Dataset Information

Medication Therapy Management after Hospitalization in CKD: A Randomized Clinical Trial.

ABSTRACT: BACKGROUND AND OBJECTIVES:CKD is characterized by remarkably high hospitalization and readmission rates. Our study aim was to test a medication therapy management intervention to reduce subsequent acute care utilization. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS:The CKD Medication Intervention Trial was a single-blind (investigators), randomized clinical trial conducted at Providence Health Care in Spokane, Washington. Patients with CKD stages 3-5 not treated by dialysis who were hospitalized for acute illness were recruited. The intervention was designed to improve posthospitalization care by medication therapy management. A pharmacist delivered the intervention as a single home visit within 7 days of discharge. The intervention included these fundamental elements: comprehensive medication review, medication action plan, and a personal medication list. The primary outcome was a composite of acute care utilization (hospital readmissions and emergency department and urgent care visits) for 90 days after hospitalization. RESULTS:Baseline characteristics of participants (n=141) included the following: age, 69±11 (mean±SD) years old; women, 48% (67 of 141); diabetes, 56% (79 of 141); hypertension, 83% (117 of 141); eGFR, 41±14 ml/min per 1.73 m2 (serum creatinine-based Chronic Kidney Disease Epidemiology Collaboration equation); and urine albumin-to-creatinine ratio median, 43 mg/g (interquartile range, 8-528) creatinine. The most common primary diagnoses for hospitalization were the following: cardiovascular events, 36% (51 of 141); infections, 18% (26 of 141); and kidney diseases, 12% (17 of 141). The primary outcome occurred in 32 of 72 (44%) of the medication intervention group and 28 of 69 (41%) of those in usual care (log rank P=0.72). For only hospital readmission, the rate was 19 of 72 (26%) in the medication intervention group and 18 of 69 (26%) in the usual care group (log rank P=0.95). There was no between-group difference in achievement of guideline-based goals for use of renin-angiotensin system inhibition or for BP, hemoglobin, phosphorus, or parathyroid hormone. CONCLUSIONS:Acute care utilization after hospitalization was not reduced by a pharmacist-led medication therapy management intervention at the transition from hospital to home.

SUBMITTER: Tuttle KR

PROVIDER: S-EPMC5967429 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Medication Therapy Management after Hospitalization in CKD: A Randomized Clinical Trial.

Tuttle Katherine R KR Alicic Radica Z RZ Alicic Radica Z RZ Short Robert A RA Neumiller Joshua J JJ Gates Brian J BJ Daratha Kenn B KB Barbosa-Leiker Celestina C McPherson Sterling M SM Chaytor Naomi S NS Dieter Brad P BP Setter Stephen M SM Corbett Cynthia F CF

Clinical journal of the American Society of Nephrology : CJASN 20180102 2

<h4>Background and objectives</h4>CKD is characterized by remarkably high hospitalization and readmission rates. Our study aim was to test a medication therapy management intervention to reduce subsequent acute care utilization.<h4>Design, setting, participants, & measurements</h4>The CKD Medication Intervention Trial was a single-blind (investigators), randomized clinical trial conducted at Providence Health Care in Spokane, Washington. Patients with CKD stages 3-5 not treated by dialysis who w ...[more]

PMID: 29295829

Similar Datasets

Project description:Importance:Complex medication regimens pose self-management challenges, particularly among populations with low levels of health literacy. Objective:To test medication management tools delivered through a commercial electronic health record (EHR) with and without a nurse-led education intervention. Design, Setting, and Participants:This 3-group cluster randomized clinical trial was performed in community health centers in Chicago, Illinois. Participants included 794 patients with hypertension who self-reported using 3 or more medications concurrently (for any purpose). Data were collected from April 30, 2012, through February 29, 2016, and analyzed by intention to treat. Interventions:Clinics were randomly assigned to to groups: electronic health record-based medication management tools (medication review sheets at visit check-in, lay medication information sheets printed after visits; EHR-alone group), EHR-based tools plus nurse-led medication management support (EHR plus education group), or usual care. Main Outcomes and Measures:Outcomes at 12 months included systolic blood pressure (primary outcome), medication reconciliation, knowledge of drug indications, understanding of medication instructions and dosing, and self-reported medication adherence. Medication outcomes were assessed for all hypertension prescriptions, all prescriptions to treat chronic disease, and all medications. Results:Among the 794 participants (68.6% women; mean [SD] age, 52.7 [9.6] years), systolic blood pressure at 12 months was greater in the EHR-alone group compared with the usual care group by 3.6 mm Hg (95% CI, 0.3 to 6.9 mm Hg). Systolic blood pressure in the EHR plus education group was not significantly lower compared with the usual care group (difference, -2.0 mm Hg; 95% CI, -5.2 to 1.3 mm Hg) but was lower compared with the EHR-alone group (-5.6 mm Hg; 95% CI, -8.8 to -2.4 mm Hg). At 12 months, hypertension medication reconciliation was improved in the EHR-alone group (adjusted odds ratio [OR], 1.8; 95% CI, 1.1 to 2.9) and the EHR plus education group (adjusted odds ratio [OR], 2.0; 95% CI, 1.3 to 3.3) compared with usual care. Understanding of medication instructions and dosing was greater in the EHR plus education group than the usual care group for hypertension medications (OR, 2.3; 95% CI, 1.1 to 4.8) and all medications combined (OR, 1.7; 95% CI, 1.0 to 2.8). Compared with usual care, the EHR tools alone and EHR plus education interventions did not improve hypertension medication adherence (OR, 0.9; 95% CI, 0.6-1.4 for both) or knowledge of chronic drug indications (OR for EHR tools alone, 1.0 [95% CI, 0.6 to 1.5] and OR for EHR plus education, 1.1 [95% CI, 0.7-1.7]). Conclusions and Relevance:The study found that EHR tools in isolation improved medication reconciliation but worsened blood pressure. Combining these tools with nurse-led support suggested improved understanding of medication instructions and dosing but did not lower blood pressure compared with usual care. Trial Registration:ClinicalTrials.gov identifier: NCT01578577.

Project description:ImportanceThe National Action Plan for Adverse Drug Event (ADE) Prevention identified 3 high-priority, high-risk drug classes as targets for reducing the risk of drug-related injuries: anticoagulants, diabetes agents, and opioids.ObjectiveTo determine whether a multifaceted clinical pharmacist intervention improves medication safety for patients who are discharged from the hospital and prescribed medications within 1 or more of these high-risk drug classes.Design, setting, and participantsThis randomized clinical trial was conducted at a large multidisciplinary group practice in Massachusetts and included patients 50 years or older who were discharged from the hospital and prescribed at least 1 high-risk medication. Participants were enrolled into the trial from June 2016 through September 2018.InterventionsThe pharmacist-directed intervention included an in-home assessment by a clinical pharmacist, evidence-based educational resources, communication with the primary care team, and telephone follow-up. Participants in the control group were provided educational materials via mail.Main outcomes and measuresThe study assessed 2 outcomes over a 45-day posthospital discharge period: (1) adverse drug-related incidents and (2) a subset defined as clinically important medication errors, which included preventable or ameliorable ADEs and potential ADEs (ie, medication-related errors that may not yet have caused injury to a patient, but have the potential to cause future harm if not addressed). Clinically important medication errors were the primary study outcome.ResultsThere were 361 participants (mean [SD] age, 68.7 [9.3] years; 177 women [49.0%]; 319 White [88.4%] and 8 Black individuals [2.2%]). Of these, 180 (49.9%) were randomly assigned to the intervention group and 181 (50.1%) to the control group. Among all participants, 100 (27.7%) experienced 1 or more adverse drug-related incidents, and 65 (18%) experienced 1 or more clinically important medication errors. There were 81 adverse drug-related incidents identified in the intervention group and 72 in the control group. There were 44 clinically important medication errors in the intervention group and 45 in the control group. The intervention did not significantly alter the per-patient rate of adverse drug-related incidents (unadjusted incidence rate ratio, 1.13; 95% CI, 0.83-1.56) or clinically important medication errors (unadjusted incidence rate ratio, 0.99; 95% CI, 0.65-1.49).Conclusions and relevanceIn this randomized clinical trial, there was not an observed lower rate of adverse drug-related incidents or clinically important medication errors during the posthospitalization period that was associated with a clinical pharmacist intervention. However, there were study recruitment challenges and lower than expected numbers of events among the study population.Trial registrationClinicalTrials.gov Identifier: NCT02781662.

Project description:Rationale & objectiveMost adults with chronic kidney disease (CKD) in the United States are cared for by primary care providers (PCPs). We evaluated the feasibility and preliminary effectiveness of an electronic clinical decision support system (eCDSS) within the electronic health record with or without pharmacist follow-up to improve the management of CKD in primary care.Study designPragmatic cluster-randomized trial.Setting & participants524 adults with confirmed creatinine-based estimated glomerular filtration rates of 30 to 59mL/min/1.73m2 cared for by 80 PCPs at the University of California San Francisco. Electronic health record data were used for patient identification, intervention deployment, and outcomes ascertainment.InterventionsEach PCP's eligible patients were randomly assigned as a group into 1 of 3 treatment arms: (1) usual care; (2) eCDSS: testing of creatinine, cystatin C, and urinary albumin-creatinine ratio with individually tailored guidance for PCPs on blood pressure, potassium, and proteinuria management, cardiovascular risk reduction, and patient education; or (3) eCDSS plus pharmacist counseling (eCDSS-PLUS).OutcomesThe primary clinical outcome was change in blood pressure over 12 months. Secondary outcomes were PCP awareness of CKD and use of angiotensin-converting enzyme inhibitor/angiotensin receptor blocker and statin therapy.ResultsAll 80 eligible PCPs participated. Mean patient age was 70 years, 47% were nonwhite, and mean estimated glomerular filtration rate was 56±0.6mL/min/1.73m2. Among patients receiving eCDSS with or without pharmacist counseling (n=336), 178 (53%) completed laboratory measurements and 138 (41%) had laboratory measurements followed by a PCP visit with eCDSS deployment. eCDSS was opened by the PCP for 102 (74%) patients, with at least 1 suggested order signed for 83 of these 102 (81%). Changes in systolic blood pressure were-2.1±1.5mm Hg with usual care, -2.8±1.8mm Hg with eCDSS, and -1.1±1.1 with eCDSS-PLUS (P=0.7). PCP awareness of CKD was 16% with usual care, 26% with eCDSS, and 32% for eCDSS-PLUS (P=0.09). In as-treated analyses, PCP awareness of CKD was significantly greater with eCDSS and eCDSS-PLUS (73% and 69%) versus usual care (47%; P=0.002).LimitationsRecruitment of smaller than intended sample size and limited uptake of the testing component of the intervention.ConclusionsAlthough we were unable to demonstrate the effectiveness of eCDSS to lower blood pressure and uptake of the eCDSS was limited by low testing rates, eCDSS use was high when laboratory measurements were available and was associated with higher PCP awareness of CKD.FundingGrants from government (National Institutes of Health) and not-for-profit (American Heart Association) entities.Trial registrationRegistered at ClinicalTrials.gov with study number NCT02925962.

Project description:BACKGROUND:Poor medication adherence is common and limits the effectiveness of treatment. OBJECTIVE:To investigate how social supports, automated alerts, and their combination improve medication adherence. DESIGN:Four-arm, randomized clinical trial with a 6-month intervention. PARTICIPANTS:A total of 179 CVS health employees or adult dependents with CVS Caremark prescription coverage, a current daily statin prescription, a medication possession ratio less than 80%, and Internet access. INTERVENTIONS:Participants were randomly assigned to control, social support (partner), automated adherence alert messages (alert), or both social support and alerts (partner?+?alert). Participants in the social support arms were asked to name a medication adherence partner (MAP) to help them take their medication. Participants in the alert arms were sent emails, text messages, or automated phone calls if they had failed to adhere on the previous day and on one or both of the 2 days before that. In partner?+?alert, both participants and fully enrolled MAPs received alerts. MAIN MEASURES:Adherence measured by wireless pill bottle opening. KEY RESULTS:Compared to 36.0% adherence in control, adherence was significantly greater in the alert arm (52.9%, difference vs. control of 17.0%, 95% CI for difference 6.3 to 27.6%, P?=?0.002) and the partner?+?alert arm (54.5%, difference vs. control of 18.6%, 95% CI for difference 6.6 to 30.5%, P?=?0.003). Adherence in the partner arm was not statistically significantly greater than control (43.2%, difference vs. control of 7.2%, 95% CI of difference -?5.2% to 19.5%, P?=?0.25). There were no statistically significant differences among the three treatment arms. Fewer participants invited a MAP in the partner?+?alert arm than the partner arm (P?=?0.02). CONCLUSIONS:Automated alerts were effective at improving medication adherence. Assigning a medication adherence partner did not statistically significantly affect adherence rates. TRIAL REGISTRATION:ClinicalTrials.gov Number NCT01890018 [ https://clinicaltrials.gov /].

Project description:Rationale & objectiveTo design and implement clinical decision support incorporating a validated risk prediction estimate of kidney failure in primary care clinics and to evaluate the impact on stage-appropriate monitoring and referral.Study designBlock-randomized, pragmatic clinical trial.Setting & participantsTen primary care clinics in the greater Boston area. Patients with stage 3-5 chronic kidney disease (CKD) were included. Patients were randomized within each primary care physician panel through a block randomization approach. The trial occurred between December 4, 2015, and December 3, 2016.InterventionPoint-of-care noninterruptive clinical decision support that delivered the 5-year kidney failure risk equation as well as recommendations for stage-appropriate monitoring and referral to nephrology.OutcomesThe primary outcome was as follows: Urine and serum laboratory monitoring test findings measured at one timepoint 6 months after the initial primary care visit and analyzed only in patients who had not undergone the recommended monitoring test in the preceding 12 months. The secondary outcome was nephrology referral in patients with a calculated kidney failure risk equation value of >10% measured at one timepoint 6 months after the initial primary care visit.ResultsThe clinical decision support application requested and processed 569,533 Continuity of Care Documents during the study period. Of these, 41,842 (7.3%) documents led to a diagnosis of stage 3, 4, or 5 CKD by the clinical decision support application. A total of 5,590 patients with stage 3, 4, or 5 CKD were randomized and included in the study. The link to the clinical decision support application was clicked 122 times by 57 primary care physicians. There was no association between the clinical decision support intervention and the primary outcome. There was a small but statistically significant difference in nephrology referral, with a higher rate of referral in the control arm.LimitationsContamination within provider and clinic may have attenuated the impact of the intervention and may have biased the result toward null.ConclusionsThe noninterruptive design of the clinical decision support was selected to prevent cognitive overload; however, the design led to a very low rate of use and ultimately did not improve stage-appropriate monitoring.FundingResearch reported in this publication was supported by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health under award K23DK097187.Trial registrationClinicalTrials.gov Identifier: NCT02990897.

Project description:BackgroundSelf-administration of medication (SAM) during hospitalization is a complex intervention where patients are involved in their course of treatment. The study aim was to pilot test the SAM intervention. The objectives were to assess the feasibility of conducting a randomized controlled trial on the safety and cost-consequences of SAM during hospitalization.MethodsThe study was performed in a Danish cardiology unit.Patients ≥ 18 years capable of self-administering medication during hospitalization were eligible. Patients were excluded if they did not self-administer medication at home, were incapable of self-administering medication, were not prescribed medication suitable for self-administration, did not bring their medication, or were unable to speak Danish.Feasibility was assessed as part of the pilot study. A future randomized controlled trial was considered feasible if it was possible to recruit 60 patients within 3 months, if outcome measurement method was capable of detecting dispensing errors in both groups, and if patients in the intervention group were more satisfied with the medication management during hospitalization compared to the control group.Forty patients were recruited to gain experience about the intervention (self-administration). Additionally, 20 patients were randomized to the intervention or control group (nurse-led dispensing) to gain experience about the randomization procedure.Dispensing error proportions were based on data collected through disguised observation of patients and nurses during dispensing. The error proportion in the control group was used for the sample size calculation. Patient acceptability was assessed through telephone calls.ResultsOf the 60 patients recruited, one withdrew and 11 were discharged before observation resulting in analysis of 39 patients in the intervention group and nine in the control group. A dispensing error proportion of 3.4% was found in the intervention group and 16.1% in the control group. A total of 91.7% of patients in the intervention group and 66.7% in the control group were highly satisfied with the medication management during hospitalization. The overall protocol worked as planned. Minor changes in exclusion criteria, intervention, and outcome measures were considered.ConclusionsIt may be feasible to perform a pragmatic randomized controlled trial of the safety and cost-consequences of self-administration of medication during hospitalization.Trial registrationClinicalTrials.gov, NCT03541421, retrospectively registered on 30 May 2018.

Project description:Rationale & objectiveThe study aimed to develop, implement, and evaluate a clinical decision support (CDS) system for chronic kidney disease (CKD) in a primary care setting, with the goal of improving CKD care in adults.Study designThis was a cluster randomized trial.Setting & participantsA total of 32 Midwestern primary care clinics were randomly assigned to either receive usual care or CKD-CDS intervention. Between April 2019 and March 2020, we enrolled 6,420 patients aged 18-75 years with laboratory-defined glomerular filtration rate categories of CKD Stage G3 and G4, and 1 or more of 6 CKD care gaps: absence of a CKD diagnosis, suboptimal blood pressure or glycated hemoglobin levels, indication for angiotensin-converting enzyme inhibitor or angiotensin receptor blocker but not prescribed, a nonsteroidal anti-inflammatory agent on the active medication list, or indication for a nephrology referral.InterventionThe CKD-CDS provided personalized suggestions for CKD care improvement opportunities directed to both patients and clinicians at primary care encounters.OutcomesWe assessed the proportion of patients meeting each of 6 CKD-CDS quality metrics representing care gap resolution after 18 months.ResultsThe adjusted proportions of patients meeting quality metrics in CKD-CDS versus usual care were as follows: CKD diagnosis documented (26.6% vs 21.8%; risk ratio [RR], 1.17; 95% CI, 0.91-1.51); angiotensin-converting enzyme inhibitor or angiotensin receptor blocker prescribed (15.9% vs 16.1%; RR, 0.95; 95% CI, 0.76-1.18); blood pressure control (20.4% vs 20.2%; RR, 0.98; 95% CI, 0.84-1.15); glycated hemoglobin level control (21.4% vs 22.1%; RR, 1.00; 95% CI, 0.80-1.24); nonsteroidal anti-inflammatory agent not on the active medication list (51.5% vs 50.4%; RR, 1.03; 95% CI, 0.90-1.17); and referral or visit to a nephrologist (38.7% vs 36.1%; RR, 1.02; 95% CI, 0.79-1.32).LimitationsWe encountered an overall reduction in expected primary care encounters and obstacles to point-of-care CKD-CDS utilization because of the coronavirus disease 2019 pandemic.ConclusionsThe CKD-CDS intervention did not lead to a significant improvement in CKD quality metrics. The challenges to CDS use during the coronavirus disease 2019 pandemic likely influenced these results.FundingNational Institute of Diabetes and Digestive and Kidney Diseases (R18DK118463).Trial registrationclinicaltrials.gov Identifier: NCT03890588.

Dataset Information

Medication Therapy Management after Hospitalization in CKD: A Randomized Clinical Trial.

Publications

Medication Therapy Management after Hospitalization in CKD: A Randomized Clinical Trial.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets