Spaulding, Aaron

AbstractRational, aims, and objectivesUnderstanding of barriers and successes associated with the implementation of electronic patient self‐reported measures (ePSRMs) within clinical settings are limited and have not been pursued utilizing implementation science frameworks. This qualitative study is designed to assess staff perceptions of an ePSRM implementation.MethodsThe study took place in an academic hospital's Consultation Liaison Psychiatry practice. Qualitative interviews were conducted with the staff and clinicians from the practice. Participants were directly involved with the implementation and use of the ePSRM system within the Psychiatry practice. Interviews were structured around the Reach, Effectiveness, Adoption, Implementation, Maintenance (RE‐AIM) framework.ResultsParticipants reported increased patient engagement as well as efficiency and time savings. The intervention was perceived to be more challenging for older patients. Facilitators include communicating the ePSRM to patients prior to the care visit, having enough trained staff or super‐users who can assist with technical problems, and having a shorter questionnaire.ConclusionsOverall, assessment of the ePSRM implementation was positive. Staff and clinicians indicated benefits in time, effectiveness, and improvements in patient treatment. Results indicate that defining how the system would fit within the clinical workflow was key, as was a flexible and user‐friendly technology platform. The ePSRM implementation was dependent upon clinical involvement and interest in adoption, while barriers were associated with technical challenges as well as some patient difficulties, such as cognitive impairment. The use of the RE‐AIM framework is valuable as it allows for systematic assessment of the implementation and identifies areas in that implementation has succeeded or is lacking.

145 Background: Palliative radiation treatment (pRT) is used for symptomatic bone metastases (mets). Several fractionation schedules show equal efficacy for pain relief, and ASTRO’s Choosing Wisely recommends 8Gy x1, 4Gy x5, or 3Gy x10. This study aims to investigate the cost implications of pRT for bone mets. Methods: Patients (Pts) treated with pRT for bone mets at Mayo Clinic from 2007 - 2016 were included in this study. Costs for all services were subdivided into RT and total costs at 30 & 90 days (30D & 90D). Standardized costs were obtained from the Mayo Clinic Cost Data Warehouse and Medicare reimbursements were assigned to all services with cost to charge adjustments and 2017 GDP Implicit Price Deflator for inflation. Cost means were compared via the Kruskal-Wallis test. Results: 538 pts were treated with pRT, 124 receiving 8Gy x1, 204 receiving 4Gy x5, and 210 receiving 3Gy x10. Pts with breast and prostate cancer were most likely to be treated with 3Gy x10 and pts with GI and lung cancer were most likely to be treated with 8Gy x1. RT costs at 30D were $1,497, $1,891, and $1,982 (p=0.03) and RT costs at 90D were $2,602, $2,753, and $3,032 (p=0.08) for initial RT regimens of 8Gy x1, 4Gy x5, and 3Gy x10. Total costs of care at 30D were similar from $15,969 - 17,687 (p=0.6) and total costs at 90D were similar from $22,361 - 23,219 (p=0.7) between arms. A total of 23%, 28%, and 39% of pts were alive 2 years following pRT from each arm (p=0.07). Conclusions: This is the first study of its kind to analyze actual treatment costs for the three most common pRT regimens in bone mets. Single fraction RT was most used for pts with poor prognoses and was associated with lower RT costs at 30D, but similar RT costs at 90D, possibly due to retreatment. RT choice had no impact on overall costs of care at 30D or 90D. pRT remains of high value, representing only 11-13% of total costs.[Table: see text]

126 Background: Palliative radiation treatment (pRT) is a common and effective treatment for patients with symptomatic bone metastases. However, patients receiving RT for bone metastases often may have a poor performance status and are more likely to experience toxicity during or after treatment. This study aims to investigate the number and type of toxicity event occurring during or after pRT for bone metastases. Methods: Patients treated with RT for bone metastases at Mayo Clinic from 2007 to 2016 were included in this study. Demographic, disease, treatment, and toxicity information were collected. Specifically, toxicity events were identified as emergency department (ED) visits and inpatient hospitalization (IH) within 90 days, breaks in treatment >4 days, and excessive 30 day financial toxicity defined as standardized Medicare costs >1 standard deviation above the mean. RT treatment was compared by dose and fractionation via descriptive statistics. Results: A total of 538 patients treated with pRT were identified, 124 receiving 8Gy x1, 204 receiving 4Gy x5, and 210 receiving 3Gy x10. Patients with breast and prostate cancer were most likely to be treated with 3Gy x10 and patients with GI and Lung cancer were most likely to be treated with 8Gy x1. A description of the patient characteristics and toxicities are shown in Table 1. For 8Gy x1, 4Gy x5, and 3Gy x10 breaks in treatment were rare (0%, 2%, and 3.3%), ED visits (15%, 24%, & 28%), IH (12%, 23%, & 19%), and financial toxicity (13%, 18%, & 21%) were common. A total of 22.6%, 27.5%, and 38.6% of patients were alive two years following pRT from each group. Conclusions: Toxicity during or shortly after pRT of bone metastases is common. This study confirms that additional steps should be taken to monitor and mitigate toxicity in this vulnerable patient group. [Table: see text]

SummaryThe shift from a fee‐for‐service payment to a value‐based payment scheme, sparked by the Patient Protection and Affordable Care Act, introduced pay‐for‐performance programs such Hospital Value Based Purchasing. Previous inquiry has not considered how local community factors may affect hospital system performance. This study investigated the association between local health performance and minority population in a hospital referral region (HRR). The primary objective was to ascertain whether community diversity levels are significantly associated to local health performance guided by the ecological model. Secondary data analysis collected from the 2016 American Hospital Association, Area Health Resource File, Commonwealth Fund Scorecard on Local Health System Performance, and the Dartmouth Atlas HRR dataset was used. Our primary findings show that the more diverse a HRR is, the more likely it is to be associated with lower ranking for access and affordability prevention and treatment avoidable hospital use and cost as well as healthy lives. Total performance score was significantly related to a better health ranking on prevention and treatment, hospital use, and cost, as well as healthy lives. This research supports the assertion that communities, particularly minorities in those communities, affect local health care performance in a variety of ways.

Background: Palliative care has been increasingly recognized as an important part of cancer care but remains underutilized in patients with solid cancers. There is a current gap in knowledge regarding why palliative care is underutilized nationwide. Objective: To identify the factors associated with palliative care use among deceased patients with solid cancer tumors. Methods: Using the 2016 National Cancer Data Base, we identified deceased patients (2004-2013) with breast, colon, lung, melanoma, and prostate cancer. Data were described as percentages. Associations between palliative care use and patient, facility, and geographic characteristics were evaluated through multivariate logistic regression. Results: A total of 1 840 111 patients were analyzed; 9.6% received palliative care. Palliative care use was higher in the following patient groups: survival >24 months (17% vs 2%), male (54% vs 46%), higher Charlson-Deyo comorbidity score (16% vs 8%), treatment at designated cancer programs (74% vs 71%), lung cancer (76% vs 28%), higher grade cancer (53% vs 24%), and stage IV cancer (59% vs 13%). Patients who lived in communities with a greater percentage of high school degrees had higher odds of receiving palliative care; Central and Pacific regions of the United States had lower odds of palliative care use than the East Coast. Patients with colon, melanoma, or prostate cancer had lower odds of palliative care than patients with breast cancer, whereas those with lung cancer had higher odds. Conclusions: Palliative care use in solid cancer tumors is variable, with a preference for patients with lung cancer, younger age, known insurance status, and higher educational level.

Under the Hospital-Acquired Condition Reduction Program (HACRP), introduced by the Affordable Care Act, the Centers for Medicare and Medicaid must reduce reimbursement by 1% for hospitals that rank among the lowest performing quartile in regard to hospital-acquired conditions (HACs). This study seeks to determine whether Accredited Cancer Program (ACP) hospitals (as defined by the American College of Surgeons) score differently on the HACRP metrics than nonaccredited cancer program hospitals. This study uses data from the 2014 American Hospital Association Annual Survey database, the 2014 Area Health Resource File, the 2014 Medicare Final Rule Standardizing File, and the FY2017 HACRP database (Medicare Hospital Compare Database). The association between ACPs, HACs, and market characteristics is assessed through multinomial logistic regression analysis. Odds ratios and 95% confidence intervals are reported. Accredited cancer hospitals have a greater risk of scoring in the Worse outcome category of HAC scores, vs Middle or Better outcomes, compared with nonaccredited cancer hospitals. Despite this, they do not have greater odds of incurring a payment reduction under the HACRP measurement system. While ACP hospitals can likely improve scores, questions concerning the consistency of the message between ACP hospital quality and HACRP quality need further evaluation to determine potential gaps or issues in the structure or measurement. ACP hospitals should seek to improve scores on domain 2 measures. Although ACP hospitals do likely see more complex patients, additional efforts to reduce surgical site infections and related HACs should be evaluated and incorporated into required quality improvement efforts. From a policy perspective, policy makers should carefully evaluate the measures utilized in the HACPR.

Key PointsCoexisting psychiatric comorbidities are associated with greater increased health care utilization and cost of care in patients with MM. Clinical complications of MM are seen more frequently in patients with coexisting psychiatric conditions.

Purpose The purpose of this paper is to assess the community dynamics and organizational characteristics of US hospitals that participate in accountable care organizations (ACO). Design/methodology/approach Data were obtained from the 2015 American Hospital Association annual survey and the 2015 medicare final rule standardizing file. The study evaluated 785 hospitals which operate ACO in contrast to 1,446 hospitals without an ACO. Findings In total, 89 percent of hospitals using ACO’s are located in urban communities and 87 percent are not-for-profit. Hospitals with a higher case mix index are more likely to have an ACO. Practical implications ACOs allow healthcare organizations to expand their geographic markets, achieve greater efficiencies, and enhance the development of new clinical services. They also shift the focus of care from acute care hospitalization to the full continuum of care. Originality/value This research found ACOs with hospital and physician networks are an effective mechanism to control healthcare costs and reduce medical errors.