Trends in breast and prostate cancer screening and diagnostic procedures during the COVID-19 pandemic in central Massachusetts.

PURPOSE: We calculated rates of breast and prostate cancer screening and diagnostic procedures performed during the COVID-19 pandemic through December 2021 compared to the same months in 2019 in a large healthcare provider group in central Massachusetts. METHODS: We included active patients of the provider group between January 2019 and December 2021 aged 30-85 years. Monthly rates of screening mammography and digital breast tomosynthesis, breast MRI, total prostate specific antigen (PSA), and breast or prostate biopsy per 1,000 people were compared by year overall, by age, and race/ethnicity. Completed procedures were identified by relevant codes in electronic health record data. RESULTS: Rates of screening mammography, tomosynthesis, and PSA testing reached the lowest levels in April-May 2020. Breast cancer screening rates decreased 43% in March and 99% in April and May 2020, compared to 2019. Breast cancer screening rates increased gradually beginning in June 2020 through 2021, although more slowly in Black and Hispanic women and in women aged 75-85. PSA testing rates decreased 34% in March, 78% in April, and 53% in May 2020, but rebounded to pre-pandemic levels by June 2020; trends were similar across groups defined by age and race/ethnicity. CONCLUSION: The observed decline in two common screening procedures during the COVID-19 pandemic reflects the impact of the pandemic on cancer early detection and signals potential downstream effects on the prognosis of delayed cancer diagnoses. The slower rate of return for breast cancer screening procedures in certain subgroups should be investigated to ensure all women return for routine screenings.

Harms of cervical cancer screening in the United States and the Netherlands.

We studied harms related to cervical cancer screening and management of screen-positive women in the United States (US) and the Netherlands. We utilized data from four US integrated health care systems (SEARCH), the US National Health Interview Survey, New Mexico state, the Netherlands national histopathology registry, and included studies on adverse health effects of cervical screening. We compared the number of Papanicolaou (Pap) smear tests, abnormal test results, punch biopsies, treatments, health problems (anxiety, pain, bleeding and discharge) and preterm births associated with excisional treatments. Results were age-standardized to the 2007 US population. Based on SEARCH, an estimated 36 million Pap tests were performed in 2007 for 91 million US women aged 21-65 years, leading to 2.3 million abnormal Pap tests, 1.5 million punch biopsies, 0.3 million treatments for precancerous lesions, 5 thousand preterm births and over 8 million health problems. Under the Netherlands screening practice, fewer Pap tests (58%), abnormal test results (64%), punch biopsies (75%), treatment procedures (40%), preterm births (60%) and health problems (63%) would have occurred. The SEARCH data did not differ much from other US data for 2007 or from more recent data up to 2013. Thus compared to the less intensive screening practice in the Netherlands, US practice of cervical cancer screening may have resulted in two- to threefold higher harms, while the effects on cervical cancer incidence and mortality are similar. The results are also of high relevance in making recommendations for HPV screening. Systematic collection of harms data is needed for monitoring and for better incorporation of harms in making screening recommendations.

Primary Care Providers' Opening of Time-Sensitive Alerts Sent to Commercial Electronic Health Record InBaskets.

BACKGROUND: Time-sensitive alerts are among the many types of clinical notifications delivered to physicians' secure InBaskets within commercial electronic health records (EHRs). A delayed alert review can impact patient safety and compromise care. OBJECTIVE: To characterize factors associated with opening of non-interruptive time-sensitive alerts delivered into primary care provider (PCP) InBaskets. DESIGN AND PARTICIPANTS: We analyzed data for 799 automated alerts. Alerts highlighted actionable medication concerns for older patients post-hospital discharge (2010-2011). These were study-generated alerts sent 3 days post-discharge to InBaskets for 75 PCPs across a multisite healthcare system, and represent a subset of all urgent InBasket notifications. MAIN MEASURES: Using EHR access and audit logs to track alert opening, we performed bivariate and multivariate analyses calculating associations between patient characteristics, provider characteristics, contextual factors at the time of alert delivery (number of InBasket notifications, weekday), and alert opening within 24 h. KEY RESULTS: At the time of alert delivery, the PCPs had a median of 69 InBasket notifications and had received a median of 379.8 notifications (IQR 295.0, 492.0) over the prior 7 days. Of the 799 alerts, 47.1% were opened within 24 h. Patients with longer hospital stays (>4 days) were marginally more likely to have alerts opened (OR 1.48 [95% CI 1.00-2.19]). Alerts delivered to PCPs whose InBaskets had a higher number of notifications at the time of alert delivery were significantly less likely to be opened within 24 h (top quartile >157 notifications: OR 0.34 [95% CI 0.18-0.61]; reference bottom quartile ≤42). Alerts delivered on Saturdays were also less likely to be opened within 24 h (OR 0.18 [CI 0.08-0.39]). CONCLUSIONS: The number of total InBasket notifications and weekend delivery may impact the opening of time-sensitive EHR alerts. Further study is needed to support safe and effective approaches to care team management of InBasket notifications.

Training in the Conduct of Population-Based Multi-Site and Multi-Disciplinary Studies: the Cancer Research Network's Scholars Program.

Expanding research capacity of large research networks within health care delivery systems requires strategically training both embedded and external investigators in necessary skills for this purpose. Researchers new to these settings frequently lack the skills and specialized knowledge conducive to multi-site and multi-disciplinary research set in delivery systems. This report describes the goals and components of the Cancer Research Network (CRN) Scholars Program, a 26-month training program developed to increase the capacity for cancer research conducted within the network's participating sites, its progression from training embedded investigators to a mix of internal and external investigators, and the content evolution of the training program. The CRN Scholars program was launched in 2007 to assist junior investigators from member sites develop independent and sustainable research programs within the CRN. Resulting from CRN's increased emphasis on promoting external collaborations, the 2013 Scholars program began recruiting junior investigators from external institutions committed to conducting delivery system science. Based on involvement of this broader population and feedback from prior Scholar cohorts, the program has honed its focus on specific opportunities and issues encountered in conducting cancer research within health care delivery systems. Efficiency and effectiveness of working within networks is accelerated by strategic and mentored navigation of these networks. Investing in training programs specific to these settings provides the opportunity to improve multi-disciplinary and multi-institutional collaboration, particularly for early-stage investigators. Aspects of the CRN Scholars Program may help inform others considering developing similar programs to expand delivery system research or within large, multi-disciplinary research networks.

Cervical cancer screening and follow-up in 4 geographically diverse US health care systems, 1998 through 2007.

BACKGROUND: Cervical cancer screening and follow-up guidelines have changed considerably in recent years, but to the authors' knowledge few published reports exist to estimate the impact of these changes in community-based settings. The authors examined the patterns and results of cervical cancer testing and follow-up over a decade in 4 geographically diverse US health care systems to inform the future evaluation of changes resulting from increased uptake of the human papillomavirus (HPV) vaccination. METHODS: The authors studied women aged 21 to 65 years who were members of one of these health systems at any time between 1998 and 2007. Data were collected and standardized across sites, based on receipt of Papanicolaou (Pap) and HPV tests, HPV vaccination, cervical biopsies, and treatment of cervical dysplasia. Annual rates (per 1000 person-years) of Pap testing, HPV testing, and cervical biopsy and treatment procedures were calculated. Screening intervals and trends in the results of screening Pap tests and cervical biopsies also were examined. RESULTS: Pap testing rates decreased (from 483 per 1000 person-years in 2000 to 412 per 1000 person-years in 2007) and HPV testing rates increased over the study period. Screening frequency varied across health care systems, and many women continued to receive annual testing. All 4 sites moved to less frequent screening over the study period without marked changes in the overall use of cervical biopsy or treatment. CONCLUSIONS: Despite differences over time and across health plans in rates of cervical cancer testing and follow-up cervical procedures, the authors found no notable differences in Pap test results, diagnostic or treatment procedure rates, or pathological outcomes. This finding suggests that the longer screening intervals did not lead to more procedures or more cancer diagnoses.

Association of early post-discharge follow-up by a primary care physician and 30-day rehospitalization among older adults.

BACKGROUND: Rehospitalizations within 30 days of discharge are responsible for a large portion of healthcare spending. One approach to preventing rehospitalizations is early follow-up, usually defined as an office visit with a primary care physician within 7 days of discharge--an approach that is being incentivized by health plans. However, evidence regarding its effectiveness is limited. OBJECTIVE: We aimed to determine whether an office visit with a primary care physician within 7 days after discharge is associated with 30-day rehospitalization. DESIGN: This was an observational study set within a randomized trial. PARTICIPANTS: The study included patients age 65 and older receiving care from a multi-specialty group practice and discharged from hospital to home between 26 August 2010 and 25 August 2011. To control for confounding, we identified characteristics of patients and hospital stays that are predictive of rehospitalization, and also developed high-dimensional propensity scores. Analyses used Cox proportional hazards models and took into account varying amounts of opportunity time for office visits. MAIN MEASURES: We looked at 30-day rehospitalizations at any hospital. KEY RESULTS: Of 3,661 patients discharged to home during the study year, 707 (19.3%) were rehospitalized within 30 days. Patients receiving an office visit within 7 days numbered 1,808 (49.4%), and of these, 1,000 (27.3%) were with a primary care physician. In models predicting rehospitalization, stratified on deciles of propensity score and controlling for additional confounders, the hazard ratios associated with office visits with a primary care physician within 7 days were 0.98 (95% CI 0.80, 1.21); for visits with any physician, the hazard ratio was HR 1.04, (95% CI 0.87, 1.25). CONCLUSIONS: We found no protective effect for office visits within 7 days. Such visits may need to be specifically focused on a range of issues related to the specific reasons why patients are rehospitalized. It is likely that outpatient visits will need to be set within comprehensive transition programs.

Comprehensive evaluation of the incidence of late effects in 5-year survivors of breast cancer.

Late effects of breast cancer affect the quality of survivorship. Using administrative data, we compared the occurrence of almost all ICD9 codes among older breast cancer survivors to that among a matched comparison cohort to generate new hypotheses. Breast cancer patients 65 years or older diagnosed 1990-1994 in 6 integrated care settings and who survived at least 5 years were matched with a cohort of women without a history of breast cancer on care setting, age, and calendar time. We collected data on the occurrence of incident ICD9 codes beginning 6 years after the breast cancer diagnosis date and continuing to year 15, and comparable data for the matched woman. We calculated hazard ratios (HRs) and 95 % confidence intervals associating breast cancer survivorship with incidence of each ICD9 code. We used semi-Bayes methods to address multiple comparisons. Older breast cancer survivors had about the same occurrence of diseases and conditions 6-15 years after breast cancer diagnosis as comparable women. The median of 564 adjusted HRs equaled 1.06, with interquartile range 0.92-1.3. The distribution of HRs pertaining to cancer-related ICD codes was shifted toward positive associations, and the distribution pertaining to cardiovascular-related ICD codes was shifted toward negative associations. In this hypothesis-scanning study, we observed little difference in the occurrence of non-breast cancer-related diseases and conditions among older, long-term breast cancer survivors, and comparable women without a history of breast cancer.

Incident comorbidities and all-cause mortality among 5-year survivors of Stage I and II breast cancer diagnosed at age 65 or older: a prospective-matched cohort study.

Five-year breast cancer survivors, diagnosed after 65 years of age, may develop more incident comorbidities than similar populations free of cancer. We investigated whether older breast cancer survivors have a similar comorbidity burden 6-15 years after cancer diagnosis to matched women free of breast cancer at start of follow-up and whether incident comorbidities are associated with all-cause mortality. In this prospective cohort study, 1,361 older 5-year early-stage breast cancer survivors diagnosed between 1990 and 1994 and 1,361 age- and health system-matched women were followed for 10 years. Adjudicated medical record review captured prevalent and incident comorbidities during follow-up or until death as collected from the National Death Index. Older 5-year breast cancer survivors did not acquire incident comorbidities more often than matched women free of breast cancer in the subsequent 10 years [hazard ratio (HR) 1.0, 95 % confidence interval (95 % CI) 0.93, 1.1]. Adjusted for cohort membership, women with incident comorbidities had a higher mortality rate than those without incident comorbidities (HR 4.8, 95 % CI 4.1, 5.6). A breast cancer history continued to be a hazard for mortality 6-15 years after diagnosis (HR 1.3, 95 % CI 1.1, 1.4). We found that older breast cancer survivors who developed comorbidities had an increased all-cause mortality rate even after adjusting for age and prevalent comorbidity burden. Additionally, survivors acquire comorbidities at a rate similar to older women free of breast cancer. These results highlight the association between comorbidity burden and long-term mortality risk among older breast cancer survivors and their need for appropriate oncology and primary care follow-up.

Factors associated with ordering laboratory monitoring of high-risk medications.

BACKGROUND: Knowledge about factors associated with provider ordering of appropriate testing is limited. OBJECTIVE: To determine physician factors associated with ordering recommended laboratory monitoring tests for high-risk medications. METHODS: Retrospective cohort study of patients prescribed a high-risk medication requiring laboratory monitoring in a large multispecialty group practice between 1 January 2008 and 31 December 2008. Analyses are based on administrative claims and electronic medical records. The outcome is a physician order for each recommended laboratory test for each prescribed medication. Key predictor variables are physician characteristics, including age, gender, specialty training, years since completing training, and prescribing volume. Additional variables are patient characteristics such as age, gender, comorbidity burden, whether the medication requiring monitoring is new or chronic, and drug-test characteristics such as inclusion in black box warnings. We used multivariable logistic regression, accounting for clustering of drugs within patients and patients within providers. RESULTS: Physician orders for laboratory testing varied across drug-test pairs and ranged from 9% (Primidone-Phenobarbital level) to 97% (Azathioprine-CBC), with half of the drug-test pairs in the 85-91% ordered range. Test ordering was associated with higher provider prescribing volume for study drugs and specialist status (primary care providers were less likely to order tests than specialists). Patients with higher comorbidity burden and older patients were more likely to have appropriate tests ordered. Drug-test combinations with black box warnings were more likely to have tests ordered. CONCLUSIONS: Interventions to improve laboratory monitoring should focus on areas with the greatest potential for improvement: providers with lower frequencies of prescribing medications with monitoring recommendations and those prescribing these medications for healthier and younger patients; patients with less interaction with the health care system are at particular risk of not having tests ordered. Black box warnings were associated with higher ordering rates and may be a tool to increase appropriate test ordering.

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.

The association between health literacy and cancer-related attitudes, behaviors, and knowledge.

Using a multidimensional assessment of health literacy (the Cancer Message Literacy Test-Listening, the Cancer Message Literacy Test-Reading, and the Lipkus Numeracy Scale), the authors assessed a stratified random sample of 1013 insured adults (40-70 years of age). The authors explored whether low health literacy across all 3 domains (n =111) was associated with sets of variables likely to affect engagement in cancer prevention and screening activities: (a) attitudes and behaviors relating to health care encounters and providers, (b) attitudes toward cancer and health, (c) knowledge of cancer screening tests, and (d) attitudes toward health related media and actual media use. Adults with low health literacy were more likely to report avoiding doctor's visits, to have more fatalistic attitudes toward cancer, to be less accurate in identifying the purpose of cancer screening tests, and more likely to avoid information about diseases they did not have. Compared with other participants, those with lower health literacy were more likely to say that they would seek information about cancer prevention or screening from a health care professional and less likely to turn to the Internet first for such information. Those with lower health literacy reported reading on fewer days and using the computer on fewer days than did other participants. The authors assessed the association of low health literacy with colorectal cancer screening in an age-appropriate subgroup for which colorectal cancer screening is recommended. In these insured subjects receiving care in integrated health care delivery systems, those with low health literacy were less likely to be up to date on screening for colorectal cancer, but the difference was not statistically significant.

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.

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.

The Association of Nursing Home Characteristics and Quality with Adverse Events After a Hospitalization.

BACKGROUND/OBJECTIVES: We previously found high rates of adverse events (AEs) for long-stay nursing home residents who return to the facility after a hospitalization. Further evidence about the association of AEs with aspects of the facilities and their quality may support quality improvement efforts directed at reducing risk. DESIGN: Prospective cohort analysis. SETTING AND PARTICIPANTS: 32 nursing homes in the New England states. A total of 555 long-stay residents contributed 762 returns from hospitalizations. METHODS: We measured the association between AEs developing in the 45 days following discharge back to long-term care and characteristics of the nursing homes including bed size, ownership, 5-star quality ratings, registered nurse and nursing assistant hours, and the individual Centers for Medicare & Medicaid Services (CMS) quality indicators. We constructed Cox proportional hazards models controlling for individual resident characteristics that were previously found associated with AEs. RESULTS: We found no association of AEs with most nursing home characteristics, including 5-star quality ratings and the composite quality score. Associations with individual quality indicators were inconsistent and frequently not monotonic. Several individual quality indicators were associated with AEs; the highest tertile of percentage of residents with depression (4%-25%) had a hazard ratio (HR) of 1.65 [95% confidence interval (CI) 1.16, 2.35] and the highest tertile of the percentage taking antipsychotic medications (18%-35%) had an HR of 1.58 (CI 1.13, 2.21). The percentage of residents needing increased assistance with activities of daily living was statistically significant but not monotonic; the middle tertile (13% to <20%) had an HR of 1.69 (CI 1.16, 2.47). CONCLUSIONS AND IMPLICATIONS: AEs occurring during transitions between nursing homes and hospitals are not explained by the characteristics of the facilities or summary quality scores. Development of risk reduction approaches requires assessment of processes and quality beyond the current quality measures.

Effect of a Multifaceted Clinical Pharmacist Intervention on Medication Safety After Hospitalization in Persons Prescribed High-risk Medications: A Randomized Clinical Trial.

Importance: The 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. Objective: To 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 Participants: This 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. Interventions: The 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 Measures: The 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. Results: There 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 Relevance: In 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 Registration: ClinicalTrials.gov Identifier: NCT02781662.

Primary care, economic barriers to health care, and use of colorectal cancer screening tests among Medicare enrollees over time.

PURPOSE: Colorectal cancer (CRC) screening remains underutilized. The objective of this study was to examine the impact of primary care and economic barriers to health care on CRC testing relative to the 2001 Medicare expansion of screening coverage. METHODS: Medicare Current Beneficiary Survey data were use to study community-dwelling enrollees aged 65 to 80 years, free of renal disease and CRC, and who participated in the survey in 2000 (n = 8,330), 2003 (n = 7,889), or 2005 (n = 7,614). Three outcomes were examined: colonoscopy/sigmoidoscopy within 5 years (recent endoscopy), endoscopy more than 5 years previously, and fecal occult blood test (FOBT) within 2 years. RESULTS: Endoscopy use increased and FOBT use decreased during the 6-year period, with no significant independent differences between those receiving care from primary care physicians and those receiving care from other physicians. Beneficiaries without a usual place of health care were the least likely to undergo CRC testing, and that gap widened with time: adjusted odds ratio (AOR) = 0.27 (95% confidence interval [CI], 0.19-0.39) for FOBT, and AOR = 0.35 (95% CI, 0.27-0.46) for endoscopy in 2000 compared with AOR = 0.18 (95% CI, 0.11-0.30) for FOBT and AOR = 0.22 (95% CI, 0.17-0.30) for endoscopy in 2005. Disparities in use of recent endoscopy by type of health insurance coverage in both 2000 and 2005 were greater for enrollees with a high school education or higher than they were for less-educated enrollees. There were no statistically significant differences by delayed care due to cost after adjustment for health insurance. CONCLUSION: Despite expanding coverage for screening, complex CRC screening disparities persisted based on differences in the usual place and cost of health care, type of health insurance coverage, and level of education.

Recruitment Challenges for Low-Risk Health System Intervention Trials in Older Adults: A Case Study.

OBJECTIVE: To assess factors associated with trial participation in the context of a low-risk intervention intended to reduce adverse drug events in recently hospitalized older adults. DESIGN: Mixed methods: analysis of data collected during enrollment efforts and focus groups. SETTING: A large, multispecialty group practice. PARTICIPANTS: Individuals 50 years and older, recently discharged from the hospital and prescribed at least one high-risk medication, were eligible for the trial. Enrollees, decliners, and their caregivers were eligible to participate in focus groups. MEASUREMENTS: Reasons for declining to participate during the initial invitation as well as reasons for not providing consent were recorded. Focus groups were conducted with eligible individuals to explore reasons for enrolling or declining. We conducted multivariable logistic regression to compare characteristics (including sex, age, healthcare proxy, number and type of medications, visiting nurse services, reason for admission, and length of hospital stay) of those who enrolled with those who did not enroll. RESULTS: Of 3,606 individuals determined eligible, 3,147 (87%) declined, 98 (3%) verbally consented to participate but did not complete written consent, and 361 (10%) provided written consent and were considered enrolled. Individuals 80 year and older (odds ratio (OR) = 0.44; 95% confidence interval (CI) = 0.30-0.65) and those with visiting nurse services (OR = 0.64; 95% CI = 0.48-0.85) were least likely to enroll. Among those who provided a reason for declining (2,473), the most common was the belief they did not need additional medication assistance (18%). Another 332 (11%) declined because they were receiving visiting nurse services. CONCLUSION: Recruiting older adults recently discharged from the hospital to participate in trials of low-risk, system-level interventions is challenging and may underenroll the oldest individuals and those potentially at the highest risk for adverse events, limiting generalizability of study findings. Alternative study designs may be more effective than individually randomized trials in assessing low-risk, system-level interventions.

Computerized clinical decision support during medication ordering for long-term care residents with renal insufficiency.

UNLABELLED: OBJECTIVE To determine whether a computerized clinical decision support system providing patient-specific recommendations in real-time improves the quality of prescribing for long-term care residents with renal insufficiency. DESIGN Randomized trial within the long-stay units of a large long-term care facility. Randomization was within blocks by unit type. Alerts related to medication prescribing for residents with renal insufficiency were displayed to prescribers in the intervention units and hidden but tracked in control units. Measurement The proportions of final drug orders that were appropriate were compared between intervention and control units within alert categories: (1) recommended medication doses; (2) recommended administration frequencies; (3) recommendations to avoid the drug; (4) warnings of missing information. RESULTS The rates of alerts were nearly equal in the intervention and control units: 2.5 per 1,000 resident days in the intervention units and 2.4 in the control units. The proportions of dose alerts for which the final drug orders were appropriate were similar between the intervention and control units (relative risk 0.95, 95% confidence interval 0.83, 1.1) for the remaining alert categories significantly higher proportions of final drug orders were appropriate in the intervention units: relative risk 2.4 for maximum frequency (1.4, 4.4); 2.6 for drugs that should be avoided (1.4, 5.0); and 1.8 for alerts to acquire missing information (1.1, 3.4). Overall, final drug orders were appropriate significantly more often in the intervention units-relative risk 1.2 (1.0, 1.4). CONCLUSIONS Clinical decision support for physicians prescribing medications for long-term care residents with renal insufficiency can improve the quality of prescribing decisions. TRIAL REGISTRATION: http://clinicaltrials.gov Identifier: NCT00599209.

Pay-for-performance in nursing homes.

Information on the impact of pay-for-performance programs is lacking in the nursing home setting. This literature review (1980-2007) identified 13 prior examples of pay-for-performance programs in the nursing home setting: 7 programs were active as of 2007, while 6 had been terminated. The programs were mostly short-lived, varied considerably in the choice of performance measures and pay incentives, and evaluations of the impact were rare.

Use of Electronic Health Record Access and Audit Logs to Identify Physician Actions Following Noninterruptive Alert Opening: Descriptive Study.

BACKGROUND: Electronic health record (EHR) access and audit logs record behaviors of providers as they navigate the EHR. These data can be used to better understand provider responses to EHR-based clinical decision support (CDS), shedding light on whether and why CDS is effective. OBJECTIVE: This study aimed to determine the feasibility of using EHR access and audit logs to track primary care physicians' (PCPs') opening of and response to noninterruptive alerts delivered to EHR InBaskets. METHODS: We conducted a descriptive study to assess the use of EHR log data to track provider behavior. We analyzed data recorded following opening of 799 noninterruptive alerts sent to 75 PCPs' InBaskets through a prior randomized controlled trial. Three types of alerts highlighted new medication concerns for older patients' posthospital discharge: information only (n=593), medication recommendations (n=37), and test recommendations (n=169). We sought log data to identify the person opening the alert and the timing and type of PCPs' follow-up EHR actions (immediate vs by the end of the following day). We performed multivariate analyses examining associations between alert type, patient characteristics, provider characteristics, and contextual factors and likelihood of immediate or subsequent PCP action (general, medication-specific, or laboratory-specific actions). We describe challenges and strategies for log data use. RESULTS: We successfully identified the required data in EHR access and audit logs. More than three-quarters of alerts (78.5%, 627/799) were opened by the PCP to whom they were directed, allowing us to assess immediate PCP action; of these, 208 alerts were followed by immediate action. Expanding on our analyses to include alerts opened by staff or covering physicians, we found that an additional 330 of the 799 alerts demonstrated PCP action by the end of the following day. The remaining 261 alerts showed no PCP action. Compared to information-only alerts, the odds ratio (OR) of immediate action was 4.03 (95% CI 1.67-9.72) for medication-recommendation and 2.14 (95% CI 1.38-3.32) for test-recommendation alerts. Compared to information-only alerts, ORs of medication-specific action by end of the following day were significantly greater for medication recommendations (5.59; 95% CI 2.42-12.94) and test recommendations (1.71; 95% CI 1.09-2.68). We found a similar pattern for OR of laboratory-specific action. We encountered 2 main challenges: (1) Capturing a historical snapshot of EHR status (number of InBasket messages at time of alert delivery) required incorporation of data generated many months prior with longitudinal follow-up. (2) Accurately interpreting data elements required iterative work by a physician/data manager team taking action within the EHR and then examining audit logs to identify corresponding documentation. CONCLUSIONS: EHR log data could inform future efforts and provide valuable information during development and refinement of CDS interventions. To address challenges, use of these data should be planned before implementing an EHR-based study.