跳至主要内容
临床试验/NCT00462059
NCT00462059已完成不适用

Impact of a Medication Reconciliation Program on Patients Transitioning From an Inpatient Hospitalization to Primary Care

Kaiser Permanente1 个研究点 分布在 1 个国家目标入组 200 人开始时间: 2005年6月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
200
试验地点
1
主要终点
Number of emergency room visits post-discharge

研究概览

简要总结

The purpose of this study is to assess and compare the effectiveness of the Kaiser Permanente Colorado's (KPCO) Call Center's Medication Reconciliation Program and standard care in regards to their impacts on emergency department (ED) and urgent care visits, inpatient rehospitalizations, and adherence to preferred, formulary medications.

详细描述

This study will be a health services evaluation. This study will be a pilot study utilizing a randomized controlled trial design. This study will utilize secondary data collected from existing KPCO databases to assess outcomes. Interventions will occur over a one-month period. The study will take approximately twelve months to conduct including the data collection and analysis, results interpretation, and manuscript and report preparation. The duration of intervention group subject participation will be limited to the length of the medication reconciliation counseling phone call and the 3-month follow-up period while the duration of control group subject participation will be limited to the 3-month follow-up period.

KPCO internists discharging patients on medications to ambulatory care from either the Good Samaritan or St. Joseph hospitals over a four-week period will send discharge orders to the CPCC via Health Connect. Project-dedicated CPCC pharmacists will utilize the inclusion and exclusion criteria to determine patient eligibility. Project-dedicated CPCC staff will make several attempts at varying times during the 24 hours following reception of the discharge note in Health Connect to conduct the telephonic consent process among eligible patients. If a patient can not be contacted after several attempts, the staff member will leave a HIPAA-compliant message, if possible, to request either the patient or his/her caregiver call the CPCC. If the subject doesn't not contact the CPCC after being left such a message, the staff member will make two attempts the following day to contact the subject and/or his/her caregiver. Patients consenting to participate will be categorized by hospital and, based on category, randomly assigned to the intervention or control group. Project-dedicated pharmacists will review intervention group subjects' discharge medication orders, identify discrepancies between their primary care regimen and the hospital discharge orders, and collaborate with the patient's primary care physician or discharging provider to reconcile any discrepancies. Project-dedicated pharmacists will make several telephonic attempts at varying times during the 24 hours post-assignment to contact an intervention group subject and/or his/her caregiver to execute the medication review counseling after performing the medication review. If the subject can not be contacted after several attempts, the pharmacist will leave a HIPAA-compliant message, if possible, to request either the subject or his/her caregiver call the CPCC. If the subject doesn't not contact the CPCC in the day after being left such a message, the pharmacist will make two attempts per day for two more days to contact the subject and/or his/her caregiver. Assignment dates will be used as an index dates from which rolling baseline and follow-up periods will be determined.

Data will be analyzed on an intention-to-treat basis. Baseline subject characteristics and study outcomes for each of the cohorts will be reported as means, medians, and standard deviations for interval- and ratio-level variables (e.g., age) and proportions for nominal- and ordinal-level data (e.g., gender, hospital discharge diagnoses, post-discharge ED and urgent care visits, IP readmission). Interval-and ratio-level variables will be assessed for normality of their distributions. Appropriate parametric (e.g., independent samples t-test) or non-parametric (e.g., Wilcoxon rank-sum test) statistical tests will then be performed to assess differences in mean or median values. Ordinal-level and nominal-level will be assessed with the Pearson's chi-square statistical test. Logistic regression modeling will be used to assess the relationships between the group and binary data (e.g., ED and urgent care visits, receiving a non-preferred formulary agent) while adjusting for potential confounders (e.g., age, hospital discharge diagnosis, gender, CDS).

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Single Group
主要目的
Treatment
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者
否

入选标准

  • •- KPCO members discharged on medications from either the Good Samaritan or St. Joseph hospitals

排除标准

  • •- Discharged from the IP to a hospice or long term care or skilled nursing facility, less than 18 years of age, discharged from a hospital other than Good Samaritan or St. Joseph, or enrolled in another trial that is identified in Health Connect EMR

结局指标

主要结局

Number of emergency room visits post-discharge

Number of urgent care visits post-discharge

Number of inpatient rehospitalizations

Adherence to preferred, formulary medications

次要结局

未报告次要终点

研究者

申办方类型
Other

研究点 (1)

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