Mortality in Stable Coronary Disease in Patients With Intermediate- or High-Risk Myocardial Perfusion Imaging.

The management of patients with stable coronary disease and intermediate- or high-risk features on single photon emission computed tomography myocardial perfusion imaging (SPECT MPI) continues to be controversial as to whether they should be treated with an initial invasive strategy (catheterization and revascularization when feasible) or medical therapy alone to improve mortality. We performed a retrospective observational study of 1,946 patients with intermediate- or high-risk SPECT MPI scans performed over a 6-year period (from 2014 to 2019). Each patient was followed from the time of SPECT MPI to 16 months after the last patient was enrolled. The primary end point was all-cause mortality and the secondary end point cardiovascular mortality. Of the eligible 1,697 patients, 1,144 had an intermediate-risk scan, 553 a high-risk scan, 915 had medical therapy alone, and 782 went on an initial invasive strategy. All patients were divided into the following three groups: combined SPECT MPI (both intermediate- and high-risk), high-risk SPECT MPI, and intermediate-risk SPECT MPI groups. After propensity score matching, there was a statistically significant difference in cardiovascular death (5.9% vs 2.7%; p = 0.038) in the medical therapy cohort compared with initial invasive cohort in the combined SPECT MPI group, but no difference in all-cause death (15.7% vs 13%; p = 0.318). On subgroup analysis, in intermediate-risk SPECT MPI group, there was no significant difference in either all-cause death (13.8 vs 11.7%; p = 0.583) or cardiac death (5.4% vs 2.5%; p = 0.16) in conservative cohort compared with invasive strategy cohort. In high-risk SPECT MPI group, conservative therapy cohort had higher cardiac death (11.7% vs 2.5%; p = 0.002) compared with initial invasive strategy cohort, but there was no significant difference in all-cause death (24.5% vs 15.3%; p = 0.052). In conclusion, this study supports that patients with intermediate- or high-risk SPECT MPI scans when considered together or only with high-risk features, derive a cardiovascular mortality benefit with an initial invasive strategy. Patients who had undergone intermediate-risk SPECT MPI had similar outcomes with either medical therapy alone or initial invasive evaluation.

Electronic Health Record Portal Messages and Interactive Voice Response Calls to Improve Rates of Early Season Influenza Vaccination: Randomized Controlled Trial.

BACKGROUND: Patient reminders for influenza vaccination, delivered via an electronic health record patient portal and interactive voice response calls, offer an innovative approach to engaging patients and improving patient care. OBJECTIVE: The goal of this study was to test the effectiveness of portal and interactive voice response outreach in improving rates of influenza vaccination by targeting patients in early September, shortly after vaccinations became available. METHODS: Using electronic health record portal messages and interactive voice response calls promoting influenza vaccination, outreach was conducted in September 2015. Participants included adult patients within a large multispecialty group practice in central Massachusetts. Our main outcome was electronic health record-documented early influenza vaccination during the 2015-2016 influenza season, measured in November 2015. We randomly assigned all active portal users to 1 of 2 groups: (1) receiving a portal message promoting influenza vaccinations, listing upcoming clinics, and offering online scheduling of vaccination appointments (n=19,506) or (2) receiving usual care (n=19,505). We randomly assigned all portal nonusers to 1 of 2 groups: (1) receiving interactive voice response call (n=15,000) or (2) receiving usual care (n=43,596). The intervention also solicited patient self-reports on influenza vaccinations completed outside the clinic. Self-reported influenza vaccination data were uploaded into the electronic health records to increase the accuracy of existing provider-directed electronic health record clinical decision support (vaccination alerts) but were excluded from main analyses. RESULTS: Among portal users, 28.4% (5549/19,506) of those randomized to receive messages and 27.1% (5294/19,505) of the usual care group had influenza vaccinations documented by November 2015 (P=.004). In multivariate analysis of portal users, message recipients were slightly more likely to have documented vaccinations when compared to the usual care group (OR 1.07, 95% CI 1.02-1.12). Among portal nonusers, 8.4% (1262/15,000) of those randomized to receive calls and 8.2% (3586/43,596) of usual care had documented vaccinations (P=.47), and multivariate analysis showed nonsignificant differences. Over half of portal messages sent were opened (10,112/19,479; 51.9%), and over half of interactive voice response calls placed (7599/14,984; 50.7%) reached their intended target, thus we attained similar levels of exposure to the messaging for both interventions. Among portal message recipients, 25.4% of message openers (2570/10,112) responded to a subsequent question on receipt of influenza vaccination; among interactive voice response recipients, 72.5% of those reached (5513/7599) responded to a similar question. CONCLUSIONS: Portal message outreach to a general primary care population achieved a small but statistically significant improvement in rates of influenza vaccination (OR 1.07, 95% CI 1.02-1.12). Interactive voice response calls did not significantly improve vaccination rates among portal nonusers (OR 1.03, 95% CI 0.96-1.10). Rates of patient engagement with both modalities were favorable. TRIAL REGISTRATION: ClinicalTrials.gov NCT02266277; https://clinicaltrials.gov/ct2/show/NCT02266277.

Adherence to Blood Cholesterol Treatment Guidelines Among Physicians Managing Patients With Atherosclerotic Cardiovascular Disease.

The ACC/AHA blood cholesterol treatment guidelines recommend statin therapy for all patients after experiencing an acute cardiovascular event. Previous analyses have shown that physicians have been slow to adopt guidelines, and many patients remain untreated or undertreated with statins after a cardiovascular event. However, reasons for this remain unknown. This analysis used electronic medical records and patient chart data from Reliant Medical Group (Worcester, Massachusetts) to evaluate physician adherence to the 2013 ACC/AHA blood cholesterol guidelines when treating patients with evidence of acute atherosclerotic cardiovascular disease and the reasons for the observed treatment decisions. Less than 50% of acute atherosclerotic cardiovascular disease patients were treated according to the ACC/AHA guidelines. Nearly 42% of patients not treated according to guidelines received a lower statin intensity than recommended. The most common reason cited by 41.8% of physicians for treating with a statin intensity below the recommended intensity was low-density lipoprotein cholesterol stable or at goal, despite ACC/AHA guidelines recommending specific statin intensities rather than specific low-density lipoprotein cholesterol levels. In conclusion, physician and patient education on the importance of maximizing lipid-lowering therapy in this high-risk patient population should be emphasized.

Improving Rates of Outpatient Influenza Vaccination Through EHR Portal Messages and Interactive Automated Calls: A Randomized Controlled Trial.

BACKGROUND: Patient reminders for influenza vaccination, delivered via electronic health record (EHR) patient portal messages and interactive voice response (IVR) calls, offer an innovative approach to improving patient care. OBJECTIVE: To test the effectiveness of portal and IVR outreach in improving rates of influenza vaccination. DESIGN: Randomized controlled trial of EHR portal messages and IVR calls promoting influenza vaccination. PARTICIPANTS: Adults with no documented influenza vaccination 2 months after the start of influenza season (2014-2015). INTERVENTION: Using a factorial design, we assigned 20,000 patients who were active portal users to one of four study arms: (a) receipt of a portal message promoting influenza vaccines, (b) receipt of IVR call with similar content, (c) both a and b, or (d) neither (usual care). We randomized 10,000 non-portal users to receipt of IVR call or usual care. In all intervention arms, information on pneumococcal vaccination was included if the targeted patient was overdue for pneumococcal vaccine. MAIN MEASURES: EHR-documented influenza vaccination during the 2014-2015 influenza season, measured April 2015. KEY RESULTS: Among portal users, 14.0% (702) of those receiving both portal messages and calls, 13.4% (669) of message recipients, 12.8% (642) of call recipients, and 11.6% (582) of those with usual care received vaccines. On multivariable analysis of portal users, those receiving portal messages alone (OR 1.20, 95% CI 1.06-1.35) or IVR calls alone (OR 1.15 95% CI 1.02-1.30) were more likely than usual care recipients to be vaccinated. Those receiving both messages and calls were also more likely than the usual care group to be vaccinated (ad hoc analysis, using a Bonferroni correction: OR 1.29, 97.5% CI 1.13, 1.48). Among non-portal users, 8.5% of call recipients and 8.6% of usual care recipients received influenza vaccines (p = NS). Pneumococcal vaccination rates showed no significant improvement. CONCLUSIONS: Our outreach achieved a small but significant improvement in influenza vaccination rates. Registration: ClinicalTrials.gov Identifier NCT02266277 ( https://clinicaltrials.gov/ct2/show/NCT02266277 ).

Improving Rates of Influenza Vaccination Through Electronic Health Record Portal Messages, Interactive Voice Recognition Calls and Patient-Enabled Electronic Health Record Updates: Protocol for a Randomized Controlled Trial.

BACKGROUND: Clinical decision support (CDS), including computerized reminders for providers and patients, can improve health outcomes. CDS promoting influenza vaccination, delivered directly to patients via an electronic health record (EHR) patient portal and interactive voice recognition (IVR) calls, offers an innovative approach to improving patient care. OBJECTIVE: To test the effectiveness of an EHR patient portal and IVR outreach to improve rates of influenza vaccination in a large multispecialty group practice in central Massachusetts. METHODS: We describe a nonblinded, randomized controlled trial of EHR patient portal messages and IVR calls designed to promote influenza vaccination. In our preparatory phase, we conducted qualitative interviews with patients, providers, and staff to inform development of EHR portal messages with embedded questionnaires and IVR call scripts. We also provided practice-wide education on influenza vaccines to all physicians and staff members, including information on existing vaccine-specific EHR CDS. Outreach will target adult patients who remain unvaccinated for more than 2 months after the start of the influenza season. Using computer-generated randomization and a factorial design, we will assign 20,000 patients who are active users of electronic patient portals to one of the 4 study arms: (1) receipt of a portal message promoting influenza vaccines and offering online appointment scheduling; (2) receipt of an IVR call with similar content but without appointment facilitation; (3) both (1) and (2); or (4) neither (1) nor (2) (usual care). We will randomize patients without electronic portals (10,000 patients) to (1) receipt of IVR call or (2) usual care. Both portal messages and IVR calls promote influenza vaccine completion. Our primary outcome is percentage of eligible patients with influenza vaccines administered at our group practice during the 2014-15 influenza season. Both outreach methods also solicit patient self-report on influenza vaccinations completed outside the clinic or on barriers to influenza vaccination. Self-reported data from both outreach modes will be uploaded into the EHR to increase accuracy of existing provider-directed EHR CDS (vaccine alerts). RESULTS: With our proposed sample size and using a factorial design, power calculations using baseline vaccination rate estimates indicated that 4286 participants per arm would give 80% power to detect a 3% improvement in influenza vaccination rates between groups (α=.05; 2-sided). Intention-to-treat unadjusted chi-square analyses will be performed to assess the impact of portal messages, either alone or in combination with the IVR call, on influenza vaccination rates. The project was funded in January 2014. Patient enrollment for the project described here completed in December 2014. Data analysis is currently under way and first results are expected to be submitted for publication in 2016. CONCLUSIONS: If successful, this study's intervention may be adapted by other large health care organizations to increase vaccination rates among their eligible patients. CLINICALTRIAL: ClinicalTrials.gov NCT02266277; https://clinicaltrials.gov/ct2/show/NCT02266277 (Archived by WebCite at http://www.webcitation.org/6fbLviHLH).

A Pilot Health Information Technology-Based Effort to Increase the Quality of Transitions From Skilled Nursing Facility to Home: Compelling Evidence of High Rate of Adverse Outcomes.

OBJECTIVES: Older adults are often transferred from hospitals to skilled nursing facilities (SNFs) for post-acute care. Patients may be at risk for adverse outcomes after SNF discharges, but little research has focused on this period. DESIGN: Assessment of the feasibility of a transitional care intervention based on a combination of manual information transmission and health information technology to provide automated alert messages to primary care physicians and staff; pre-post analysis to assess potential impact. SETTING: A multispecialty group practice. PARTICIPANTS: Adults aged 65 and older, discharged from SNFs to home; comparison group drawn from SNF discharges during the previous 1.5 years, matched on facility, patient age, and sex. MEASUREMENTS: For the pre-post analysis, we tracked rehospitalization within 30 days after discharge and adverse drug events within 45 days. RESULTS: The intervention was developed and implemented with manual transmission of information between 8 SNFs and the group practice followed by entry into the electronic health record. The process required a 5-day delay during which a large portion of the adverse events occurred. Over a 1-year period, automated alert messages were delivered to physicians and staff for the 313 eligible patients discharged from the 8 SNFs to home. We compared outcomes to those of individually matched discharges from the previous 1.5 years and found similar percentages with 30-day rehospitalizations (31% vs 30%, adjusted HR 1.06, 95% CI 0.80-1.4). Within the adverse drug event (ADE) study, 30% of the discharges during the intervention period and 30% of matched discharges had ADEs within 45 days. CONCLUSION: Older adults discharged from SNFs are at high risk of adverse outcomes immediately following discharge. Simply providing alerts to outpatient physicians, especially if delivered multiple days after discharge, is unlikely to have any impact on reducing these rates.

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.

Overcoming challenges integrating patient-generated data into the clinical EHR: lessons from the CONtrolling Disease Using Inexpensive IT--Hypertension in Diabetes (CONDUIT-HID) Project.

INTRODUCTION: The CONDUIT-HID intervention integrates patients' electronic blood pressure measurements directly into the clinical EHR using Microsoft HealthVault as an intermediary data store. The goal of this paper is to describe generalizable categories of patient and technical challenges encountered in the development and implementation of this inexpensive, commercial off-the-shelf consumer health informatics intervention, examples of challenges within each category, and how the example challenges were resolved prior to conducting an RCT of the intervention. METHODS: The research team logged all challenges and mediation strategies during the technical development of the intervention, conducted home visits to observe patients using the intervention, and conducted telephone calls with patients to understand challenges they encountered. We then used these data to iteratively refine the intervention. RESULTS: The research team identified a variety of generalizable categories of challenges associated with patients uploading data from their homes, patients uploading data from clinics because they did not have or were not comfortable using home computers, and patients establishing the connection between HealthVault and the clinical EHR. Specific challenges within these categories arose because: (1) the research team had little control over the device and application design, (2) multiple vendors needed to coordinate their actions and design changes, (3) the intervention use cases were not anticipated by the device and application designers, (4) PHI accessed on clinic computers needed to be kept secure, (5) the research team wanted the data in the clinical EHR to be valid and reliable, (6) patients needed the ability to share only the data they wanted, and (7) the development of some EHR functionalities were new to the organization. While these challenges were varied and complex, the research team was able to successfully resolve each one prior to the start of the RCT. CONCLUSIONS: By identifying these generalizable categories of challenges, we aim to help others proactively search for and remedy potential challenges associated with their interventions, rather than reactively responding to problems as they arise. We posit that this approach will significantly increase the likelihood that these types of interventions will be successful.

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 of life of adults with workplace exacerbation of asthma.

OBJECTIVE: A cross-sectional study collecting demographic, work history, disease, and quality-of-life (QOL) data from adults with asthma was explored for a relationship between workplace exacerbation of asthma (WEA) and QOL. STUDY DESIGN AND SETTING: The study population of adults with asthma was drawn from adults affiliated with Fallon Community Health Plan, a health maintenance organization serving Massachusetts. RESULTS: The sample consisted of 598 adults with asthma. Based on univariate analyses, study participants with WEA had a statistically significant higher Total QOL score, indicating a worse quality of life, than participants whose asthma was not work-related (2.43 vs. 1.74, P < or = 0.001), and also higher scores on the instrument's four subscales for Breathlessness, Mood Disturbance, Social Disruptions, and Health Concerns. After controlling for covariates using multiple linear regression, the relationship between WEA and the Total QOL score was statistically significant (P = 0.0004) with a coefficient of 0.54. The coefficient for WEA was also statistically significant based on regression models for all the subscales with the exception of the Breathlessness score (P = 0.08). CONCLUSION: In summary, WEA was associated with a worse QOL. Ideally, employees and employers would work together to minimize the conditions at work that contribute to WEA, which should decrease the frequency of WEA and related degradation of QOL.

The validation of work-related self-reported asthma exacerbation.

OBJECTIVE: To determine the validity of work-related self-reported exacerbation of asthma using the findings from serial peak expiratory flow (PEF) measurements as the standard. METHODS: Adults with asthma treated in a health maintenance organisation were asked to conduct serial spirometry testing at home and at work for 3 weeks. Self-reported respiratory symptoms and medication use were recorded in two ways: a daily log completed concurrently with the serial PEF testing and a telephone questionnaire administered after the PEF testing. Three researchers evaluated the serial PEF records and judged whether a work relationship was evident. RESULTS: 95 of 382 (25%) working adults with asthma provided adequate serial PEF data, and 13 of 95 (14%) were judged to have workplace exacerbation of asthma (WEA) based on these data. Self-reported concurrent medication use was the most valid single operational definition, with a sensitivity of 62% and a specificity of 65%. CONCLUSIONS: A work-related pattern of self-reported asthma symptoms or medication use was usually not corroborated by serial PEF testing and failed to identify many people who had evidence of WEA based on the serial PEF measurements.