An electronic health record-based intervention to increase follow-up office visits and decrease rehospitalization in older adults.

OBJECTIVES: To assess the effect of an electronic health record-based transitional care intervention involving automated alerts to primary care providers and staff when older adults were discharged from the hospital. DESIGN: Randomized controlled trial. SETTING: Large multispecialty group practice. PARTICIPANTS: Individuals aged 65 and older discharged from hospital to home. INTERVENTION: In addition to notifying primary care providers about the individual's recent discharge, the system provided information about new drugs added during the inpatient stay, warnings about drug-drug interactions, recommendations for dose changes and laboratory monitoring of high-risk medications, and alerts to the primary care provider's support staff to schedule a posthospitalization office visit. MEASUREMENTS: An outpatient office visit with a primary care provider after discharge and rehospitalization within 30 days after discharge. RESULTS: Of the 1,870 discharges in the intervention group, 27.7% had an office visit with a primary care provider within 7 days of discharge. Of the 1,791 discharges in the control group, 28.3% had an office visit with a primary care provider within 7 days of discharge. In the intervention group, 18.8% experienced a rehospitalization within the 30-day period after discharge, compared with 19.9% in the control group. The hazard ratio for an office visit with a primary care physician did not significantly differ between the intervention and control groups. The hazard ratio for rehospitalization in the 30-day period after hospital discharge in the intervention versus the control group was 0.94 (95% confidence interval = 0.81-1.1). CONCLUSION: This electronic health record-based intervention did not have a significant effect on the timeliness of office visits to primary care providers after hospitalization or risk of rehospitalization.

Adverse drug events after hospital discharge in older adults: types, severity, and involvement of Beers Criteria Medications.

OBJECTIVES: To characterize adverse drug events (ADEs) occurring within the high-risk 45-day period after hospitalization in older adults. DESIGN: Clinical pharmacists reviewed the ambulatory records of 1,000 consecutive discharges. SETTING: A large multispecialty group practice closely aligned with a Massachusetts-based health plan. PARTICIPANTS: Hospitalized individuals aged 65 and older discharged home. MEASUREMENTS: Possible drug-related incidents occurring during the 45-day period after hospitalization were identified and presented to a pair of physician-reviewers who classified incidents as to whether an ADE was present, whether the event was preventable, and the severity of the event. Medications implicated in ADEs were further characterized according to their inclusion in the 2012 Beers Criteria for Potentially Inappropriate Medication Use in Older Adults. RESULTS: At least one ADE was identified during the 45-day period in 18.7% (n = 187) of the 1,000 discharges. Of the 242 ADEs identified, 35% (n = 84) were deemed preventable, of which 32% (n = 27) were characterized as serious, and 5% (n = 4) as life threatening. More than half of all ADEs occurred within the first 14 days after hospitalization. The percentage of ADEs in which Beers Criteria medications were implicated was 16.5% (n = 40). Beers criteria medications with both a high quality of evidence and strong strength of recommendation were implicated in 6.6% (n = 16) of the ADEs. CONCLUSION: ADEs are common and often preventable in older adults after hospital discharge, underscoring the need to address medication safety during this high-risk period in this vulnerable population. Beers criteria medications played a small role in these events, suggesting that efforts to improve the quality and safety of medication use during this critical transition period must extend beyond a singular focus on Beers criteria medications.

Patient completion of laboratory tests to monitor medication therapy: a mixed-methods study.

BACKGROUND: Little is known about the contribution of patient behavior to incomplete laboratory monitoring, and the reasons for patient non-completion of ordered laboratory tests remain unclear. OBJECTIVE: To describe factors, including patient-reported reasons, associated with non-completion of ordered laboratory tests. DESIGN: Mixed-Methods study including a quantitative assessment of the frequency of patient completion of ordered monitoring tests combined with qualitative, semi-structured, patient interviews. PARTICIPANTS: Quantitative assessment included patients 18 years or older from a large multispecialty group practice, who were prescribed a medication requiring monitoring. Qualitative interviews included a subset of show and no-show patients prescribed a cardiovascular, anticonvulsant, or thyroid replacement medication. MAIN MEASURES: Proportion of recommended monitoring tests for each medication not completed, factors associated with patient non-completion, and patient-reported reasons for non-completion. KEY RESULTS: Of 27,802 patients who were prescribed one of 34 medications, patient non-completion of ordered tests varied (range: 0-24 %, by drug-test pair). Factors associated with higher odds of test non-completion included: younger patient age (< 40 years vs. ≥ 80 years, adjusted odds ratio [AOR] 1.52, 95 % confidence interval [95 % CI] 1.27-1.83); lower medication burden (one medication vs. more than one drug, AOR for non-completion 1.26, 95 % CI 1.15-1.37), and lower visit frequency (0-5 visits/year vs. ≥ 19 visits/year, AOR 1.41, 95 % CI 1.25 to 1.59). Drug-test pairs with black box warning status were associated with greater odds of non-completion, compared to drugs without a black box warning or other guideline for testing (AOR 1.91, 95 % CI 1.66-2.19). Qualitative interviews, with 16 no-show and seven show patients, identified forgetting as the main cause of non-completion of ordered tests. CONCLUSIONS: Patient non-completion contributed to missed opportunities to monitor medications, and was associated with younger patient age, lower medication burden and black box warning status. Interventions to improve laboratory monitoring should target patients as well as physicians.

Technological resources and personnel costs required to implement an automated alert system for ambulatory physicians when patients are discharged from hospitals to home.

BACKGROUND: With the adoption of electronic medical records by medical group practices, there are opportunities to improve the quality of care for patients discharged from hospitals. However, there is little guidance for medical groups outside integrated hospital systems to automate the flow of patient information during transitions in care. OBJECTIVE: To describe the technological resources, expertise and time needed to develop an automated system providing information to ambulatory physicians when their patients are discharged from hospitals to home. DEVELOPMENT: Within a medical group practice, we developed an automated alert system that provides notification of discharges, reminders of the need for follow-up visits, drugs added during inpatient stays, and recommendations for laboratory monitoring of high-risk drugs. We tracked components of the information system required and the time spent by team members. We used USA national averages of hourly wages to estimate personnel costs. APPLICATION: Critical components of the information system are notifications of hospital discharges through an admission, discharge and transfer registration (ADT) interface, linkage to the group's scheduling system, access to information on pharmacy dispensing and lab tests, and an interface engine. Total personnel cost was $76,314. Nearly half (47%) was for 614 hours by physicians who developed content, provided overall project management, and reviewed alerts to ensure that only 'actionable' alerts would be sent. CONCLUSION: Implementing a system to provide information about hospital discharges requires strong internal informatics expertise, cooperation between facilities and ambulatory providers, development of electronic linkages, and extensive commitment of physician time.

Quality measurement of medication monitoring in the "meaningful use" era.

OBJECTIVES: While the 2011 implementation of "meaningful use" legislation for certified electronic health records (EHRs) promises to change quality reporting by overcoming data capture issues affecting quality measurement, the magnitude of this effect is unclear. We compared the measured quality of laboratory monitoring of Healthcare Effectiveness Data and Information Set (HEDIS) medications based on specifications that (1) include and exclude patients hospitalized in the measurement year and (2) use physician test orders and patient test completion. STUDY DESIGN: Cross-sectional study. METHODS: Among patients 18 years and older in a large multispecialty group practice utilizing a fully implemented EHR between January 1, 2008, and July 31, 2008, we measured the prevalence of ordering and completion of laboratory tests monitoring HEDIS medications (cardiovascular drugs [angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, digoxin, and diuretics] and anticonvulsants [carbamazepine, phenobarbital, phenytoin, and valproic acid]). RESULTS: Measures excluding hospitalized patients were not statistically significantly different from measures including hospitalized patients, except for digoxin, but this difference was not clinically significant. The prevalence of appropriate monitoring based on test orders typically captured in the EHR was statistically significantly higher than the prevalence based on claims-based test completions for cardiovascular drugs. CONCLUSIONS: HEDIS quality metrics based on data typically collected from claims undermeasured quality of medication monitoring compared to EHR data. The HEDIS optional specification excluding hospitalized patients from the monitoring measure does not have a significant impact on reported quality. Integration of EHR data into quality measurement may significantly change some organizations' reported quality of care.

Vaccine counseling: a content analysis of patient-physician discussions regarding human papilloma virus vaccine.

OBJECTIVES: (1) Describe content and character of patient-physician human papilloma virus (HPV) vaccine discussions; (2) explore the relationship between selected characteristics and vaccine uptake. METHODS: Content analyses were conducted on 184 transcripts of audio-taped patient encounters with 11-26 year old female patients that occurred from August 2008 to March 2009 and contained mention of the HPV vaccine. Directed qualitative content analysis sought to identify key themes with a focus on elements related to communication. Quantitative content analysis included determination of associations between selected factors (e.g., physician specialty, communication variables, patient age) and vaccination rates. RESULTS: Communication themes identified though qualitative content analysis demonstrated potential opportunities for improvement in vaccine communication were identified. Quantitative content analysis showed twenty-eight percent of eligible patients received HPV vaccine and on average these patients were younger (17.0 vs. 19.6 years). The youngest and oldest patients were vaccinated less frequently. CONCLUSIONS: Targeting age groups with lower vaccination rates may increase overall vaccine uptake. Additional quantitative analyses of patient-physician discussions about vaccine may generate further recommendations regarding optimal communication strategies for HPV vaccine counseling.

Baseline and follow-up laboratory monitoring of cardiovascular medications.

BACKGROUND: Laboratory monitoring of medications is typically used to establish safety prior to drug initiation and to detect drug-related injury following initiation. It is unclear whether black box warnings (BBWs) as well as evidence- and consensus-based clinical guidelines increase the likelihood of appropriate monitoring. OBJECTIVE: To determine the proportion of patients newly initiated on selected cardiovascular medications with baseline assessment and follow-up laboratory monitoring and compare the prevalence of laboratory testing for drugs with and without BBWs and guidelines. METHODS: This cross-sectional study included patients aged 18 years or older from a large multispecialty group practice who were prescribed a cardiovascular medication (angiotensin converting enzyme inhibitors, angiotensin II receptor blockers, amiodarone, digoxin, lipid-lowering agents, diuretics, and potassium supplements) between January 1 and July 31, 2008. The primary outcome measure was laboratory test ordering for baseline assessment and follow-up monitoring of newly initiated cardiovascular medications. RESULTS: The number of new users of each study drug ranged from 49 to 1757 during the study period. Baseline laboratory test ordering across study drugs ranged from 37.4% to 94.8%, and follow-up laboratory test ordering ranged from 20.0% to 77.2%. Laboratory tests for drugs with baseline laboratory assessment recommendations in BBWs were more commonly ordered than for drugs without BBWs (86.4% vs 78.0%, p < 0.001). Drugs with follow-up monitoring recommendations in clinical guidelines had a lower prevalence of monitoring (33.1% vs 50.7%, p < 0.001). CONCLUSIONS: Baseline assessment of cardiovascular medication monitoring is variable. Quality measurement of adherence to BBW recommendations may improve monitoring.

Development and pilot testing of guidelines to monitor high-risk medications in the ambulatory setting.

OBJECTIVES: To develop guidelines to monitor high-risk medications and to assess the prevalence of laboratory testing for these medications among a multispecialty group practice. STUDY DESIGN: Safety intervention trial. METHODS: We developed guidelines for the laboratory monitoring of high-risk medications as part of a patient safety intervention trial. An advisory committee of national experts and local leaders used a 2-round Internet-based Delphi process to select guideline medications based on the importance of monitoring for efficacy, safety, and drug-drug interactions. Test frequency recommendations were developed by academic pharmacists based on a literature review and local interdisciplinary consensus. To estimate the potential effect of the planned intervention, we determined the prevalence of high-risk drug dispensings and laboratory testing for guideline medications between January 1, 2008, and July 31, 2008. RESULTS: Consensus on medications to include in the guidelines was achieved in 2 rounds. Final guidelines included 35 drugs or drug classes and 61 laboratory tests. The prevalence of monitoring ranged from less than 50.0% to greater than 90.0%, with infrequently prescribed drugs having a lower prevalence of recommended testing (P <.001 for new dispensings and P <.01 for chronic dispensings, nonparametric test for trend). When more than 1 test was recommended for a selected medication, monitoring within a medication sometimes differed by greater than 50.0%. CONCLUSIONS: Even among drugs for which there is general consensus that laboratory monitoring is important, the prevalence of monitoring is highly variable. Furthermore, infrequently prescribed medications are at higher risk for poor monitoring.