the association of individual and facility traits with opioid-naïve prescribing. DESIGN:... more
OBJECTIVE:
We quantified transdermal fentanyl prescribing in elderly nursing home residents without prior opioid use or persistent pain, and the association of individual and facility traits with opioid-naïve prescribing.
DESIGN:
Cross-sectional study.
SETTING:
Linked Minimum Data Set (MDS) assessments; Online Survey, Certification and Reporting (OSCAR) records; and Medicare Part D claims.
PARTICIPANTS:
From a cross-section of all long-stay US nursing home residents in 2008 with an MDS assessment and Medicare Part D enrollment, we identified individuals (≥65 years old) who initiated transdermal fentanyl, excluding those with Alzheimer disease, severe cognitive impairment, cancer, or receipt of hospice care.
MEASUREMENTS:
We used Medicare Part D to select beneficiaries initiating transdermal fentanyl in 2008 and determined whether they were "opioid-naïve," defined as no opioid dispensing during the previous 60 days. We obtained resident and facility characteristics from MDS and OSCAR records and defined persistent pain as moderate-to-severe, daily pain on consecutive MDS assessments at least 90 days apart. We estimated associations of patient and facility attributes and opioid-naïve fentanyl initiation using multilevel mixed effects logistic regression modeling.
RESULTS:
Among 17,052 residents initiating transdermal fentanyl, 6190 (36.3%) were opioid-naïve and 15,659 (91.8%) did not have persistent pain. In the regression analysis with adjustments, residents who were older (ages ≥95 odds ratio [OR] 1.69, 95% confidence interval [CI] 1.46-1.95) or more cognitively impaired (moderate-to-severe cognitive impairment, OR 1.99, 95% CI 1.73-2.29) were more likely to initiate transdermal fentanyl without prior opioid use.
CONCLUSION:
Most nursing home residents initiating transdermal fentanyl did not have persistent pain and many were opioid-naïve. Changes in prescribing practices may be necessary to ensure Food and Drug Administration warnings are followed, particularly for vulnerable subgroups, such as the cognitively impaired.
We quantified transdermal fentanyl prescribing in elderly nursing home residents without prior opioid use or persistent pain, and the association of individual and facility traits with opioid-naïve prescribing.
DESIGN:
Cross-sectional study.
SETTING:
Linked Minimum Data Set (MDS) assessments; Online Survey, Certification and Reporting (OSCAR) records; and Medicare Part D claims.
PARTICIPANTS:
From a cross-section of all long-stay US nursing home residents in 2008 with an MDS assessment and Medicare Part D enrollment, we identified individuals (≥65 years old) who initiated transdermal fentanyl, excluding those with Alzheimer disease, severe cognitive impairment, cancer, or receipt of hospice care.
MEASUREMENTS:
We used Medicare Part D to select beneficiaries initiating transdermal fentanyl in 2008 and determined whether they were "opioid-naïve," defined as no opioid dispensing during the previous 60 days. We obtained resident and facility characteristics from MDS and OSCAR records and defined persistent pain as moderate-to-severe, daily pain on consecutive MDS assessments at least 90 days apart. We estimated associations of patient and facility attributes and opioid-naïve fentanyl initiation using multilevel mixed effects logistic regression modeling.
RESULTS:
Among 17,052 residents initiating transdermal fentanyl, 6190 (36.3%) were opioid-naïve and 15,659 (91.8%) did not have persistent pain. In the regression analysis with adjustments, residents who were older (ages ≥95 odds ratio [OR] 1.69, 95% confidence interval [CI] 1.46-1.95) or more cognitively impaired (moderate-to-severe cognitive impairment, OR 1.99, 95% CI 1.73-2.29) were more likely to initiate transdermal fentanyl without prior opioid use.
CONCLUSION:
Most nursing home residents initiating transdermal fentanyl did not have persistent pain and many were opioid-naïve. Changes in prescribing practices may be necessary to ensure Food and Drug Administration warnings are followed, particularly for vulnerable subgroups, such as the cognitively impaired.
Research Interests:
Research Interests:
PURPOSE: The implementation and outcomes of a program combining electronic home blood pressure monitoring (HBPM) and pharmacist-provided medication therapy management (MTM) services in a renal transplantation clinic are described.... more
PURPOSE: The implementation and outcomes of a program combining electronic home blood pressure monitoring (HBPM) and pharmacist-provided medication therapy management (MTM) services in a renal transplantation clinic are described.
SUMMARY: Patients enrolled in the program were provided with a computer-enabled blood pressure monitor. A dedicated renal transplantation pharmacist was integrated into the renal transplantation team under a collaborative care practice agreement. The collaborative care agreement allowed the pharmacist to authorize medication additions, deletions, and dosage changes. Comprehensive disease and blood pressure education was provided by a clinical pharmacist. In the pretransplantation setting, the pharmacist interviewed the renal transplant candidate and documents allergies, verified the patient's medication profile, and identified and assessed barriers to medication adherence. A total of 50 renal transplant recipients with at least one recorded home blood pressure reading and at least one year of follow-up were included in our analysis. A significant reduction in mean systolic and diastolic blood pressure values were observed at 30, 90, 180, and 360 days after enrollment in the program (p < 0.05). Pharmacist interventions were documented for 37 patients. Medication-related problems accounted for 46% of these interventions and included dosage modifications, regimen changes, and mitigation of barriers to medication access and adherence.
CONCLUSION: Implementation of electronic HBPM and pharmacist-provided MTM services implemented in a renal transplant clinic was associated with sustained improvements in blood pressure control. Incorporation of a pharmacist in the renal transplant clinic resulted in the detection and resolution of medication-related problems.
SUMMARY: Patients enrolled in the program were provided with a computer-enabled blood pressure monitor. A dedicated renal transplantation pharmacist was integrated into the renal transplantation team under a collaborative care practice agreement. The collaborative care agreement allowed the pharmacist to authorize medication additions, deletions, and dosage changes. Comprehensive disease and blood pressure education was provided by a clinical pharmacist. In the pretransplantation setting, the pharmacist interviewed the renal transplant candidate and documents allergies, verified the patient's medication profile, and identified and assessed barriers to medication adherence. A total of 50 renal transplant recipients with at least one recorded home blood pressure reading and at least one year of follow-up were included in our analysis. A significant reduction in mean systolic and diastolic blood pressure values were observed at 30, 90, 180, and 360 days after enrollment in the program (p < 0.05). Pharmacist interventions were documented for 37 patients. Medication-related problems accounted for 46% of these interventions and included dosage modifications, regimen changes, and mitigation of barriers to medication access and adherence.
CONCLUSION: Implementation of electronic HBPM and pharmacist-provided MTM services implemented in a renal transplant clinic was associated with sustained improvements in blood pressure control. Incorporation of a pharmacist in the renal transplant clinic resulted in the detection and resolution of medication-related problems.