Rhode Island's investment in primary care transformation: A case study

INTRODUCTION

Rhode Island has received national recognition as a leader in statewide, multipayer, multistakeholder initiatives that focus on investments in primary care as a strategy to build a strong delivery system foundation that delivers high-quality, affordable health care.

METHOD

For this case study we summarize key structural, process and outcomes factors and lessons learned from internal and external evaluations and project based and stakeholder-engaged quality improvement efforts that helped Rhode Island become the most improved U.S. health system over the past 5 years.

RESULTS

Rhode Island's Office of the Insurance Commissioner through a collaborative process contractually established per-member, per-month payments to practices that engaged in the statewide transformation program to the patient-centered medical home model of care and paid incentives for achieving quality, patient experience, and hospital utilization targets.

DISCUSSION

Critical lessons learned include the importance of engaging stakeholders in systems change, measuring and monitoring primary care spending, and continuous learning and best-practice sharing. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The Quality of Nursing Homes That Serve Patients With Human Immunodeficiency Virus

BACKGROUND/OBJECTIVES

As the national population of persons living with human immunodeficiency virus (HIV) ages, they will require greater postacute and long-term care use. Little is known about the quality of nursing homes (NHs) to which patients with HIV are admitted. In this study, we assess the association between the number of persons with HIV admitted annually to a given NH (HIV concentration) and that NH's quality outcomes.

DESIGN

A cross-sectional comparative study.

SETTING

NHs in nine states, from 2001 to 2012.

PARTICIPANTS

A total of 46 918 NH-years accounting for 67 301 admissions by patients with HIV.

MEASUREMENTS

We used 100% Medicaid Analytic Extract, Minimum Dataset 2.0 and 3.0, and Medicare claims from 2001 to 2012 from nine states to examine the association between HIV concentration and NH quality. Persons were classified as HIV positive on the basis of all available data sources, and a NH's percentage of new admissions with HIV was calculated (HIV concentration). We then compared differences in star ratings, rehospitalization rates, NH survey deficiencies, and restraint use by a NH's percentage of admissions with HIV, using linear random effects models.

RESULTS

After adjusting for NH characteristics, zip code characteristics, and state and year fixed effects, NHs with greater than 0% to 5% of admissions with HIV had a 0.6 lower star rating (P < .001), and a 0.4% percentage point higher 30-day rehospitalization rate (P < .01), compared to those with no HIV admissions. NHs with 5% to 50% of admissions with HIV had 7.0 more deficiencies (P < .001), a 0.1 lower star rating (P < .001), and a 1.5 percentage point higher rehospitalization rate (P < .001).

CONCLUSION

Persons with HIV were generally admitted to lower-quality NHs compared to persons without HIV. More efforts are needed to ensure that persons with HIV have access to high-quality NHs. J Am Geriatr Soc 67:2615-2621, 2019.

Benchmarking Cancer Centers: From Care Pathways to Integrated Practice Units

Background: Structuring cancer care into pathways can reduce variability in clinical practice and improve patient outcomes. International benchmarking can help centers with regard to development, implementation, and evaluation. A further step in the development of multidisciplinary care is to organize care in integrated practice units (IPUs), encompassing the whole pathway and relevant organizational aspects. However, research on this topic is limited. This article describes the development and results of a benchmark tool for cancer care pathways and explores IPU development in cancer centers. Methods: The benchmark tool was developed according to a 13-step benchmarking method and piloted in 7 European cancer centers. Centers provided data and site visits were performed to understand the context in which the cancer center operates and to clarify additional questions. Benchmark data were structured into pathway development and evaluation and assessed against key IPU features. Results: Benchmark results showed that most centers have formalized multidisciplinary pathways and that care teams differed in composition, and found almost 2-fold differences in mammography use efficiency. Suggestions for improvement included positioning pathways formally and structurally evaluating outcomes at a sufficiently high frequency. Based on the benchmark, 3 centers indicating that they had a breast cancer IPU were scored differently on implementation. Overall, we found that centers in Europe are in various stages of development of pathways and IPUs, ranging from an informal pathway structure to a full IPU-type of organization. Conclusions: A benchmark tool for care pathways was successfully developed and tested, and is available in an open format. Our tool allows for the assessment of pathway organization and can be used to assess the status of IPU development. Opportunities for improvement were identified regarding the organization of care pathways and the development toward IPUs. Three centers are in varying degrees of implementation and can be characterized as breast cancer IPUs. Organizing cancer care in an IPU could yield multiple performance improvements.

Variation in Integrated Head and Neck Cancer Care: Impact of Patient and Hospital Characteristics

Background: Monitoring and effectively improving oncologic integrated care requires dashboard information based on quality registrations. The dashboard includes evidence-based quality indicators (QIs) that measure quality of care. This study aimed to assess the quality of current integrated head and neck cancer care with QIs, the variation between Dutch hospitals, and the influence of patient and hospital characteristics. Methods: Previously, 39 QIs were developed with input from medical specialists, allied health professionals, and patients' perspectives. QI scores were calculated with data from 1,667 curatively treated patients in 8 hospitals. QIs with a sample size of >400 patients were included to calculate reliable QI scores. We used multilevel analysis to explain the variation. Results: Current care varied from 29% for the QI about a case manager being present to discuss the treatment plan to 100% for the QI about the availability of a treatment plan. Variation between hospitals was small for the QI about patients discussed in multidisciplinary team meetings (adherence: 95%, range 88%-98%), but large for the QI about malnutrition screening (adherence: 50%, range 2%-100%). Higher QI scores were associated with lower performance status, advanced tumor stage, and tumor in the oral cavity or oropharynx at the patient level, and with more curatively treated patients (volume) at hospital level. Conclusions: Although the quality registration was only recently launched, it already visualizes hospital variation in current care. Four determinants were found to be influential: tumor stage, performance status, tumor site, and volume. More data are needed to assure stable results for use in quality improvement.

Variation in responsiveness to warranted behaviour change among NHS clinicians: novel implementation of change detection methods in longitudinal prescribing data

OBJECTIVES

To determine how clinicians vary in their response to new guidance on existing or new interventions, by measuring the timing and magnitude of change at healthcare institutions.

DESIGN

Automated change detection in longitudinal prescribing data.

SETTING

Prescribing data in English primary care.

PARTICIPANTS

English general practices.

MAIN OUTCOME MEASURES

In each practice the following were measured: the timing of the largest changes, steepness of the change slope (change in proportion per month), and magnitude of the change for two example time series (expiry of the Cerazette patent in 2012, leading to cheaper generic desogestrel alternatives becoming available; and a change in antibiotic prescribing guidelines after 2014, favouring nitrofurantoin over trimethoprim for uncomplicated urinary tract infection (UTI)).

RESULTS

Substantial heterogeneity was found between institutions in both timing and steepness of change. The range of time delay before a change was implemented was large (interquartile range 2-14 months (median 8) for Cerazette, and 5-29 months (18) for UTI). Substantial heterogeneity was also seen in slope following a detected change (interquartile range 2-28% absolute reduction per month (median 9%) for Cerazette, and 1-8% (2%) for UTI). When changes were implemented, the magnitude of change showed substantially less heterogeneity (interquartile range 44-85% (median 66%) for Cerazette and 28-47% (38%) for UTI).

CONCLUSIONS

Substantial variation was observed in the speed with which individual NHS general practices responded to warranted changes in clinical practice. Changes in prescribing behaviour were detected automatically and robustly. Detection of structural breaks using indicator saturation methods opens up new opportunities to improve patient care through audit and feedback by moving away from cross sectional analyses, and automatically identifying institutions that respond rapidly, or slowly, to warranted changes in clinical practice.

Navigating the Wild West of Medication Adherence Reporting in Specialty Pharmacy

Estimating medication adherence through the use of pharmacy claims-based adherence calculations such as medication possession ratio (MPR) and proportion of days covered (PDC) plays a significant role in specialty pharmacy practice. Although MPR and PDC are frequently used in clinical practice, calculation methodologies vary, making meaningful comparisons of adherence rates difficult. In addition, MPR and PDC are increasingly used by insurance companies, pharmacies, accrediting bodies, and drug manufacturers to demonstrate quality differences or clinical benefit across the specialty pharmacy industry. Therefore, recognizing the source and effect of calculation variability is necessary to fully understand reported adherence results. This article highlights the challenges in standardizing adherence methodologies, minimum methodology considerations that should be reported with MPR and PDC results, and key elements to consider when interpreting and applying adherence results. Further, recommendations are provided to promote a more consistent description of calculation methods and to aid pharmacies in adherence measure analysis, interpretation, and application to practice, with a focus on specialty pharmacy programs. A detailed description of methodology as outlined in this article must be provided to ensure reproducibility, external validation, and scientific rigor. In the absence of standardization, specialty pharmacies should be prudent in their use of adherence calculations as a clinical benchmarking tool or comparative quality indicator with outside organizations. Furthermore, specialty pharmacies should consider using current adherence measure calculations to identify and provide targeted interventions to patients with potential adherence problems and strive to better demonstrate ties between adherence measures and direct clinical and cost outcomes. DISCLOSURES: No outside funding supported the writing of this article. Anguiano is a speaker and research consultant for United Therapeutics. The other authors have nothing to disclose.

Discharge care quality in hospitalised elderly patients: Extended validation of the Discharge Care Experiences Survey

Background

The Discharge Care Experiences Survey (DICARES) was previously developed to measure quality of discharge care in elderly patients (≥ 65 years). The objective of this study was to test the factorial validity of responses of the DICARES, and to investigate its association with existing quality indicators.

Methods

We conducted a cross-sectional study at two hospitals in Bergen, Western Norway. A survey, including DICARES, was sent by postal mail to 1,418 patients 30 days after discharge from hospital. To test the previously identified three-factor structure of the DICARES we applied a first order confirmatory factor analysis with corresponding fit indices and reliability measures. Spearman’s correlation coefficients, and linear regression, was used to investigate the association of DICARES scores with the quality indicators Nordic Patient Experiences Questionnaire and emergency readmission within 30 days.

Results

A total of 493 (35%) patients completed the survey. The mean age of the respondents was 79 years (SD = 8) and 52% were women. The confirmatory factor analysis showed acceptable fit. Cronbach’s α between items within factors was 0.82 (Coping after discharge), 0.71 (Adherence to treatment), and 0.66 (Participation in discharge planning). DICARES was moderately correlated with the Nordic Patient Experiences Questionnaire (rho = 0.49, P < 0.001). DICARES overall score was higher in patients with no readmissions compared to those who were emergency readmitted within 30 days (P < 0.001), indicating that more positive experiences were associated with fewer readmissions.

Conclusions

DICARES appears to be a feasible instrument for measuring quality of discharge care in elderly patients (≥ 65 years). This brief questionnaire seems to be sensitive with regard to readmission, and independent of comorbidity. Further studies of patients’ experiences are warranted to identify elements that impact on discharge care in other patient groups.

Pharmaceutical companies information and antibiotic prescription patterns: A follow-up study in Spanish primary care

Objectives

To assess the impact of sources of drug information on antibiotic prescribing patterns (quantity and quality) among primary care physicians.

Methods

We conducted a cohort study on primary care physicians who were actively engaged in medical practice in 2010 in a region in north-west Spain (Galicia), fulfilling inclusion criteria (n = 2100). As the independent variable, we took the perceived utility of 6 sources of information on antibiotics, as measured by the validated KAAR-11 questionnaire. As dependent variables, we used: (1) a quality indicator (appropriate quality, defined as any case where 6 of the 12 indicators proposed by the European Surveillance of Antimicrobial Consumption Network [ESAC-Net] were better than the mean values for Spain); and, (2) a quantity indicator (high prescribing), defined as any case where defined daily doses (DDD) per 1 000 inhabitants per day of antibacterials for systemic use were higher than the mean values for Spain. The adjusted odds ratio for a change in the interquartile range (IqOR) for each sources of information on antibiotics was calculated using Generalized Linear Mixed Models.

Results

The questionnaire response rate was 68%. Greater perceived utility of pharmaceutical sales representatives increases the risk of having high prescribing (1/IqOR = 2.50 [95%CI: 1.63–3.66]) and reduces the probability of having appropriate quality (1/IqOR = 2.28 [95%CI: 1.77–3.01]). Greater perceived utility of clinical guidelines increases the probability of having appropriate quality (1/IqOR = 1.25 [95%CI: 1.02–1.54]) and reduces the probability of high prescribing (1/IqOR = 1.25 [95%CI: 1.02–1.54]).

Conclusions

Sources of information on antibiotics are an important determinant of the quantity and quality of antibiotic prescribing in primary care. Commercial sources of information influence prescribing negatively, and clinical guidelines are associated with better indicators.

Primary Care Practices' Ability to Report Electronic Clinical Quality Measures in the EvidenceNOW Southwest Initiative to Improve Heart Health

IMPORTANCE

The capability and capacity of primary care practices to report electronic clinical quality measures (eCQMs) are questionable.

OBJECTIVE

To determine how quickly primary care practices can report eCQMs and the practice characteristics associated with faster reporting.

DESIGN, SETTING, AND PARTICIPANTS

This quality improvement study examined an initiative (EvidenceNOW Southwest) to enhance primary care practices' ability to adopt evidence-based cardiovascular care approaches: aspirin prescribing, blood pressure control, cholesterol management, and smoking cessation (ABCS). A total of 211 primary care practices in Colorado and New Mexico participating in EvidenceNOW Southwest between February 2015 and December 2017 were included.

INTERVENTIONS

Practices were instructed on eCQM specifications that could be produced by an electronic health record, a registry, or a third-party platform. Practices received 9 months of support from a practice facilitator, a clinical health information technology advisor, and the research team. Practices were instructed to report their baseline ABCS eCQMs as soon as possible.

MAIN OUTCOMES AND MEASURES

The main outcome was time to report the ABCS eCQMs. Cox proportional hazards models were used to examine practice characteristics associated with time to reporting.

RESULTS

Practices were predominantly clinician owned (48%) and in urban or suburban areas (71%). Practices required a median (interquartile range) of 8.2 (4.6-11.9) months to report any ABCS eCQM. Time to report differed by eCQM: practices reported blood pressure management the fastest (median [interquartile range], 7.8 [3.5-10.4] months) and cholesterol management the slowest (median [interquartile range], 10.5 [6.6 to >12] months) (log-rank P < .001). In multivariable models, the blood pressure eCQM was reported more quickly by practices that participated in accountable care organizations (hazard ratio [HR], 1.88; 95% CI, 1.40-2.53; P < .001) or participated in a quality demonstration program (HR, 1.58; 95% CI, 1.14-2.18; P = .006). The cholesterol eCQM was reported more quickly by practices that used clinical guidelines for cardiovascular disease management (HR, 1.35; 95% CI, 1.18-1.53; P < .001). Compared with Federally Qualified Health Centers, hospital-owned practices had greater ability to report blood pressure eCQMs (HR, 2.66; 95% CI, 95% CI, 1.73-4.09; P < .001), and clinician-owned practices had less ability to report cholesterol eCQMs (HR, 0.52; 95% CI, 0.35-0.76; P < .001).

CONCLUSIONS AND RELEVANCE

In this study, time to report eCQMs varied by measure and practice type, with very few practices reporting quickly. Practices took longer to report a new cholesterol measure than other measures. Programs that require eCQM reporting should consider the time and effort practices must exert to produce reports. Practices may benefit from additional support to succeed in new programs that require eCQM reporting.

Are service and patient indicators different in the presence or absence of nurse practitioners? The EDPRAC cohort study of Australian emergency departments

OBJECTIVES

To evaluate the impact of nurse practitioner (NP) service in Australian public hospital emergency departments (EDs) on service and patient safety and quality indicators.

DESIGN AND SETTING

Cohort study comprising ED presentations (July 2013-June 2014) for a random sample of hospitals, stratified by state/territory and metropolitan versus non-metropolitan location; and a retrospective medical record audit of ED re-presentations.

METHODS

Service indicator data (patient waiting times for Australasian Triage Scale categories 2, 3, 4 and 5; number of patients who did not-wait; length of ED stay for non-admitted patients) were compared between EDs with and without NPs using logistic regression and Cox proportional hazards regression, adjusting for hospital and patient characteristics and correlation of outcomes within hospitals. Safety and quality indicator data (rates of ED unplanned re-presentations) for a random subset of re-presentations were compared using Poisson regression.

RESULTS

Of 66 EDs, 55 (83%) provided service indicator data on 2 463 543 ED patient episodes while 58 (88%) provided safety and quality indicator data on 2853 ED re-presentations. EDs with NPs had significantly (p<0.001) higher rates of waiting times compared with EDs without NPs. Patients presenting to EDs with NPs spent 13 min (8%) longer in ED compared with EDs without NPs (median, (first quartile-third quartile): 156 (93-233) and 143 (84-217) for EDs with and without NPs, respectively). EDs with NPs had 1.8% more patients who did not wait, but similar re-presentations rates as EDs with NPs.

CONCLUSIONS

EDs with NPs had statistically significantly lower performance for service indicators. However, these findings should be treated with caution. NPs are relatively new in the ED workforce and low NP numbers, staffing patterns and still-evolving roles may limit their impact on service indicators. Further research is needed to explain the dichotomy between the benefits of NPs demonstrated in individual clinical outcomes research and these macro system-wide observations.

Postoperative complications in gastrointestinal surgery: A “hidden” basic quality indicator

Postoperative complications represent a basic quality indicator for measuring outcomes at surgical units. At present, however, they are not systematically measured in all surgical procedures. A more accurate assessment of their impact could help to evaluate the real morbidity associated with different surgical interventions, establish measures for improvement, increase efficiency and identify benchmarking services. The Clavien-Dindo Classification is the most widely used system worldwide for assessing postoperative complications. However, the postoperative period is summarized by the most serious complication without taking into account others of lesser magnitude. Recently, two new scoring systems have emerged, the Comprehensive Complication Index and the Complication Severity Score, which include all postoperative complications and quantify them from 0 (no complications) to 100 (patient’s death), These allow the comparison of results. It is important to train surgical staff to report and classify complications and to record 90-d morbidity rates in all patients. Comparisons with other services must take into account patient comorbidities and the complexity of the particular surgical procedure. To avoid subjectivity and bias, external audits are necessary. In addition, ensuring transparency in the reporting of the results is an urgent obligation.

The association between quality measures of medical university press releases and their corresponding news stories-Important information missing

BACKGROUND

The news media is a key source for health and medical information, and relies to a large degree on material from press releases (PR). Medical universities are key players in the dissemination of PRs. This study aims to 1) explore the relation between the quality of press releases (PRs) from medical universities and their corresponding news stories (NSs) and 2) to identify the likelihood that specific scientific and interest-raising measures appear or are omitted in PRs and NSs.

METHODS AND FINDINGS

In this retrospective study using quantitative content analysis, PRs (n = 507) from 21 medical universities in Germany, the Netherlands, Sweden, the USA and the UK were retrieved. Of all PRs, 33% had media coverage, resulting in 496 NSs. With two codebooks, 18 scientific (e.g. reporting the study design of the study correctly) and 7 interest-raising measures (e.g. words like 'ground-breaking') were evaluated in the PRs and NSs. For all measures the percentage of presence in NSs and PRs was calculated, together with a Mean PR Influence Factor. Quality of PRs and NSs was defined as a score, based on 12 of the 18 scientific measures. Mean (SD) NS quality score was 6.5 (1.7) which was significantly lower than the PR score of 8.0 (1.5). The two quality scores were significantly correlated. Quality measures that were frequently omitted included reporting important study limitations (present in 21% of PRs, 21% of NSs), funding (59% of PRs, 7% of NSs) and conflicts of interest (16% of PRs, 3% of NSs). We did not evaluate the quality of the scientific papers (SPs), and can therefore not determine if the quality of PRs and NSs is associated with the quality of SPs.

CONCLUSIONS

This large study of medical university press releases and corresponding news stories showed that important measures of a scientific study such as funding and study limitations were omitted to a very large extent. The lay public and health personnel as well as policy makers, politicians and other decision makers may be misled by incomplete and partly inaccurate representations of scientific studies which could negatively affect important health-related behaviours and decisions.

Primary care performance of alternatively licenced physicians in Ontario, Canada: a cross-sectional study using administrative data

OBJECTIVES

Medical Regulatory Authorities (MRAs) provide licences to physicians and monitor those physicians once in practice to support their continued competence. In response to physician shortages, many Canadian MRAs developed alternative licensure routes to allow physicians who do not meet traditional licensure criteria to obtain licences to practice. Many physicians have gained licensure through alternative routes, but the performance of these physicians in practice has not been previously examined. This study compared the performance of traditionally and alternatively licenced physicians in Ontario using quality indicators of primary care. The purpose of this study was to examine the practice performance of alternatively licenced physicians and provide evaluative evidence for alternative licensure policies.

DESIGN

A cross-sectional retrospective examination of Ontario health administrative data was conducted using Poisson regression analyses to compare the performance of traditionally and alternatively licenced physicians.

SETTING

Primary care in Ontario, Canada.

PARTICIPANTS

All family physicians who were licenced in Ontario between 2000 and 2012 and who had complete medical billing data in 2014 were included (n=11 419).

OUTCOME MEASURES

Primary care quality indicators were calculated for chronic disease management, preventive paediatric care, cancer screening and hospital readmission rates using Ontario health administrative data.

RESULTS

Alternatively licenced physicians performed similarly to traditionally licenced physicians in many primary care performance measures. Minimal differences were seen across groups in indicators of diabetic care, congestive heart failure care, asthma care and cancer screening rates. Larger differences were found in preventive care for children less than 2 years of age, particularly for alternatively licenced physicians who entered Ontario from another Canadian province.

CONCLUSIONS

Our findings demonstrate that alternatively licenced physicians perform similarly to traditionally licenced physicians across many indicators of primary care. Our study also demonstrates the utility of administrative data for examining physician performance and evaluating medical regulatory policies and programmes.

Examining the weekend effect across ICU performance metrics

BACKGROUND

Known colloquially as the "weekend effect," the association between weekend admissions and increased mortality within hospital settings has become a highly contested topic over the last two decades. Drawing interest from practitioners and researchers alike, a sundry of works have emerged arguing for and against the presence of the effect across various patient cohorts. However, it has become evident that simply studying population characteristics is insufficient for understanding how the effect manifests. Rather, to truly understand the effect, investigations into its underlying factors must be considered. As such, the work presented in this manuscript serves to address this consideration by moving beyond identification of patient cohorts to examining the role of ICU performance.

METHODS

Employing a comprehensive, publicly available database of electronic medical records (EMR), we began by utilizing multiple logistic regression to identify and isolate a specific cohort in which the weekend effect was present. Next, we leveraged the highly detailed nature of the EMR to evaluate ICU performance using well-established ICU quality scorecards to assess differences in clinical factors among patients admitted to an ICU on the weekend versus weekday.

RESULTS

Our results demonstrate the weekend effect to be most prevalent among emergency surgery patients (OR 1.53; 95% CI 1.19, 1.96), specifically those diagnosed with circulatory diseases (P<.001). Differences between weekday and weekend admissions for this cohort included a variety of clinical factors such as ventilatory support and night-time discharges.

CONCLUSIONS

This work reinforces the importance of accounting for differences in clinical factors as well as patient cohorts in studies investigating the weekend effect.

What publicly available quality metrics do hip and knee arthroplasty patients care about most when selecting a hospital in Maryland: a discrete choice experiment

OBJECTIVE

To quantify which publicly reported hospital quality metrics have the greatest impact on a patient's simulated hospital selection for hip or knee arthroplasty.

DESIGN

Discrete choice experiment.

SETTING

Two university-affiliated orthopaedic clinics in the greater Baltimore area, Maryland, USA.

PARTICIPANTS

One hundred and twenty-eight patients who were candidates for total hip or knee arthroplasty.

PRIMARY AND SECONDARY OUTCOME MEASURES

The effect and magnitude of acceptable trade-offs between publicly reported hospital quality parameters on patients' decision-making strategies using a Hierarchical Bayes model.

RESULTS

Publicly reported information on patient perceptions of attention to alleviation of postoperative pain had the most influence on simulated hospital choice (20.7%), followed by methicillin-resistant Staphylococcus aureus (MRSA) rates (18.8%). The understandability of the discharge instructions was deemed the least important attribute with a relative importance of 6.9%. Stratification of these results by insurance status and duration of pain prior to surgery revealed that patient demographics and clinical presentation affect the decision-making paradigm.

CONCLUSIONS

Publicly available information regarding hospital performance is of interest to hip and knee arthroplasty patients. Patients are willing to accept suboptimal understanding of discharge instructions, lower hospital ratings and suboptimal cleanliness in exchange for better postoperative pain management, lower MRSA rates, and lower complication rates.

Template matching for benchmarking hospital performance in the veterans affairs healthcare system

Comparing hospital performance in a health system is traditionally done with multilevel regression models that adjust for differences in hospitals' patient case-mix. In contrast, "template matching" compares outcomes of similar patients at different hospitals but has been used only in limited patient settings.Our objective was to test a basic template matching approach in the nationwide Veterans Affairs healthcare system (VA), compared with a more standard regression approach.We performed various simulations using observational data from VA electronic health records whereby we randomly assigned patients to "pseudo hospitals," eliminating true hospital level effects. We randomly selected a representative template of 240 patients and matched 240 patients on demographic and physiological factors from each pseudo hospital to the template. We varied hospital performance for different simulations such that some pseudo hospitals negatively impacted patient mortality.Electronic health record data of 460,213 hospitalizations at 111 VA hospitals across the United States in 2015.We assessed 30-day mortality at each pseudo hospital and identified lowest quintile hospitals by template matching and regression. The regression model adjusted for predicted 30-day mortality (as a measure of illness severity).Regression identified the lowest quintile hospitals with 100% accuracy compared with 80.3% to 82.0% for template matching when systematic differences in 30-day mortality existed.The current standard practice of risk-adjusted regression incorporating patient-level illness severity was better able to identify lower-performing hospitals than the simplistic template matching algorithm.

Surgeon-Level Variation in Utilization of Local Staging and Neoadjuvant Therapy for Stage II-III Rectal Adenocarcinoma

INTRODUCTION

Neoadjuvant therapy (NT) is the standard of care for clinical stage II-III rectal adenocarcinoma, but utilization remains suboptimal. We aimed to determine the underlying reasons for omission of local staging and NT.

METHODS

We conducted a retrospective study of patients with clinical stage II-III or undocumented clinical stage/pathologic stage II-III rectal adenocarcinoma who were treated in 2010-2016 in one of nine Intermountain Healthcare hospitals. The outcomes of omission of local staging and NT were examined with multivariable models. Risk- and reliability-adjusted rates of local staging and NT were calculated for surgeons who treated ≥ 3 patients. Pathologic and long-term outcomes were examined after excluding patients who were not resected or who underwent local excision (N = 11).

RESULTS

Local staging was omitted in 43/240 (17.9%) patients and NT was omitted in 41/240 (17.1%). The strongest risk factors for local staging and NT omission were upper rectal tumors and surgeons who treated ≤ 3 cases/year. Thirty-six of 41 (87.8%) cases of omitted NT had local staging omitted. Adjusted surgeon-specific local staging rates varied 1.6-fold (56.3-92.4%) and NT rates varied 2.8-fold (34.1-97.1%). Surgeon local staging and NT rates were strongly correlated (r = 0.92). NT was associated with lower rates of positive circumferential radial margins (7.9 vs. 20.0%; P = 0.02), node positivity (33.3 vs. 55.0%; P = 0.01), and local recurrences (7.6 vs. 14.9% at 5 years; P = 0.0176).

CONCLUSIONS

NT omission should be understood as a consequence of surgeon failure to perform local staging in most cases. Quality improvement efforts should focus on improving utilization of local staging.

Incidence of pressure ulcers in intensive care units and direct costs of treatment: Evidence from Iran

BACKGROUND AND OBJECTIVE

Pressure ulcer (PU) is one of the important and frequent complications of hospitalization, associated with high treatment costs. The present study was conducted to determine the incidence of PU and its direct treatment costs for patients in intensive care unit (ICU) in Iran.

MATERIAL AND METHODS

In this retrospective study, medical records of 643 discharged patients from ICU of two selected hospitals were examined. The demographic and clinical data of all patients and data of resources and services usage for patients with PU were extracted through their records. Data analysis was done using logistic regression tests in SPSS 22 software. The cost of PU treatment was calculated for each grade of ulcer.

RESULTS

The findings showed that 8.9% of patients developed PU during their stay in ICU. Muscular paralysis (OR = 5.1), length of stay in ICU (OR = 4.0), diabetes (OR = 3.5) age (OR = 2.9), smoking (OR = 2.1) and trauma (OR = 1.4) were the most important risk factors of PU. The average cost of PU treatment varied from USD 12 for grade I PU to USD 66 834 for grade IV PUs. The total treatment costs for all studied patients with PU was estimated at USD 519 991.

CONCLUSION

The cost of PU treatment is significant. Since the preventive measures are more cost-effective than therapeutic measures, therefore, effective preventive interventions are recommended.

Medication adherence as a measure of the quality of care provided by physicians

OBJECTIVES

To assess the extent to which medication adherence in congestive heart failure (CHF) and diabetes may serve as a measure of physician-level quality.

STUDY DESIGN

A retrospective analysis of Medicare data from 2007 to 2009, including parts A (inpatient), B (outpatient), and D (pharmacy).

METHODS

For each disease, we assessed the correlation between medication adherence and health outcomes at the physician level. We controlled for selection bias by first regressing patient-level outcomes on a set of covariates including comorbid conditions, demographic attributes, and physician fixed effects. We then classified physicians into 3 levels of average patient medication adherence-low, medium, and high-and compared health outcomes across these groups.

RESULTS

There is a clear relationship between average medication adherence and patient health outcomes as measured at the physician level. Within the diabetes sample, among physicians with high average adherence and controlling for patient characteristics, 26.3 per 1000 patients had uncontrolled diabetes compared with 45.9 per 1000 patients among physicians with low average adherence. Within the CHF sample, also controlling for patient characteristics, the average rate of CHF emergency care usage among patients seen by physicians with low average adherence was 16.3% compared with 13.5% for doctors with high average adherence.

CONCLUSIONS

This study's results establish a physician-level correlation between improved medication adherence and improved health outcomes in the Medicare population. Our findings suggest that medication adherence could be a useful measure of physician quality, at least for chronic conditions for which prescription medications are an important component of treatment.

A Descriptive Study of Hospital- and Community-acquired Pressure Ulcers/Injuries

Hospital-acquired pressure ulcers/injuries (HAPU/I) have been a major focus of research, but information about community-acquired pressure ulcer/injuries (CAPU/I) is limited.

PURPOSE

The aim of this study was to compare HAPU/I and CAPU/I in a 620-bed academic medical center in the western United States.

METHODS

This descriptive study involved prospective/retrospective data collected from the National Data for Nursing Quality Indicators, including pressure ulcer stage (January 1, 2015, through December 31, 2017); the hospital's incident reporting system (January 1, 2017, through December 31, 2017); electronic medical records (EMR) as needed for verification; and the hospital's pressure ulcer registry (January 1, 2012, through December 31, 2017), developed by both EMR and manual extraction. Data regarding point prevalence, length of stay (LOS), source of admission, ulcer stage, and frequency of hospital encounters from patients at least 18 years of age with a pressure ulcer/injury documented in their records were abstracted. Data from pregnant or incarcerated persons and persons with missing or incomplete information on staging or origin of admission were excluded. Variables were analyzed using descriptive statistics.

RESULTS

The number of patients with data reviewed for point prevalence was 1787 for 2015, 1989 for 2016, and 1917 for 2017. For 2015, the average CAPU/I and HAPU/I point prevalence was 6.6% and 0.8%, respectively; for 2016, 6.0% and 1.5%, respectively; and for 2017, 6.9% and 0.9%, respectively. The average LOS for patients analyzed for 2017 admitted with a CAPU/I or HAPU/I was 10.5 days and 38.9 days, respectively. Hospital encounters were more frequent in the CAPU/I than in the HAPU/I group, with 821 CAPU/encounters compared to 45 HAPU/I encounters. The majority of patients with a HAPU/I (80%) or CAPU/I (65.4%) were admitted from home.

CONCLUSION

In this study, CAPU/I were more prevalent than HAPU/I and most patient encounters originated from home. More descriptive research that includes staging and source of admission is needed to document the rate of CAPU/I and characteristics of HAPU/I compared to CAPU/I in order to optimize pressure ulcer/injury practices across the continuum of care.

Knowledge and comfort change with an active learning activity on medication adherence calculations

BACKGROUND AND PURPOSE

Medication adherence is perhaps the most prominent quality measure applied to pharmacies. Teaching students about nonadherence usually takes the form of lectures and simulated pill taking exercises. While these approaches have value, activities are needed in other aspects of medication adherence.

EDUCATIONAL ACTIVITY AND SETTING

This activity was used within a didactic course on endocrine therapeutics for second-year student pharmacists at a public pharmacy college. A 50-min didactic session was followed by an active learning session on medication adherence metrics, focused on the community pharmacy setting. The active learning session had students manually calculate the proportion of days covered and medication possession ratios for two refill histories and examine the output of one simulated adherence dashboard. Students completed an online survey via the course management website before and after the activity that assessed student knowledge of concepts that comprise the proportion of days covered (PDC) metric and three items on self-reported knowledge, comfort, and confidence. The pre and post survey were compared using chi-square and paired t-tests.

FINDINGS

A total of 90 pre-surveys and 77 post-surveys were completed, with 70 having both pre- and post- data for comparison of the scaled responses. There was a statistically significant improvement in student knowledge, comfort, and confidence scores as assessed by the surveys.

DISCUSSION

A hands-on approach using a calendar and a custom database workbook appeared to help most students improve their understanding of applied medication adherence calculations.

SUMMARY

A 50-min didactic background session on medication adherence metrics followed by a 50-min adherence metric calculation activity was effective in increasing student knowledge and confidence related to calculating adherence metrics.

Measuring patient satisfaction with medical services using social media generated data

Purpose The purpose of this paper is to discuss the results of an effort to use social media generated data for measuring patient satisfaction with medical care services. Traditionally, scientifically designed patient satisfaction surveys are used to provide such measurements. The goal here is to evaluate the possibility of supplementing patient satisfaction surveys with social media generated patient satisfaction measurements such that the later can be used either as validation or replacement for the former. Although surveys are scientifically designed to yield dependable results, recent studies have revealed multiple factors relating to the methods currently used for survey data collection, that may be contributing to the limitations of many survey results. In light of such criticisms, this study explored the possibility of using the increasing popular and proactively generated consumer ratings through the pervasive social media as data source for satisfaction measurement. The average satisfaction scores created from such data are then used to compare levels of satisfaction among five types of health service businesses. Design/methodology/approach The data used in this research are garnered from the consumer review social media site called "Yelp!". Ratings and reviews that are related to health and medical services were extracted from the "Yelp!"

DATABASE

The types of services that are identified by consumers are standardized to typologies that are traditionally used in health service research. Five types of services were targeted - general practice physician offices, physician specialty services, dentists, hospitals and physical therapy services. The "five-star" rating systems were re-coded to form a five-point ordinal scale variable to represent "satisfaction score". Findings The Yelp! data-based measurement of patient satisfaction produced an overall satisfaction score of 3.8 (SD=1.7) for the sampled services. The average satisfaction score per type of service ranged from 3.16 (SD=1.83) for specialty physicians to 4.52 (SD=1.57) for physical therapists. In general, dentists and physical therapists received higher average satisfaction scores as compared to the other medical services. Research limitations/implications Because this study was meant to evaluate the utility of social media generated data to measure satisfaction, in general, the estimates cannot be construed as representative of any underlying geographically defined population. They, however, do have a "cohort" interpretability. This limitation is not inherent to the use of the data source. If some geographically identifiable representation of the measurement data is desired, identifiable business data can be generated from the Yelp! system to specifically target relevant populations following the method that are tested in this study. Practical implications Under certain circumstances, such as the size and maturity of the gathered data, social media generated data can be a useful as a "fortuitous" alternative to satisfaction surveys for evaluating patient satisfaction with medical care. This is propitious as there have been some indication by studies that the advent of communication media in the twenty-first century may be undermining the reliability of scientifically designed surveys. Originality/value The use of social media generated data as "alternative" or "secondary" data source for research use is currently being widely investigated. To the author's knowledge, this is the only paper that evaluated the use of "Yelp!" data as a possible source for population-based formal satisfaction measurement for healthcare services.

Do Skilled Nursing Facilities Selected to Participate in Preferred Provider Networks Have Higher Quality and Lower Costs?

OBJECTIVE

To determine whether skilled nursing facilities (SNFs) chosen by health systems to participate in preferred provider networks exhibited differences in quality, costs, and patient outcomes relative to other SNFs after accounting for differences in case mix.

DATA SOURCES

Medicare provider and claims data, 2012 and 2013.

STUDY DESIGN

We compared SNFs included in preferred networks relative to other SNFs in the same market, prior to the establishment of preferred provider networks.

DATA EXTRACTION METHODS

We linked the SNFs in our sample to facility characteristics and quality data. We identified SNF admissions and hospitalizations in claims data and limited the analysis to patients discharged from the hospitals in our sample. We obtained patient characteristics from Medicare summary files and the preceding hospital stay.

PRINCIPAL FINDINGS

Preferred SNFs exhibited better performance across publicly reported quality measures. Patients admitted to preferred SNFs exhibited shorter stays, lower Medicare payments, and lower probability of SNF readmission relative to nonpreferred SNFs.

CONCLUSIONS

Our results imply that health systems selected SNFs with lower resource use and better performance on quality measures. Thus, the trend toward preferred provider networks could have implications for Medicare spending and patient health.

Are Teaching Hospitals Treated Fairly in the Hospital-Acquired Condition Reduction Program?

PURPOSE

To identify the factors associated with total Hospital-Acquired Condition Reduction Program (HACRP) score and with receiving a Centers for Medicare and Medicaid Services (CMS) penalty (1% reduction in payment to those hospitals in the lowest-performing quartile of HACRP scores) for fiscal years (FYs) 2015-2017 with a particular focus on trends over this period.

METHOD

The authors evaluated the following variables: (1) type of hospital (teaching vs. nonteaching); (2) disproportionate patient percentage; (3) case mix index (CMI); (4) number of staffed beds; (5) length of stay (LOS); (6) gross patient revenue; and (7) region, using data from CMS and the American Hospital Directory. They conducted multivariate linear and logistic regressions.

RESULTS

A total of 2,249 hospitals were included. The mean total HACRP scores across hospitals for FY15, FY16, and FY17 were 5.38, 5.35, and 5.18, respectively. In FY15, 21.2% (476/2,249) of hospitals received a penalty compared with 22.6% (508/2,249) in FY16 and 31.3% (704/2,249) in FY17 (P < .001). The logistic regression model showed that teaching hospitals, larger hospitals (> 400 beds), hospitals with high CMI or long LOS, and hospitals in the Northeast and Western United States were more likely to receive a penalty. Teaching hospitals and larger hospitals did not improve their scores over time compared with nonteaching and small hospitals.

CONCLUSIONS

A reevaluation of the scoring methodology for the HACRP is needed. CMS could stratify hospitals into homogeneous categories and apply penalties to those that have the worst scores in each category.