Quality of Care Before and After Mergers and Acquisitions of Rural Hospitals

IMPORTANCE

Rural hospitals are increasingly merging with other hospitals. The associations of hospital mergers with quality of care need further investigation.

OBJECTIVES

To examine changes in quality of care for patients at rural hospitals that merged compared with those that remained independent.

DESIGN, SETTING, AND PARTICIPANTS

In this case-control study, mergers at community nonrehabilitation hospitals in Federal Office of Rural Health Policy-eligible zip codes during 2009 to 2016 in 32 states were identified from Irving Levin Associates and the American Hospital Association Annual Survey. Outcomes for inpatient stays for select conditions and elective procedures were derived from the Healthcare Cost and Utilization Project State Inpatient Databases. Difference-in-differences linear probability models were used to assess premerger to postmerger changes in outcomes for patients discharged from merged vs comparison hospitals that remained independent. Data were analyzed from February to December 2020.

EXPOSURES

Hospital mergers.

MAIN OUTCOMES AND MEASURES

The main outcome was in-hospital mortality among patients admitted for acute myocardial infarction (AMI), heart failure, stroke, gastrointestinal hemorrhage, hip fracture, or pneumonia, as well as complications during stays for elective surgeries.

RESULTS

A total of 172 merged hospitals and 266 comparison hospitals were analyzed. After matching, baseline patient characteristics were similar for 303 747 medical stays and 175 970 surgical stays at merged hospitals and 461 092 medical stays and 278 070 surgical stays at comparison hospitals. In-hospital mortality among AMI stays decreased from premerger to postmerger at merged hospitals (9.4% to 5.0%) and comparison hospitals (7.9% to 6.3%). Adjusting for patient, hospital, and community characteristics, the decrease in in-hospital mortality among AMI stays 1 year postmerger was 1.755 (95% CI, -2.825 to -0.685) percentage points greater at merged hospitals than at comparison hospitals (P < .001). This finding held up to 4 years postmerger (DID, -2.039 [95% CI, -3.388 to -0.691] percentage points; P = .003). Greater premerger to postmerger decreases in mortality at merged vs comparison hospitals were also observed at 5 years postmerger among stays for heart failure (DID, -0.756 [95% CI, -1.448 to -0.064] percentage points; P = .03), stroke (DID, -1.667 [95% CI, -3.050 to -0.283] percentage points; P = .02), and pneumonia (DID, -0.862 [95% CI, -1.681 to -0.042] percentage points; P = .04).

CONCLUSIONS AND RELEVANCE

These findings suggest that rural hospital mergers were associated with better mortality outcomes for AMI and several other conditions. This finding is important to enhancing rural health care and reducing urban-rural disparities in quality of care.

Predictive value of indicators for identifying child maltreatment and intimate partner violence in coded electronic health records: a systematic review and meta-analysis

OBJECTIVE

Electronic health records (EHRs) are routinely used to identify family violence, yet reliable evidence of their validity remains limited. We conducted a systematic review and meta-analysis to evaluate the positive predictive values (PPVs) of coded indicators in EHRs for identifying intimate partner violence (IPV) and child maltreatment (CM), including prenatal neglect.

METHODS

We searched 18 electronic databases between January 1980 and May 2020 for studies comparing any coded indicator of IPV or CM including prenatal neglect defined as neonatal abstinence syndrome (NAS) or fetal alcohol syndrome (FAS), against an independent reference standard. We pooled PPVs for each indicator using random effects meta-analyses.

RESULTS

We included 88 studies (3 875 183 individuals) involving 15 indicators for identifying CM in the prenatal period and childhood (0-18 years) and five indicators for IPV among women of reproductive age (12-50 years). Based on the International Classification of Disease system, the pooled PPV was over 80% for NAS (16 studies) but lower for FAS (<40%; seven studies). For young children, primary diagnoses of CM, specific injury presentations (eg, rib fractures and retinal haemorrhages) and assaults showed a high PPV for CM (pooled PPVs: 55.9%-87.8%). Indicators of IPV in women had a high PPV, with primary diagnoses correctly identifying IPV in >85% of cases.

CONCLUSIONS

Coded indicators in EHRs have a high likelihood of correctly classifying types of CM and IPV across the life course, providing a useful tool for assessment, support and monitoring of high-risk groups in health services and research.

Self-reported symptoms among participants in a population-based screening program

BACKGROUND

A limited number of studies have explored the association between self-reported symptoms and the risk of breast cancer among participants of population based screening programs.

METHODS

We performed descriptive statistics on recall, screen-detected and interval cancer, positive predictive value and histopathological tumour characteristics by symptom group (asymptomatic, lump, and skin or nipple changes) as reported from 785,642 women aged 50-69 when they attended BreastScreen Norway 1996-2016. Uni- and multivariable mixed effects logistic regression models were used to analyze the association between symptom group and screen-detected or interval cancer. Results were presented as odds ratios and 95% confidence intervals (CI).

RESULTS

A lump or skin/nipple change was reported in 6.2% of the 3,307,697 examinations. The rate of screen-detected cancers per 1000 examinations was 45.2 among women with a self-reported lump and 5.1 among asymptomatic women. Adjusted odds ratio of screen-detected cancer was 10.1 (95% CI: 9.3-11.1) and 2.0 (95% CI: 1.6-2.5) for interval cancer among women with a self-reported lump versus asymptomatic women. Tumour diameter, histologic grade and lymph node involvement of screen-detected and interval cancer were less prognostically favourable for women with a self-reported lump versus asymptomatic women.

CONCLUSION

Despite targeting asymptomatic women, 6.2% of the screening examinations in BreastScreen Norway was performed among women who reported a lump or skin/nipple change when they attended screening. The odds ratio of screen-detected cancer was higher for women with versus without symptoms. Standardized follow-up guidelines might be beneficial for screening programs in order to take care of women reporting signs or symptoms of breast cancer when they attend screening.

Association of Do-Not-Resuscitate Patient Case Mix With Publicly Reported Risk-Standardized Hospital Mortality and Readmission Rates

IMPORTANCE

The Centers for Medicare and Medicaid Services's (CMS's) 30-day risk-standardized mortality rate (RSMR) and risk-standardized readmission rate (RSRR) models do not adjust for do-not-resuscitate (DNR) status of hospitalized patients and may bias Hospital Readmissions Reduction Program (HRRP) financial penalties and Overall Hospital Quality Star Ratings.

OBJECTIVE

To identify the association between hospital-level DNR prevalence and condition-specific 30-day RSMR and RSRR and the implications of this association for HRRP financial penalty.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study obtained patient-level data from the Medicare Limited Data Set Inpatient Standard Analytical File and hospital-level data from the CMS Hospital Compare website for all consecutive Medicare inpatient encounters from July 1, 2015, to June 30, 2018, in 4484 US hospitals. Hospitalized patients had a principal diagnosis of acute myocardial infarction (AMI), heart failure (HF), stroke, pneumonia, or chronic obstructive pulmonary disease (COPD). Incoming acute care transfers, discharges against medical advice, and patients coming from or discharged to hospice were among those excluded from the analysis.

EXPOSURES

Present-on-admission (POA) DNR status was defined as an International Classification of Diseases, Ninth Revision diagnosis code of V49.86 (before October 1, 2015) or as an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis code of Z66 (beginning October 1, 2015). Hospital-level prevalence of POA DNR status was calculated for each of the 5 conditions.

MAIN OUTCOMES AND MEASURES

Hospital-level 30-day RSMRs and RSRRs for 5 condition-specific cohorts (mortality cohorts: AMI, HF, stroke, pneumonia, and COPD; readmission cohorts: AMI, HF, pneumonia, and COPD) and HRRP financial penalty status (yes or no).

RESULTS

Included in the study were 4 884 237 inpatient encounters across condition-specific 30-day mortality cohorts (patient mean [SD] age, 78.8 [8.5] years; 2 608 182 women [53.4%]) and 4 450 378 inpatient encounters across condition-specific 30-day readmission cohorts (patient mean [SD] age, 78.6 [8.5] years; 2 349 799 women [52.8%]). Hospital-level median (interquartile range [IQR]) prevalence of POA DNR status in the mortality cohorts varied: 11% (7%-16%) for AMI, 13% (7%-23%) for HF, 14% (9%-22%) for stroke, 17% (9%-26%) for pneumonia, and 10% (5%-18%) for COPD. For the readmission cohorts, the hospital-level median (IQR) POA DNR prevalence was 9% (6%-15%) for AMI, 12% (6%-22%) for HF, 16% (8%-24%) for pneumonia, and 9% (4%-17%) for COPD. The 30-day RSMRs were significantly higher for hospitals in the highest quintiles vs the lowest quintiles of DNR prevalence (eg, AMI: 12.9 [95% CI, 12.8-13.1] vs 12.5 [95% CI, 12.4-12.7]; P < .001). The inverse was true among the readmission cohorts, with the highest quintiles of DNR prevalence exhibiting the lowest RSRRs (eg, AMI: 15.3 [95% CI, 15.1-15.5] vs 15.9 [95% CI, 15.7-16.0]; P < .001). A 1% absolute increase in risk-adjusted hospital-level DNR prevalence was associated with greater odds of avoiding HRRP financial penalty (odds ratio, 1.06; 95% CI, 1.04-1.08; P < .001).

CONCLUSIONS AND RELEVANCE

This cross-sectional study found that the lack of adjustment in CMS 30-day RSMR and RSRR models for POA DNR status of hospitalized patients may be associated with biased readmission penalization and hospital-level performance.

Demographic Shifts, Case Mix, Activity, and Outcome for Elderly Patients Admitted to Adult General ICUs in England, Wales, and Northern Ireland

OBJECTIVES

Major increases in the proportion of elderly people in the population are predicted worldwide. These population increases, along with improving therapeutic options and more aggressive treatment of elderly patients, will have major impact on the future need for healthcare resources, including critical care. Our objectives were to explore the trends in admissions, resource use, and risk-adjusted hospital mortality for older patients, admitted over a 20-year period between 1997 and 2016 to adult general ICUs in England, Wales, and Northern Ireland.

DESIGN

RETROSPECTIVE ANALYSIS OF NATIONAL CLINICAL AUDIT DATABASE.

SETTING

The Intensive Care National Audit & Research Centre Case Mix Programme Database, the national clinical audit for adult general ICUs in England, Wales, and Northern Ireland.

PATIENTS

All adult patients 16 years old or older admitted to adult general ICUs contributing data to the Case Mix Programme Database between January 1, 1997, and December 31, 2016.

MEASUREMENTS AND MAIN RESULTS

The annual number, trends, and outcomes for patients across four age bands (16-64, 65-74, 75-84, and 85+ yr) admitted to ICUs contributing to the Case Mix Programme Database from 1997 to 2016 were examined. Case mix, activity, and outcome were described in detail for the most recent cohort of patients admitted in 2015-2016. Between 1997 to 2016, the annual number of admissions to ICU of patients in the older age bands increased disproportionately, with increases that could not be explained solely by general U.K. demographic shifts. The risk-adjusted acute hospital mortality decreased significantly within each age band over the 20-year period of the study. Although acute severity at ICU admission was comparable with that of the younger age group, apart from cardiovascular and renal dysfunction, older patients received less organ support. Older patients stayed longer in hospital post-ICU discharge, and hospital mortality increased with age, but the majority of patients surviving to hospital discharge returned home.

CONCLUSIONS

Over the past two decades, elderly patients have been more commonly admitted to ICU than can be explained solely by the demographic shift. Importantly, as with the wider population, outcomes in elderly patients admitted to ICU are improving over time, with most patients returning home.

Cost-Effectiveness of Titanium Elastic Nail (TEN) in the Treatment of Forearm Fractures in Children

Background and objectives: There are various methods in the management of forearm fractures in children. Elastic stable intramedullary nailing using Titanium Elastic Nail (TEN) is nowadays employed in diaphysis fractures of children, with clear benefits over other treatment options. However, in the case of TEN versus other treatment methods of forearm fractures in children, cost is an important issue. This report will focus on the cost assessment of using TEN versus other therapeutic means in the treatment of forearm fractures in children. Materials and Methods: We performed a retrospective longitudinal study of 173 consecutive patients with forearm fractures treated in a single institution during 2017. We calculated the cost for each patient by summing up direct costs plus indirect costs, calculated at an aggregate level. Hospital income data were extracted from the Diagnosis Related Groups database. Results: A total of 173 patients with forearm fractures were treated, 44 using TEN, 86 using K-wire, and 46 using closed reduction and cast. There were 66 radius fractures, 1 ulna fracture, and 106 that were both radius and ulna fractures. Mean treatment cost were $632.76 for TEN, $499.50 for K-wire, and $451.30 for closed reduction and cast. Costs for TEN were higher than for K-wire insertion (p = 0.00) and higher than closed reduction and cast ($182.42; p = 0.00). Reimbursement per patient was higher with TEN versus K-wire patients; $497.88 vs. $364.64 /patient (p = 0.00), and higher than for patients treated with closed reduction and cast (p = 0.00). Conclusions: The treatment of upper extremity fractures using TEN was more expensive than the other methods. In Romania, because the reimbursement for TEN is higher as well, there are no differences in the financial burden when treating forearm fractures with TEN versus K-wire. Non-surgical treatment has the lowest cost but also the lowest reimbursement.

Multiyear Rehospitalization Rates and Hospital Outcomes in an Integrated Health Care System

IMPORTANCE

Since the introduction of the rehospitalization rate as a quality measure, multiple changes have taken place in the US health care delivery system. Interpreting rehospitalization rates without taking a global view of these changes and new data elements from comprehensive electronic medical records yields a limited assessment of the quality of care.

OBJECTIVE

To examine hospitalization outcomes from a broad perspective, including the implications of numerator and denominator definitions, all adult patients with all diagnoses, and detailed clinical data.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study obtained data from 21 hospitals in Kaiser Permanente Northern California (KPNC), an integrated health care delivery system that serves patients with Medicare Advantage plans, Medicaid, and/or Kaiser Foundation Health Plan. The KPNC electronic medical record system was used to capture hospitalization data for adult patients who were 18 years of age or older; discharged from June 1, 2010, through December 31, 2017; and hospitalized for reasons other than childbirth. Hospital stays for transferred patients were linked using public and internal sources.

EXPOSURES

Hospitalization type (inpatient, for observation only), comorbidity burden, acute physiology score, and care directives.

MAIN OUTCOMES AND MEASURES

Mortality (inpatient, 30-day, and 30-day postdischarge), nonelective rehospitalization, and discharge disposition (home, home with home health assistance, regular skilled nursing facility, or custodial skilled nursing facility).

RESULTS

In total, 1 384 025 hospitalizations were identified, of which 1 155 034 (83.5%) were inpatient and 228 991 (16.5%) were for observation only. These hospitalizations involved 679 831 patients (mean [SD] age, 61.4 [18.1] years; 362 582 female [53.3%]). The number of for-observation-only hospitalizations increased from 16 497 (9.4%) in the first year of the study to 120 215 (20.5%) in the last period of the study, whereas inpatient hospitalizations with length of stay less than 24 hours decreased by 33% (from 12 008 [6.9%] to 27 108 [4.6%]). Illness burden measured using administrative data or acute physiology score increased significantly. The proportion of patients with a Comorbidity Point Score of 65 or higher increased from 20.5% (range across hospitals, 18.4%-26.4%) to 28.8% (range, 22.3%-33.0%), as did the proportion with a Charlson Comorbidity Index score of 4 or higher, which increased from 28.8% (range, 24.6%-35.0%) to 38.4% (range, 31.9%-43.4%). The proportion of patients at or near critical illness (Laboratory-based Acute Physiology Score [LAPS2] ≥110) increased by 21.4% (10.3% [range across hospitals, 7.4%-14.7%] to 12.5% [range across hospitals, 8.3%-16.6%]; P < .001), reflecting a steady increase of 0.07 (95% CI, 0.04-0.10) LAPS2 points per month. Unadjusted inpatient mortality in the first year of the study was 2.78% and in the last year was 2.71%; the corresponding numbers for 30-day mortality were 5.88% and 6.15%, for 30-day postdischarge mortality were 3.94% and 4.22%, and for nonelective rehospitalization were 12.00% and 12.81%, respectively. All outcomes improved after risk adjustment. Compared with the first month, the final observed to expected ratio was 0.79 (95% CI, 0.73-0.84) for inpatient mortality, 0.86 (95% CI, 0.82-0.89) for 30-day mortality, 0.90 (95% CI, 0.85-0.95) for 30-day nonelective rehospitalization, and 0.87 (95% CI, 0.83-0.92) for 30-day postdischarge mortality. The proportion of nonelective rehospitalizations meeting public reporting criteria decreased substantially over the study period (from 58.0% in 2010-2011 to 45.2% in 2017); most of this decrease was associated with the exclusion of observation stays.

CONCLUSIONS AND RELEVANCE

This study found that in this integrated system, the hospitalization rate decreased and risk-adjusted hospital outcomes improved steadily over the 7.5-year study period despite worsening case mix. The comprehensive results suggest that future assessments of care quality should consider the implications of numerator and denominator definitions, display multiple metrics concurrently, and include all hospitalization types and detailed data.

Standardised mortality ratios as a user-friendly performance metric and trigger for quality improvement in a Flemish hospital network: multicentre retrospective study

OBJECTIVE

To illustrate the development and use of standardised mortality rates (SMRs) as a trigger for quality improvement in a network of 27 hospitals.

DESIGN

This research was a retrospective observational study. The primary outcome was in-hospital mortality. SMRs were calculated for All Patient Refined-Diagnosis-Related Groups (APR-DRGs) that reflect 80% of the Flemish hospital network mortality. Hospital mortality was modelled using logistic regression. The metrics were communicated to the member hospitals using a custom-made R-Shiny web application showing results at the level of the hospital, patient groups and individual patients. Experiences with the metric and strategies for improvement were shared in chief medical officer meetings organised by the Flemish hospital network.

SETTING

27 Belgian hospitals.

PARTICIPANTS

1 198 717 hospital admissions for registration years 2009-2016.

RESULTS

Patient gender, age, comorbidity as well as admission source and type were important predictors of mortality. Altogether the SMR models had a C-statistic of 88%, indicating good discriminatory capability. Seven out of ten APR-DRGs with the highest percentage of hospitals statistically significantly deviating from the benchmark involved malignancy. The custom-built web application and the trusted environment of the Flemish hospital network created an interoperable strategy to get to work with SMR findings. Use of the web application increased over time, with peaks before and after key discussion meetings within the Flemish hospital network. A concomitant reduction in crude mortality for the selected APR-DRGs from 6.7% in 2009 to 5.9% in 2016 was observed.

CONCLUSIONS

This study reported on the phased approach for introducing SMR reporting to trigger quality improvement. Prerequisites for the successful use of quality metrics in hospital benchmarks are a collaborative approach based on trust among the participants and a reporting platform that allows stakeholders to interpret and analyse the results at multiple levels.

What is the impact on the readmission ratio of taking into account readmissions to other hospitals? A cross-sectional study

OBJECTIVES

Readmissions are used widespread as an indicator of the quality of care within hospitals. Including readmissions to other hospitals might have consequences for hospitals. The aim of our study is to determine the impact of taking into account readmissions to other hospitals on the readmission ratio.

DESIGN AND SETTING

We performed a cross-sectional study and used administrative data from 77 Dutch hospitals (2 333 173 admissions) in 2015 and 2016 (97% of all hospitals). We performed logistic regression analyses to calculate 30-day readmission ratios for each hospital (the number of observed admissions divided by the number of expected readmissions based on the case mix of the hospital, multiplied by 100). We then compared two models: one with readmissions only to the same hospital, and another with readmissions to any hospital in the Netherlands. The models were calculated on the hospital level for all in-patients and, in more detail, on the level of medical specialties.

MAIN OUTCOME MEASURES

Percentage of readmissions to another hospital, readmission ratios same hospital and any hospital and C-statistic of each model in order to determine the discriminative ability.

RESULTS

The overall percentage of readmissions was 10.3%, of which 91.1% were to the same hospital and 8.9% to another hospital. Patients who went to another hospital were younger, more often men and had fewer comorbidities. The readmission ratios for any hospital versus the same hospital were strongly correlated (r=0.91). There were differences between the medical specialties in percentage of readmissions to another hospital and C-statistic.

CONCLUSIONS

The overall impact of taking into account readmissions to other hospitals seems to be limited in the Netherlands. However, it does have consequences for some hospitals. It would be interesting to explore what causes this difference for some hospitals and if it is related to the quality of care.

Design and effects of outcome-based payment models in healthcare: a systematic review

INTRODUCTION

Outcome-based payment models (OBPMs) might solve the shortcomings of fee-for-service or diagnostic-related group (DRG) models using financial incentives based on outcome indicators of the provided care. This review provides an analysis of the characteristics and effectiveness of OBPMs, to determine which models lead to favourable effects.

METHODS

We first developed a definition for OBPMs. Next, we searched four data sources to identify the models: (1) scientific literature databases; (2) websites of relevant governmental and scientific agencies; (3) the reference lists of included articles; (4) experts in the field. We only selected studies that examined the impact of the payment model on quality and/or costs. A narrative evidence synthesis was used to link specific design features to effects on quality of care or healthcare costs.

RESULTS

We included 88 articles, describing 12 OBPMs. We identified two groups of models based on differences in design features: narrow OBPMs (financial incentives based on quality indicators) and broad OBPMs (combination of global budgets, risk sharing, and financial incentives based on quality indicators). Most (5 out of 9) of the narrow OBPMs showed positive effects on quality; the others had mixed (2) or negative (2) effects. The effects of narrow OBPMs on healthcare utilization or costs, however, were unfavourable (3) or unknown (6). All broad OBPMs (3) showed positive effects on quality of care, while reducing healthcare cost growth.

DISCUSSION

Although strong empirical evidence on the effects of OBPMs on healthcare quality, utilization, and costs is limited, our findings suggest that broad OBPMs may be preferred over narrow OBPMs.

Can differences in length of stay between Dutch university hospitals and other hospitals be explained by patient characteristics? A cross-sectional study

OBJECTIVES

The indicator unexpectedly long length of stay (UL-LOS) is used to gain insight into quality and safety of care in hospitals. The calculation of UL-LOS takes patients' age, main diagnosis and main procedure into account. University hospitals have relatively more patients with a UL-LOS than other hospitals. Our main research question is whether the high number of patients with a UL-LOS in university hospitals is caused by differences in additional patient characteristics between university hospitals and other hospitals.

DESIGN

We performed a cross-sectional study and used administrative data from 1 510 627 clinical admissions in 87 Dutch hospitals. Patients who died in hospital, stayed in hospital for 100 days or longer or whose country of residence was not the Netherlands were excluded from the UL-LOS indicator. We identified which patient groups were treated only in university hospitals or only in other hospitals and which were treated in both hospital types. For these last patient groups, we added supplementary patient characteristics to the current model to determine the effect on the UL-LOS model.

RESULTS

Patient groups treated in both hospital types differed in terms of detailed primary diagnosis, socioeconomic status, source of admission, type of admission and amount of Charlson comorbidities. Nevertheless, when adding these characteristics to the current model, university hospitals still have a significantly higher mean UL-LOS score compared with other hospitals (p<0.001).

CONCLUSIONS

The difference in UL-LOS scores between both hospital types remains after adding patient characteristics in which both hospital types differ. We conclude that the high UL-LOS scores in university hospitals are not caused by the investigated additional patient characteristics that differ between university and other hospitals. Patients might stay relatively longer in university hospitals due to differences in work processes because of their education and research tasks or financing differences of both hospital types.

Hospital responses to price shocks under the prospective payment system

Under the prospective payment system (PPS), hospitals receive a bundled payment for an entire episode of treatment based on diagnosis-related groups (DRG). Although there is ample evidence regarding the impact of the introduction of the PPS, there is little research on the effects of the ensuing changes in payment levels under the PPS. In 2005, the Medicare PPS changed its definition of payment areas from the Metropolitan Statistical Areas to the Core-Based Statistical Areas, generating substantial area-specific price shocks. Using these exogenous price variations, this study examines hospital responses to price changes under the PPS. The results demonstrate that, while the average payment amount significantly increases in the affected areas, no parallel trend is observed in admission volume, treatment intensity, and quality of services. Conversely, hospitals facing a price increase are more liable to the perverse incentives that the PPS is known to encourage, namely, selecting or shifting patients into higher-paying DRGs. These results suggest that paying a higher price for a given service may not induce hospitals to offer services of better quality, but can rather prompt even higher payments through other behavioral responses.

Association of the Swiss Diagnosis-Related Group Reimbursement System With Length of Stay, Mortality, and Readmission Rates in Hospitalized Adult Patients

IMPORTANCE

In 2012, hospital reimbursement in Switzerland changed from a fee-for-service per diem system to a diagnosis-related group (SwissDRG) system. Whether this change in reimbursement is associated with harmful implications for quality of care and patient outcomes remains unclear.

OBJECTIVE

To examine the association of the SwissDRG implementation with length of hospital stay (LOS), in-hospital mortality, and 30-day readmission rates in the overall adult inpatient population and stratified by 5 individual diagnoses.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used administrative data from the Swiss Federal Statistical Office to investigate medical hospitalizations in Switzerland from January 1, 2009, through December 31, 2015. All hospitalizations for adult medical inpatients were included in the main analysis. Patients who presented with 1 of the 5 common medical diagnoses were included in the subanalyses: community-acquired pneumonia, exacerbation of chronic obstructive pulmonary disease, acute myocardial infarction, acute heart failure, and pulmonary embolism. An interrupted time series model was used to determine changes in time trends for risk-adjusted LOS, in-hospital mortality, and 30-day readmission after the implementation of SwissDRG in 2012. Analyses were performed from March 1, 2018, to June 30, 2018, and from November 1, 2018, to December 18, 2018.

MAIN OUTCOMES AND MEASURES

Monthly patient-level data for LOS, in-hospital mortality, and 30-day readmission rates.

RESULTS

The sample included a total of 2 426 722 hospitalized adult patients. Of this total, 1 018 404 patients (41.9%; 531 226 [52.2%] male, median [interquartile range (IQR)] age of 69 [55-80] years) composed the before-SwissDRG period; 1 408 318 patients (58.0%; 730 228 [51.9%] male, median [IQR] age of 70 [56-81] years) composed the after-SwissDRG period. The overall LOS gradually decreased from unadjusted mean (SD) 8.0 (12.7) days in 2009 to 7.2 (17.3) days in 2015. This reduction in LOS, however, was not substantially greater with the implementation of SwissDRG in 2012 (risk-adjusted slope, -0.0166 days; 95% CI, -0.0223 to -0.0110 days), with an adjusted difference in slopes of 0.0000 days (95% CI, -0.0072 to 0.0072 days). Risk-adjusted all-cause in-hospital mortality declined from 4.9% in 2009 to 4.6% in 2015, with a substantially greater decline after implementation of SwissDRG (difference between monthly slopes before and after implementation, -0.0115%; 95% CI, -0.0190% to -0.0039%). In the same period, risk-adjusted 30-day readmission rates increased from 14.4% in 2009 to 15.0% in 2015, with a greater increase after SwissDRG implementation (change in monthly slope, 0.0339%; 95% CI, 0.0254%-0.0423%). Patients with acute myocardial infarction were found to have a substantially greater increase after SwissDRG implementation in 30-day readmission rates (adjusted difference in slopes, 0.1144%; 95% CI, 0.0617%-0.1671%).

CONCLUSIONS AND RELEVANCE

Among medical hospitalizations in Switzerland, SwissDRG implementation appeared to be associated with an increase in readmission rates and a decrease in in-hospital mortality but not with the gradual decrease in LOS observed in the historical control period.

Health services research in German radiation oncology: new opportunities to advance cancer care

BACKGROUND

Health services research (HSR) is of increasing relevance to scientists, health-care providers, and clinicians. Complex population-based secondary data are a key source of information for analyses of health-care effects in radiation oncology.

METHODS

In this short paper, we examine potential applications of secondary data focusing on statistics from the diagnosis-related groups (DRG). This data set incorporating all hospitalized cases in Germany is based on claims of reimbursements and is provided by the Research Data Centers (RDC) of the Federal Statistical Office and the Statistical Offices of the federal states. A short outlook regarding other data sources is also presented.

RESULTS

In radiation oncology, secondary data such as the DRG statistics have rarely been used to examine health-care effects, despite their great potential for reporting effects in a broad population-based setting. Furthermore, for most data sources, the application to use these data is accessible with minor effort. However, data concerning outpatient care are difficult to analyze on a comparable level.

CONCLUSION

DRG statistics and related secondary data provide a remarkable source of information for analyses of health-care-related effects in radiation oncology.

Development of Hospitalization Resource Intensity Scores for Kids (H-RISK) and Comparison across Pediatric Populations

BACKGROUND

In the Medicare population, measures of relative severity of illness (SOI) for hospitalized patents have been used in prospective payment models. Similar measures for pediatric populations have not been fully developed.

OBJECTIVE

To develop hospitalization resource intensity scores for kids (H-RISK) using pediatric relative weights (RWs) for SOI and to compare hospital types on case-mix index (CMI).

DESIGN/METHODS

Using the 2012 Kids' Inpatient Database (KID), we developed RWs for each All Patient Refined Diagnosis Related Group (APR-DRG) and SOI level. RW corresponded to the ratio of the adjusted mean cost for discharges in an APR-DRG SOI combination over adjusted mean cost of all discharges in the dataset. RWs were applied to every discharge from 3,117 hospitals in the database with at least 20 discharges. RWs were then averaged at the hospital level to provide each hospital's CMI. CMIs were compared by hospital type using Kruskal- Wallis tests.

RESULTS

The overall adjusted mean cost of weighted discharges in Healthcare Cost and Utilization Project KID 2012 was $6,135 per discharge. Solid organ and bone marrow transplantations represented 4 of the 10 highest procedural RWs (range: 35.5 to 91.7). Neonatal APRDRG SOIs accounted for 8 of the 10 highest medical RWs (range: 19.0 to 32.5). Free-standing children's hospitals yielded the highest median (interquartile range [IQR]) CMI (2.7 [2.2-3.1]), followed by urban teaching hospitals (1.8 [1.3-2.6]), urban nonteaching hospitals (1.1 [0.9-1.5]), and rural hospitals (0.8 [0.7-0.9]; P < .001).

CONCLUSIONS

H-RISK for populations of pediatric admissions are sensitive to detection of substantial differences in SOI by hospital type.

The Effect of Diagnosis-Related Group Payment System on Quality of Care in the Field of Obstetrics and Gynecology among Korean Tertiary Hospitals

PURPOSE

To examine changes in clinical practice patterns following the introduction of diagnosis-related groups (DRGs) under the fee-for-service payment system in July 2013 among Korean tertiary hospitals and to evaluate its effect on the quality of hospital care.

MATERIALS AND METHODS

Using the 2012-2014 administrative database from National Health Insurance Service claim data, we reviewed medical information for 160400 patients who underwent cesarean sections (C-secs), hysterectomies, or adnexectomies at 43 tertiary hospitals. We compared changes in several variables, including length of stay, spillover, readmission rate, and the number of simultaneous and emergency operations, from before to after introduction of the DRGs.

RESULTS

DRGs significantly reduced the length of stay of patients undergoing C-secs, hysterectomies, and adnexectomies (8.0±6.9 vs. 6.0±2.3 days, 7.4±3.5 vs. 6.4±2.7 days, 6.3±3.6 vs. 6.2±4.0 days, respectively, all p<0.001). Readmission rates decreased after introduction of DRGs (2.13% vs. 1.19% for C-secs, 4.51% vs. 3.05% for hysterectomies, 4.77% vs. 2.65% for adnexectomies, all p<0.001). Spillover rates did not change. Simultaneous surgeries, such as colpopexy and transobturator-tape procedures, during hysterectomies decreased, while colporrhaphy during hysterectomies and adnexectomies or myomectomies during C-secs did not change. The number of emergency operations for hysterectomies and adnexectomies decreased.

CONCLUSION

Implementation of DRGs in the field of obstetrics and gynecology among Korean tertiary hospitals led to reductions in the length of stay without increasing outpatient visits and readmission rates. The number of simultaneous surgeries requiring expensive operative instruments and emergency operations decreased after introduction of the DRGs.

Performance assessment of the inpatient medical services of a clinical subspecialty: A case study with risk adjustment based on diagnosis-related groups in China

Diagnosis-related groups (DRGs) have been receiving increasing attention in health service research in China. In the present study, we used the 2014 Beijing-Diagnosis Related Groups (BJ-DRGs) to evaluate the inpatient service performance of the clinical subspecialty "major operation of the digestive system" of a cancer specialist hospital.The research hospital is one of 16 public municipal hospitals overseen by the Beijing Health Bureau ("16 hospitals"). Discharge data collected between 2008 and 2015 were drawn from the front pages of the medical records of these hospitals. After the data were reported to the Beijing Public Health Information Centre, as well as being grouped using the BJ-DRGs. We evaluated the service performance of this subspecialty in terms of capacity, efficiency, and service quality, based on the BJ-DRGs risk adjustment tool.From 2008 to 2015, the total weight of the subspecialty in the research hospital increased annually. In 2015, the cases in this hospital accounted for 50.27% of the total in 16 hospitals. The time consumption index was 0.91, whereas the charge consumption index was 1.24, which was 24% higher than the average in16 hospitals. The mortality rates of the middle-low risk groups (GB15 and GB25) in the research hospital and the 16 hospitals were zero, while the mortality rates for the middle-high risk groups (GB11 and GB23) in the research hospital were significantly lower than those in 16 hospitals.The service capacity of the subspecialty steadily increased in the research hospital. However, the hospital must offer more attention to complex digestive disease cases (GB11/GB23) and strictly control hospitalization expenses, while maintaining the advantages of service efficiency and quality.

Measuring the Impact of Disasters Using Publicly Available Data: Application to Hurricane Sandy (2012)

The unexpected nature of disasters leaves little time or resources for organized health surveillance of the affected population, and even less for those who are unaffected. An ideal epidemiologic study would monitor both groups equally well, but would typically be decided against as infeasible or costly. Exposure and health outcome data at the level of the individual can be difficult to obtain. Despite these challenges, the health effects of a disaster can be approximated. Approaches include 1) the use of publicly available exposure data in geographic detail, 2) health outcomes data-collected before, during, and after the event, and 3) statistical modeling designed to compare the observed frequency of health outcomes with the counterfactual frequency hidden by the disaster itself. We applied these strategies to Hurricane Sandy, which struck the northeastern United States in October 2012. Hospital admissions data from the state of New York with information on primary payer as well as patient demographic characteristics were analyzed. To illustrate the method, we present multivariate logistic regression results for the first 2 months after the hurricane. Inferential implications of admissions data on nearly the entire target population in the wake of a disaster are discussed.

Do public hospitals respond to changes in DRG price regulation? The case of birth deliveries in the Italian NHS

We study how changes in Diagnosis-Related Group price regulation affect hospital behaviour in quasi-markets with exclusive provision by public hospitals. Exploiting a quasi-natural experiment, we use a difference-in-differences approach to test whether public hospitals respond to an exogenous change in Diagnosis-Related Group tariffs by increasing C-section rates and/or by upcoding. Controlling for a detailed set of mother characteristics, we find that price changes did not affect the probability of a C-section. We do however find evidence of upcoding: Conditional on the birth delivery method (either a C-section or a vaginal delivery), public hospitals experiencing the largest price change exhibit a higher probability of treating patients coded as complicated. This finding suggests that even public hospitals may be sensitive to market incentives.

Comparing Some Production Functions for Inpatient Health Services in Selected Public Hospitals in Spain

To investigate the adequacy of the widely used Cobb-Douglas and transcendental logarithmic (translog) models of the production functions of hospital inpatient services, the authors fitted these and additive models to data for the four most productive health services of 10 public hospitals in Galicia, Spain (the same four in each). Production, measured as admissions weighted in accordance with their diagnosis-related groups (DRGs), was treated as a function of physician full-time equivalents as surrogate labor factor and number of beds as surrogate capital factor. The results suggest that while the Cobb-Douglas and translog models suffice to represent the production functions of services with low average DRG weight, the greater flexibility of additive models is required for services with higher average DRG weight when only these two inputs are considered.

Mortality risks associated with emergency admissions during weekends and public holidays: an analysis of electronic health records

BACKGROUND

Weekend hospital admission is associated with increased mortality, but the contributions of varying illness severity and admission time to this weekend effect remain unexplored.

METHODS

We analysed unselected emergency admissions to four Oxford University National Health Service hospitals in the UK from Jan 1, 2006, to Dec 31, 2014. The primary outcome was death within 30 days of admission (in or out of hospital), analysed using Cox models measuring time from admission. The primary exposure was day of the week of admission. We adjusted for multiple confounders including demographics, comorbidities, and admission characteristics, incorporating non-linearity and interactions. Models then considered the effect of adjusting for 15 common haematology and biochemistry test results or proxies for hospital workload.

FINDINGS

257 596 individuals underwent 503 938 emergency admissions. 18 313 (4·7%) patients admitted as weekday energency admissions and 6070 (5·1%) patients admitted as weekend emergency admissions died within 30 days (p<0·0001). 9347 individuals underwent 9707 emergency admissions on public holidays. 559 (5·8%) died within 30 days (p<0·0001 vs weekday). 15 routine haematology and biochemistry test results were highly prognostic for mortality. In 271 465 (53·9%) admissions with complete data, adjustment for test results explained 33% (95% CI 21 to 70) of the excess mortality associated with emergency admission on Saturdays compared with Wednesdays, 52% (lower 95% CI 34) on Sundays, and 87% (lower 95% CI 45) on public holidays after adjustment for standard patient characteristics. Excess mortality was predominantly restricted to admissions between 1100 h and 1500 h (p_interaction=0·04). No hospital workload measure was independently associated with mortality (all p values >0·06).

INTERPRETATION

Adjustment for routine test results substantially reduced excess mortality associated with emergency admission at weekends and public holidays. Adjustment for patient-level factors not available in our study might further reduce the residual excess mortality, particularly as this clustered around midday at weekends. Hospital workload was not associated with mortality. Together, these findings suggest that the weekend effect arises from patient-level differences at admission rather than reduced hospital staffing or services.

FUNDING

NIHR Oxford Biomedical Research Centre.

Upcoding in a National Health Service: the evidence from Portugal

For many years, evidence from the USA has pointed out to the existence of upcoding in management practices. Upcoding is defined as classifying patients in diagnosis-related groups codes associated with larger payments. The incentive for upcoding is not restricted to private providers of care. Conceptually, any patient classification system that is used for payment purposes may be vulnerable to this sort of strategic behaviour by providers. We document here that upcoding occurs in a National Health Service where public hospitals have their payment (budget) tied to the classification of treatment episodes. Using diagnosis-related groups data from Portugal, we found that the practice of upcoding has been used in the hospitals in a way leading to larger budgets (age of patients plays a key role). The effect is quantitatively small. Copyright © 2016 John Wiley & Sons, Ltd.

Dual-System Use: Are There Implications for Risk Adjustment and Quality Assessment?

The authors examined the implications of dual-system use for risk adjustment and quality assessment. The sample (n = 34 151) included all veterans dually enrolled in the Veterans Health Administration (VA) and the private sector in 1998 with (1) an inpatient discharge from either a VA or Medicare setting for 1 of 6 conditions/procedures and (2) inpatient and/or outpatient use in both the VA and private sector. The authors used the Diagnostic Cost Groups risk-adjustment system to obtain concurrent and prospective health status (relative risk scores) using veterans' Medicare diagnoses only, VA diagnoses only, and diagnoses from both systems. Both concurrent and prospective relative risk scores increased when diagnoses from both systems were used; the population's disease profile also was affected. The authors conclude that it is important to capture the true disease burden of the population by obtaining diagnoses from all health care systems providing care to facilitate meaningful comparisons of performance.

[Cases and duration of mechanical ventilation in German hospitals : An analysis of DRG incentives and developments in respiratory medicine]

BACKGROUND

Diagnosis-related groups (DRGs) have been used to reimburse hospitals services in Germany since 2003/04. Like any other reimbursement system, DRGs offer specific incentives for hospitals that may lead to unintended consequences for patients. In the German context, specific procedures and their documentation are suspected to be primarily performed to increase hospital revenues. Mechanical ventilation of patients and particularly the duration of ventilation, which is an important variable for the DRG-classification, are often discussed to be among these procedures.

OBJECTIVES

The aim of this study was to examine incentives created by the German DRG-based payment system with regard to mechanical ventilation and to identify factors that explain the considerable increase of mechanically ventilated patients in recent years. Moreover, the assumption that hospitals perform mechanical ventilation in order to gain economic benefits was examined.

MATERIAL AND METHODS

In order to gain insights on the development of the number of mechanically ventilated patients, patient-level data provided by the German Federal Statistical Office and the German Institute for the Hospital Remuneration System were analyzed. The type of performed ventilation, the total number of ventilation hours, the age distribution, mortality and the DRG distribution for mechanical ventilation were calculated, using methods of descriptive and inferential statistics. Furthermore, changes in DRG-definitions and changes in respiratory medicine were compared for the years 2005-2012.

RESULTS

Since the introduction of the DRG-based payment system in Germany, the hours of ventilation and the number of mechanically ventilated patients have substantially increased, while mortality has decreased. During the same period there has been a switch to less invasive ventilation methods. The age distribution has shifted to higher age-groups. A ventilation duration determined by DRG definitions could not be found.

CONCLUSION

Due to advances in respiratory medicine, new ventilation methods have been introduced that are less prone to complications. This development has simultaneously improved survival rates. There was no evidence supporting the assumption that the duration of mechanical ventilation is influenced by the time intervals relevant for DRG grouping. However, presumably operational routines such as staff availability within early and late shifts of the hospital have a significant impact on the termination of mechanical ventilation.

KC60 coding: room for improvement – a study into consistencies and inconsistencies in the use of diagnosing codes

Twenty mock cases were designed. Thirty-two doctors completed the study, assigning local and KC60 codes for service provision and diagnoses. They gave a wide range of responses, often missing codes or adding inappropriate ones. Where the diagnosis was clear, e.g. gonorrhoea, 97% assigned the correct KC60 code. However, the KC60 codes for service provision (S1, S2, P1A, P3, etc.) were frequently omitted, representing a significant underestimate of workload. Some local codes were given by only 6–28% of clinicians, and when they included them, doctors were more likely to omit KC60 codes. Low response rates for local codes renders these codes unhelpful. Simplification of coding procedures is needed so that diagnoses and workload are documented accurately. This is crucial at a time of modernization of genitourinary (GU) Medicine services and the introduction of Payment by Results.

Roughly right or precisely wrong? Systematic review of quality-of-life weights elicited with the time trade-off method

Objective: Cost-utility analysis is gaining importance as a tool for setting priorities in health care. The approach requires quality-of-life weights on a scale from 0.00 (corresponding to death) to 1.00 (corresponding to perfect health). Different methods and perspectives of the evaluators tend to give different results. Time trade-off (TTO) is the most commonly used method to elicit quality-of-life weights for quality-adjusted life-years (QALYs). How reliable are the results of this method, when limited to one specific perspective, as input for cost-utility analysis?

Method: Systematic literature review of empirical studies in which the TTO is elicited by the respondent on their own behalf.

Results: In 56 papers, quality-of-life weights for 102 diagnostic groups were given. Ranking of the diagnostic groups according to their quality-of-life weights had no apparent relation to severity. One specific diagnostic group was assigned quality-of-life weights ranging from 0.39 to 0.84. Altogether, 57% of respondents did not trade any life-time at all in exchange for health improvements. The distributions studied were skewed towards 1.00 and were bimodal without a central tendency. The correlation between the TTO and related methods was generally weak. Possible explanations for the poor empirical properties of the TTO are inappropriate use of the method, lack of representative samples, or that the TTO does not measure what it claims to measure.

Conclusion: In the light of these findings, the TTO elicited from the patient perspective, as currently practised, should not be used as an input for QALYs or for comparisons of diagnostic groups.

[Sigmoid colon diverticulitis : Treatment modalities 2011-2013]

INTRODUCTION

Diverticulosis is a relevant disease in Germany with a prevalence of over 60 % in patients aged ≥70 years. The S2k guidelines for the treatment of diverticulosis were recently published. Systematic epidemiological data on treatment modalities do not exist.

METHODS

Analysis of in-hospital treatment modalities for diverticulosis based on data from the Federal Office of Statistics.

RESULTS

Approximately 130,000 inpatient cases of diverticulosis are treated in Germany per year. Approximately 25 % undergo surgery and of these slightly under 50 % (12,000 procedures) are carried out by laparoscopy. The complication rates are 18 % in a best case scenario and up to 85 % in a worst case scenario. A stage-adjusted classification of treatment modalities based on data from the Federal Office of Statistics is currently practically impossible.

CONCLUSION

To enable stage-adjusted epidemiological analysis of diverticulosis, a standardized and transparent documentation system enabling systematic analysis is necessary, which does not currently exist (e. g. ICD 10 coding); moreover, information on conservative and interventional treatment options are not included in the operations and procedures key (OPS) coding system.

Proposal of resources optimization in the hospital treatment of heart failure by an increased utilization of cardiac rehabilitation

weight on social cost. An improved resources utilization could promote a reduction of the new hospitalization and a of medical costs. Working hypotesis: To analyze a model of increased utilization of our Cardiac Rehabilitation (CR) Unit, aiming at improving the cost/profit ratio through a better use of resources and a better assignment of care. With a reduction of average length of stay in the Operative Units for acute patients, we could promote a demand of post-acute hospitalization of 950.7 days of hospitalization that could be assigned to Cardiologic Rehabilitation Unit. Results: With the transfer of patients the utilization rate of CR would increase to 97%. With a mean period in bed of 15.3 days we could hospitalize 62 additional patients and the total margin of contribution would became positive: 69.817 euro. The break even analysis applied to costs and returns of the Unit shows a further indication to increase the hospitalization number in CR Unit with patients transfered from acute patient units. Under the same costs the recovery of efficiency leads to a reduction of variable costs. In the same time there is an increase of returns due to an increase of mean value for case and an increase of services. Conclusion: The increase in the efficiency in the utilization of CR Unit leads to an increase of the Hospital efficiency. The transfer of patients from acute units to CR Unit would allow an increased hospitalization rate for acute patients without requiring additional resources.

Short Report. Audit of Conscious Sedation Provision in a Salaried Dental Service

Clinical audit is a tool that may be used to improve the quality of care and outcomes for patients in a health care setting as well as a mechanism for clinicians to reflect on their performance. The audit described in this short report involved the collection and analysis of data related to the administration of 1,756 conscious sedations, categorised as standard techniques, by clinicians employed by an NHS Trust-based dental service during the year 2014. Data collected included gender, age and medical status of subject, the type of care delivered, the dose of drug administered and the quality of the achieved sedation and any sedation-related complications. This was the first time that a service-wide clinical audit had been undertaken with the objective of determining the safety and effectiveness of this aspect of care provision. Evaluation of the analysed data supported the perceived view that such care was being delivered satisfactorily. This on-going audit will collect data during year 2016 on the abandonment of clinical sessions, in which successful sedation had been achieved, due to the failure to obtain adequate local anaesthesia.

Epidemiology of admissions to 11 stand-alone high-dependency care units in the UK

PURPOSE

High-dependency care units (HDUs) are a focus of research to optimize critical care resource allocation. HDUs provide a level of care between the general ward and the intensive care unit (ICU). However, few data report on the case mix and outcomes of patients in these units.

METHODS

Retrospective observational cohort study of patients admitted to 11 stand-alone HDUs in the UK from 2008 to 2011. We stratified patients by location prior to HDU admission and location on discharge from HDU, and we summarized the case mix, transitions of care, and mortality.

RESULTS

Of 9008 patients admitted to 11 stand-alone HDUs, 56.5% were male and the mean age was 62.7 ± 17.9 years. The majority of patients admitted to HDUs were non-surgical (59.3%), with 22.4 and 20.1% admitted from the ICU and general ward, respectively; 41.3% were admitted from the operating room or recovery suite. The median length of stay in HDU was 1.8 days (IQR 0.9-3.5) and in-HDU mortality was 5.1%. Among HDU survivors (n = 8551), 8.5% were discharged to an ICU, 80.9% to a general ward, and 10.6% to other care areas. For patients admitted to HDU from an ICU, only 5.8% were readmitted to ICU. Hospital mortality for the HDU population was 14.8%; for patients discharged to an ICU, hospital mortality was 43.6%.

CONCLUSIONS

In a sample of 11 stand-alone HDUs in the UK, patients are from many different hospital locations. Hospital mortality for patients requiring HDU care is high, particularly for patients who require transfer to an ICU.

What explains DRG upcoding in neonatology? The roles of financial incentives and infant health

We use the introduction of diagnosis related groups (DRGs) in German neonatology to study the determinants of upcoding. Since 2003, reimbursement is based inter alia on birth weight, with substantial discontinuities at eight thresholds. These discontinuities create incentives to upcode preterm infants into classes of lower birth weight. Using data from the German birth statistics 1996-2010 and German hospital data from 2006 to 2011, we show that (1) since the introduction of DRGs, hospitals have upcoded at least 12,000 preterm infants and gained additional reimbursement in excess of 100 million Euro; (2) upcoding rates are systematically higher at thresholds with larger reimbursement hikes and in hospitals that subsequently treat preterm infants, i.e. where the gains accrue; (3) upcoding is systematically linked with newborn health conditional on birth weight. Doctors and midwives respond to financial incentives by not upcoding newborns with low survival probabilities, and by upcoding infants with higher expected treatment costs.

Beyond surgical call coverage reaping the benefits of a surgical hospitalist program

A surgical hospitalist program can address issues with surgical call coverage and help organizations prepare for value-based payment. Such a program can improve timeliness of care and reduce complications, length of stay, and costs. A surgical hospitalist program at one California hospital saved the organization an estimated $2 million a year.

Increased risk of acute pancreatitis following pneumococcal pneumonia: a nationwide cohort study

BACKGROUND

The purpose of this study was to evaluate the risk of acute pancreatitis following pneumococcal pneumonia in Taiwan.

METHODS

We undertook a retrospective cohort study using the hospitalisation claims data of the Taiwan National Health Insurance Program. We identified 16709 subjects aged 20-84 with the first-attack of pneumococcal pneumonia between 1998 and 2010 as the pneumonia group and we randomly selected 66836 subjects without a history of pneumonia as the non-pneumonia group. Both groups were matched for gender, age and index year. We examined the incidence of acute pancreatitis by the end of 2010 and we used a multivariable Cox proportional hazards regression model to calculate the hazard ratio (HR) and 95% confidence interval (95% CI) of acute pancreatitis associated with pneumococcal pneumonia and other comorbidities.

RESULTS

Subjects with pneumococcal pneumonia had higher incidence of acute pancreatitis, when compared with non-pneumonia subjects (2.41 vs. 1.47 per 1000 person-years, crude HR 1.65, 95% CI=1.38, 1.97). The highest risk of developing acute pancreatitis occurred during the first 3 months after diagnosing pneumococcal pneumonia (crude HR 4.11, 95% CI 1.98, 8.52). After adjusted for potential confounders, the adjusted HR of acute pancreatitis was 1.51 (95% CI 1.25, 1.82) for the pneumonia group, as compared with the non-pneumonia group.

CONCLUSIONS

Overall, this study reveals a 51% increased hazard of acute pancreatitis following infection with pneumococcal pneumonia. Patients with pneumococcal pneumonia should receive close surveillance for risk of developing acute pancreatitis during the first 3 months after diagnosing pneumococcal pneumonia.

Do diagnosis-related group-based payments incentivise hospitals to adjust output mix?

This study investigates whether the diagnosis-related group (DRG)-based payment method motivates hospitals to adjust output mix in order to maximise profits. The hypothesis is that when there is an increase in profitability of a DRG, hospitals will increase the proportion of that DRG (own-price effects) and decrease those of other DRGs (cross-price effects), except in cases where there are scope economies in producing two different DRGs. This conjecture is tested in the context of the case payment scheme (CPS) under Taiwan's National Health Insurance programme over the period of July 1999 to December 2004. To tackle endogeneity of DRG profitability and treatment policy, a fixed-effects three-stage least squares method is applied. The results support the hypothesised own-price and cross-price effects, showing that DRGs which share similar resources appear to be complements rather substitutes. For-profit hospitals do not appear to be more responsive to DRG profitability, possibly because of their institutional characteristics and bonds with local communities. The key conclusion is that DRG-based payments will encourage a type of 'product-range' specialisation, which may improve hospital efficiency in the long run. However, further research is needed on how changes in output mix impact patient access and pay-outs of health insurance.

Lifting the weight of a diagnosis-related groups family change: a comparison between refined and non-refined DRG systems for top-down cost accounting and efficiency indicators

Public healthcare providers in all Spanish Regions - Autonomous Communities (ACs) use All Patients Diagnosis-Related Groups (AP-DRGs) for billing non-insured patients, cost accounting and inpatient efficiency indicators. A national migration to All Patients Refined Diagnosis-Related Groups (APR-DRGs) has been scheduled for 2016. The analysis was performed on 202,912 inpatient care episodes ranging from 2005 to 2010. All episodes were grouped using AP-DRG v25.0 and APR-DRG v24.0. Normalised DRG weight variations for an AP-DRG to APR-DRG migration scenario were calculated and compared. Major differences exist between normalised weights for inpatient episodes depending on the DRGs family used. The usage of the APR-DRG system in Spain without any adjustments, as it was developed in the United States, should be approached with care. In order to avoid reverse incentives and provider financial risks, coding practices should be reviewed and structural differences between DRG families taken into account.

Weighing up the weighted case mix tool (WCMT): a psychometric investigation using confirmatory factor analysis

OBJECTIVE

To assess the use of the WCMT in two Scottish health boards and to consider the impact of simplifying the tool to improve efficient use.

DESIGN

A retrospective analysis of routine WCMT data (47,276 cases).

CLINICAL SETTING

Public Dental Service (PDS) within NHS Lothian and Highland.

METHOD

The WCMT consists of six criteria. Each criterion is measured independently on a four-point scale to assess patient complexity and the dental care for the disabled/impaired patient. Psychometric analyses on the data-set were conducted. Conventional internal consistency coefficients were calculated. Latent variable modelling was performed to assess the 'fit' of the raw data to a pre-specified measurement model. A Confirmatory Factor Analysis (CFA) was used to test three potential changes to the existing WCMT that included, the removal of the oral risk factor question, the removal of original weightings for scoring the Tool, and collapsing the 4-point rating scale to three categories.

RESULTS

The removal of the oral risk factor question had little impact on the reliability of the proposed simplified CMT to discriminate between levels of patient complexity. The removal of weighting and collapsing each item's rating scale to three categories had limited impact on reliability of the revised tool. The CFA analysis provided strong evidence that a new, proposed simplified Case Mix Tool (sCMT) would operate closely to the pre-specified measurement model (the WMCT).

CONCLUSIONS

A modified sCMT can demonstrate, without reducing reliability, a useful measure of the complexity of patient care. The proposed sCMT may be implemented within primary care dentistry to record patient complexity as part of an oral health assessment.

Morbidity trends of elderly people registered in Croatian family practice: a longitudinal study based on routinely collected data

The research aim was to determine the overall morbidity trends in Croatian elderly population. The morbidity data recorded in family practice (FP) were extracted from Croatian Health Service Yearbooks for the years 1995-2012. The percentage of diagnoses in elderly people registered in FM was always higher then their shares in overall population, and with increased trend by 121%. The most frequently registered diagnostic groups were cardiovascular and neoplasms, followed by the groups of endocrine, urogenital and musculoskeletal diseases. The less frequently registered were the groups of infectious disease, injuries and ear diseases. However, the situation is somewhat different when looking at the amount of the increase. The Z codes increased the most, followed by endocrine diseases and neoplasms. Again, the less pronounced increase was observed in the groups of respiratory diseases, musculoskeletal, infectious diseases and injuries. The growing number of the older people and changing morbidity patterns will obviously influence both the entire society and the health care system. A new clinical and cost effective models of practice would be needed as well as the different models of personnel training.

Morbidity trends registered in Croatian family practice in the period 1995-2012

Monitoring changes and trend of morbidity is important to develop strategies and health care policies. Therefore, this study was undertaken with the main aim to investigate the overall morbidity trends recorded in Croatian family practice (FP) in period 1995-2012. The data were collected from the Croatian Health Service Yearbooks, 1995 to 2012. Obtained results clearly indicated that the number of patients, annually visiting FP was relatively stable while the number of diagnoses continuously increased, with average 2.1 diagnoses per patients in 1995 to 3.7 diagnoses in 2012. The most often registered are the groups of respiratory, cardiovascular and musculoskeletal diseases. Although all ICD-groups of diseases recorded an increase, some groups have more prominent increase: R diagnoses (symptoms and sings), C diagnoses (malignant), E diagnoses (endocrine and metabolic) and Z diagnoses (other reasons for FP encounter). For deeper understanding of the changes in the particular diagnoses the further research is needed.

Physician payment mechanisms, hospital length of stay and risk of readmission: evidence from a natural experiment

We provide an analysis of the effect of physician payment methods on their hospital patients' length of stay and risk of readmission. To do so, we exploit a major reform implemented in Quebec (Canada) in 1999. The Quebec Government introduced an optional mixed compensation (MC) scheme for specialist physicians working in hospital. This scheme combines a fixed per diem with a reduced fee for services provided, as an alternative to the traditional fee-for-service system. We develop a model of a physician's decision to choose the MC scheme. We show that a physician who adopts this system will have incentives to increase his time per clinical service provided. We demonstrate that as long as this effect does not improve his patients' health by more than a critical level, they will stay more days in hospital over the period. At the empirical level, we estimate a model of transition between spells in and out of hospital analog to a difference-in-differences approach. We find that the hospital length of stay of patients treated in departments that opted for the MC system increased on average by 4.2% (0.28 days). However, the risk of readmission to the same department with the same diagnosis does not appear to be overall affected by the reform.

Defining emergency department asthma visits for public health surveillance, North Carolina, 2008-2009

INTRODUCTION

When using emergency department (ED) data sets for public health surveillance, a standard approach is needed to define visits attributable to asthma. Asthma can be the first (primary) or a subsequent (2nd through 11th) diagnosis. Our study objective was to develop a definition of ED visits attributable to asthma for public health surveillance. We evaluated the effect of including visits with an asthma diagnosis in primary-only versus subsequent positions.

METHODS

The study was a cross-sectional analysis of population-level ED surveillance data. Of the 114 North Carolina EDs eligible to participate in a statewide surveillance system in 2008-2009, we used data from the 111 (97%) that participated during those years. Included were all ED visits with an ICD-9-CM diagnosis code for asthma in any diagnosis position (1 through 11). We formed 11 strata based on the diagnosis position of asthma and described common chief complaint and primary diagnosis categories for each. Prevalence ratios compared each category's proportion of visits that received either asthma- or cardiac-related procedure codes.

RESULTS

Respiratory diagnoses were most common in records of ED visits in which asthma was the first or second diagnosis, while primary diagnoses of injury and heart disease were more common when asthma appeared in positions 3-11. Asthma-related chief complaints and procedures were most common when asthma was the first or second diagnosis, whereas cardiac procedures were more common in records with asthma in positions 3-11.

CONCLUSION

ED visits should be defined as asthma-related when asthma is in the first or second diagnosis position.

Should inpatients be adjusted by their complexity and severity for efficiency assessment? Evidence from Portugal

Hospital efficiency analysis depends largely on the model specifications. This study discusses the importance of the case-mix index (CMI) to homogenize the sample of inpatient discharges. It proposes a new index where they are classified by service, since it is usual to have lack of data to compute the CMI and this can influence the credibility of results. Data from the Portuguese national diagnosis-related group (DRG) database was utilized. Three different approaches are developed in this paper, based on locally convex order-m method as well as on translog functions. The first one correlates the efficiency with different inpatients weighting schemes, by using the Nadaraya-Watson method. The second approach compares different frontiers that have been computed using the different weighting schemes. Finally, by using bootstrap, the paper investigates whether the inclusion of severity/ complexity-related variables in the model statistically modifies the results. It has been shown that, under the Portuguese healthcare framework, if the model is environment corrected (which should include epidemiological and main political/ structural health reforms variables), then the severity adjustment of inpatients is pointless. The employment of an inpatient-weighting scheme, such as the CMI, may introduce significant frontier shift, thus its absence is not recommended in productivity evolution analyzes. The CMI shifts the efficiency frontier, but not the relative position of units against it (the last scenario if exogenous variables are present).

[The DRG responsible physician in trauma and orthopedic surgery. Surgeon, encoder, and link to medical controlling]

BACKGROUND

Precise coding is an essential requirement in order to generate a valid DRG. The aim of our study was to evaluate the quality of the initial coding of surgical procedures, as well as to introduce our "hybrid model" of a surgical specialist supervising medical coding and a nonphysician for case auditing.

MATERIALS AND METHODS

The department's DRG responsible physician as a surgical specialist has profound knowledge both in surgery and in DRG coding. At a Level 1 hospital, 1000 coded cases of surgical procedures were checked.

RESULTS

In our department, the DRG responsible physician who is both a surgeon and encoder has proven itself for many years. The initial surgical DRG coding had to be corrected by the DRG responsible physician in 42.2% of cases. On average, one hour per working day was necessary.

CONCLUSION

The implementation of a DRG responsible physician is a simple, effective way to connect medical and business expertise without interface problems. Permanent feedback promotes both medical and economic sensitivity for the improvement of coding quality.