The OPTIMIZE patient- and family-centered, primary care-based deprescribing intervention for older adults with dementia or mild cognitive impairment and multiple chronic conditions: study protocol for a pragmatic cluster randomized controlled trial.

BACKGROUND: Most individuals with dementia or mild cognitive impairment (MCI) have multiple chronic conditions (MCC). The combination leads to multiple medications and complex medication regimens and is associated with increased risk for significant treatment burden, adverse drug events, cognitive changes, hospitalization, and mortality. Optimizing medications through deprescribing (the process of reducing or stopping the use of inappropriate medications or medications unlikely to be beneficial) may improve outcomes for MCC patients with dementia or MCI. METHODS: With input from patients, family members, and clinicians, we developed and piloted a patient-centered, pragmatic intervention (OPTIMIZE) to educate and activate patients, family members, and primary care clinicians about deprescribing as part of optimal medication management for older adults with dementia or MCI and MCC. The clinic-based intervention targets patients on 5 or more medications, their family members, and their primary care clinicians using a pragmatic, cluster-randomized design at Kaiser Permanente Colorado. The intervention has two components: a patient/ family component focused on education and activation about the potential value of deprescribing, and a clinician component focused on increasing clinician awareness about options and processes for deprescribing. Primary outcomes are total number of chronic medications and total number of potentially inappropriate medications (PIMs). We estimate that approximately 2400 patients across 9 clinics will receive the intervention. A comparable number of patients from 9 other clinics will serve as wait-list controls. We have > 80% power to detect an average decrease of - 0.70 (< 1 medication). Secondary outcomes include the number of PIM starts, dose reductions for selected PIMs (benzodiazepines, opiates, and antipsychotics), rates of adverse drug events (falls, hemorrhagic events, and hypoglycemic events), ability to perform activities of daily living, and skilled nursing facility, hospital, and emergency department admissions. DISCUSSION: The OPTIMIZE trial will examine whether a primary care-based, patient- and family-centered intervention educating patients, family members, and clinicians about deprescribing reduces numbers of chronic medications and PIMs for older adults with dementia or MCI and MCC. TRIAL REGISTRATION: NCT03984396. Registered on 13 June 2019.

Automated symptom and treatment side effect monitoring for improved quality of life among adults with diabetic peripheral neuropathy in primary care: a pragmatic, cluster, randomized, controlled trial.

AIMS: To evaluate the effectiveness of automated symptom and side effect monitoring on quality of life among individuals with symptomatic diabetic peripheral neuropathy. METHODS: We conducted a pragmatic, cluster randomized controlled trial (July 2014 to July 2016) within a large healthcare system. We randomized 1834 primary care physicians and prospectively recruited from their lists 1270 individuals with neuropathy who were newly prescribed medications for their symptoms. Intervention participants received automated telephone-based symptom and side effect monitoring with physician feedback over 6 months. The control group received usual care plus three non-interactive diabetes educational calls. Our primary outcomes were quality of life (EQ-5D) and select symptoms (e.g. pain) measured 4-8 weeks after starting medication and again 8 months after baseline. Process outcomes included receiving a clinically effective dose and communication between individuals with neuropathy and their primary care provider over 12 months. Interviewers collecting outcome data were blinded to intervention assignment. RESULTS: Some 1252 participants completed the baseline measures [mean age (sd): 67 (11.7), 53% female, 57% white, 8% Asian, 13% black, 20% Hispanic]. In total, 1179 participants (93%) completed follow-up (619 control, 560 intervention). Quality of life scores (intervention: 0.658 ± 0.094; control: 0.653 ± 0.092) and symptom severity were similar at baseline. The intervention had no effect on primary [EQ-5D: -0.002 (95% CI -0.01, 0.01), P = 0.623; pain: 0.295 (-0.75, 1.34), P = 0.579; sleep disruption: 0.342 (-0.18, 0.86), P = 0.196; lower extremity functioning: -0.079 (-1.27, 1.11), P = 0.896; depression: -0.462 (-1.24, 0.32); P = 0.247] or process outcomes. CONCLUSIONS: Automated telephone monitoring and feedback alone were not effective at improving quality of life or symptoms for people with symptomatic diabetic peripheral neuropathy. TRIAL REGISTRATION: ClinicalTrials.gov (NCT02056431).

Data Management for Applications of Patient Reported Outcomes.

CONTEXT: Patient reported outcomes (PROs) are one means of systematically gathering meaningful subjective information for patient care, population health, and patient centered outcomes research. However, optimal data management for effective PRO applications is unclear. CASE DESCRIPTION: Delivery systems associated with the Health Care Systems Research Network (HCSRN) have implemented PRO data collection as part of the Medicare annual Health Risk Assessment (HRA). A questionnaire assessed data content, collection, storage, and extractability in HCSRN delivery systems. FINDINGS: Responses were received from 15 (83.3 percent) of 18 sites. The proportion of Medicare beneficiaries completing an HRA ranged from less than 10 to 42 percent. Most sites collected core HRA elements and 10 collected information on additional domains such as social support. Measures for core domains varied across sites. Data were collected at and prior to visits. Modes included paper, clinician entry, patient portals, and interactive voice response. Data were stored in the electronic health record (EHR) in scanned documents, free text, and discrete fields, and in summary databases. MAJOR THEMES: PRO implementation requires effectively collecting, storing, extracting, and applying patient-reported data. Standardizing PRO measures and storing data in extractable formats can facilitate multi-site uses for PRO data, while access to individual PROs in the EHR may be sufficient for use at the point of care. CONCLUSION: Collecting comparable PRO data elements, storing data in extractable fields, and collecting data from a higher proportion of eligible respondents represents an optimal approach to support multi-site applications of PRO information.

Supporting self-management for patients with complex medical needs: recommendations of a working group.

Increasing numbers of persons live with complex chronic medical needs and are at risk for poor health outcomes. These patients require unique self-management support, as they must manage many, often interacting, tasks. As part of a conference on Managing Complexity in Chronic Care sponsored by the Department of Veterans Affairs, a working group was convened to consider self-management issues specific to complex chronic care. In this paper, we assess gaps in current knowledge on self-management support relevant to this population, report on the recommendations of our working group, and discuss directions for future study. We conclude that this population requires specialized, multidimensional self-management support to achieve a range of patient-centred goals. New technologies and models of care delivery may provide opportunities to develop this support. Validation and quantification of these processes will require the development of performance measures that reflect the needs of this population, and research to prove effectiveness.

Hepatic concentrations of zinc, copper and manganese in infants with extrahepatic biliary atresia.

The objective of this study was to determine the concentration of Zinc (Zn), Copper (Cu) and Manganese (Mn) in hepatic tissue from extrahepatic biliary atresia (EHBA). Liver biopsy samples were obtained at time of portoenterostomy from 49 infants ages 1.1 to 20.7 months (median 2.1) with EHBA. Samples were dry ashed and analyzed by flame (Zn) or flameless (Cu and Mn) atomic absorption spectrophotometry. Hepatic Cu concentrations are physiologically elevated at birth and decline rapidly during the first 2 month of life, therefore only samples from 29 infants, ages greater than 8 weeks were considered for Cu. Concentrations (mg/kg dry weight, mean and range) were: Zn 142 (70-507), Cu 204 (19-570), Mn 9.1 (2.8-21.8) vs. literature controls in the same age range: Zn 262 (82-543), Cu 92, Mn 4.3 (3.3-11.5). No correlations were found between serum alkaline phosphatase, AST or total bilirubin and hepatic trace element concentrations, between trace element concentrations and age, or between Cu and Mn. Decreased bile flow with intrahepatic cholestasis may result in hepatic accumulation of Mn as well as Cu. The low hepatic Zn concentrations indicate the need for further study of Zn metabolism in this population.