Diagnosis Related Groups Classification System Research Articles

Twice‐Weekly Structured Interdisciplinary Bedside Rounds and Falls among Older Adult Inpatients

Ineffective interdisciplinary communication has negative impacts on patient outcomes. The use of regular structured interdisciplinary bedside rounds (SIBR), where each patient interaction lasts 3-5 minutes, is a model of care that improves interdisciplinary communication. We evaluated the impact of SIBR on in-hospital falls. Prospective before-after study of older people hospitalized with acute illness. Two side-by-side aged care wards in a university hospital in Sydney, Australia. A total of 3,673 consecutive inpatients of mean age 83.8 ± 7.7 years, with 1,703 before SIBR compared with 1,970 after SIBR. No patients were excluded from potential participation. Twice-weekly SIBR. Falls data were manually extracted from a mandatory institutional incident reporting database. Medical diagnoses were based on the Australian Refined Diagnosis Related Groups classification system. Injuries due to falls were corroborated using the institutional electronic medical record (Cerner PowerChart). Generalized estimating equations were used to evaluate the incidence rate ratio (IRR) of falls and fall-related injuries. A negative binomial distribution and a logarithmic link function were used to linearize regression equations. After SIBR, there were 7.4 falls per 1,000 occupied bed days (OBD), compared with 10.6 falls per 1,000 OBD before SIBR (P < .001). The implementation of SIBR reduced falls (IRR = 0.67, 95% CI = 0.52-0.85), after adjusting for age, gender, cognitive impairment, behavioral and psychological symptoms of dementia, deconditioning and frailty, but not fall-related injuries (IRR = 0.79, 95% CI = 0.52-1.20). This study is the first to investigate the effect of SIBR on in-hospital falls. It provides evidence that a sustainable, twice-weekly intervention is associated with a reduction in falls. It has the potential to be used in other settings where falls are frequent.

Hospitalization for Primary Care-Sensitive Conditions in Adults and Its Impact on Hospital Care in São Paulo City, Brazil.

Identifying conditions among all cause hospitalizations that could be prevented at the primary care level would allow the development of strategies to reduce the range of diseases treated in hospital and promote a more efficient utilization of resources. We sought to evaluate hospitalizations for clinical conditions that are sensitive to primary care in adults. Cross-sectional study with data captured in hospital electronic health records using the diagnosis related groups classification system. Primary care-sensitive conditions were associated with longer duration of hospitalization, older age, higher prevalence of female patients, higher complexity at admission and during hospitalization, and a higher risk of mortality as compared with other conditions not sensitive to primary care. A significant proportion of hospitalizations are due to causes sensitive to primary care. Hospitalizations due to primary care-sensitive conditions are associated with longer hospital stay, greater complexity and severity, and a higher risk of mortality.

Challenges and Adverse Outcomes of Implementing Reimbursement Mechanisms Based on the Diagnosis-Related Group Classification System: A systematic review.

In health insurance, a reimbursement mechanism refers to a method of third-party repayment to offset the use of medical services and equipment. This systematic review aimed to identify challenges and adverse outcomes generated by the implementation of reimbursement mechanisms based on the diagnosis-related group (DRG) classification system. All articles published between 1983 and 2017 and indexed in various databases were reviewed. Of the 1,475 articles identified, 36 were relevant and were included in the analysis. Overall, the most frequent challenges were increased costs (especially for severe diseases and specialised services), a lack of adequate supervision and technical infrastructure and the complexity of the method. Adverse outcomes included reduced length of patient stay, early patient discharge, decreased admissions, increased re-admissions and reduced services. Moreover, DRG-based reimbursement mechanisms often resulted in the referral of patients to other institutions, thus transferring costs to other sectors.

Serological, genetic and clinical associations with increased health‐care resource utilization in inflammatory bowel disease

Inflammatory bowel diseases (IBD) are associated with significant morbidity and economic burden. The variable course of IBD creates a need for predictors of clinical outcomes and health resource utilization (HRU) to guide treatment decisions. We aimed to identify clinical, serological or genetic markers associated with inpatient resource utilization in patients with ulcerative colitis (UC) and Crohn's disease (CD). Patients with IBD with available genetic and serological data who had at least one emergency department visit or hospitalization in a 3-year period were included. The primary outcome measure was HRU, as measured by the All Patient Refined Diagnosis Related Group classification system. Univariate and multivariate linear and logistic regression models were used to identify the associations with HRU. Altogether 858 (562 CD and 296 UC) patients were included. Anti-CBir1 seropositivity (P = 0.002, effect size [ES]: 0.762, 95% confidence interval [CI] 0.512-1.012) and low socioeconomic status (P = 0.005, ES: 1.620 [95% CI 1.091-2.149]) were independently associated with a high HRU. CD diagnosis (P = 0.006, ES: -0.701 [95% CI -0.959 to -0.443]) was independently associated with a low inpatient HRU. In patients with IBD who required at least one emergency department visit or hospitalization, anti-CBir1 antibody status may be a useful biomarker of HRU when formulating management strategies to reduce disease complications and resource utilization.

Effect of severity of illness on cesarean delivery rates in Washington State

Hospitals and providers are increasingly held accountable for their cesarean delivery rates. In the perinatal quality improvement arena, there is vigorous debate about whether all hospitals can be held to the same benchmark for an acceptable cesarean rate regardless of patient acuity. However, the causes of variation in hospital cesarean delivery rates are not well understood. We sought to evaluate the association and temporal trends between severity of illness at admission and the primary term singleton vertex cesarean delivery rate among hospitals in Washington State. We hypothesized that hospitals with higher patient acuity would have higher cesarean delivery rates and that this pattern would persist over time. In this cross-sectional analysis, we analyzed aggregate hospital-level data for all nonmilitary hospitals in Washington State with ≥100 deliveries/y during federal fiscal years 2010 through 2014 (287,031 deliveries). Data were obtained from the Washington State Comprehensive Hospital Abstract Reporting System, which includes inpatient demographic, diagnosis, procedure, and discharge information derived from hospital billing systems. Age, admission diagnoses and procedure codes were converted to patient-level admission severity-of-illness scores using the All Patient Refined Diagnosis Related Groups classification system. This system is widely used throughout the United States to adjust hospital data for severity of illness. Mean admission hospital-level severity-of-illness scores were calculated for each fiscal year among the term singleton vertex population with no history of cesarean delivery. We used linear regression to evaluate the association between hospital admission severity of illness and the primary term singleton vertex cesarean delivery rate, calculated Pearson correlation coefficients, and compared regression line slopes and 95% confidence intervals for each fiscal year. Hospitals were diverse with respect to delivery volume, level of care, and geographic location within Washington. Hospital aggregate admission severity-of-illness score correlated with primary term singleton vertex cesarean delivery rate in all fiscal years (R2 0.38-0.58, P < .001). For every year in the study interval, as admission severity of illness increased so did the primary term singleton vertex cesarean rate. The slope of the regression line decreased during the study interval, suggesting that statewide decrease in primary term singleton vertex cesarean rate occurred across the range of severity of illness. Admission severity-of-illness score is strongly associated with the primary term singleton vertex cesarean delivery rate among hospitals in Washington State. Approximately 50% of variation in hospital primary term singleton vertex cesarean delivery rates appeared to be related to admission severity of illness. This relationship persisted over time despite a statewide decrease in cesarean delivery, suggesting that patient acuity will likely continue to contribute to hospital variation in cesarean delivery rates despite perinatal quality improvement efforts. The major implication of this study is that patient acuity should be considered when determining optimal cesarean delivery rates. High-acuity hospitals are likely to have high cesarean rates because they provide a specific role in serving regional needs. To hold these centers to an arbitrary benchmark may jeopardize the funding necessary to support regional safety net institutions.

Accuracy of the All Patient Refined Diagnosis Related Groups Classification System in Congenital Heart Surgery

Administrative data are increasingly used to evaluate clinical outcomes and quality of care in pediatric congenital heart surgery (CHS) programs. Several published analyses of large pediatric administrative data sets have relied on the All Patient Refined Diagnosis Related Groups (APR-DRG, version 24) diagnostic classification system. The accuracy of this classification system for patients undergoing CHS is unclear. We performed a retrospective cohort study of all 14,098 patients 0 to 5 years of age undergoing any of six selected congenital heart operations, ranging in complexity from isolated closure of a ventricular septal defect to single-ventricle palliation, at 40 tertiary-care pediatric centers in the Pediatric Health Information Systems database between 2007 and 2010. Assigned APR-DRGs (cardiac versus noncardiac) were compared using χ2 or Fisher's exact tests between those patients admitted during the first day of life versus later and between those receiving extracorporeal membrane oxygenation support versus those not. Recursive partitioning was used to assess the greatest determinants of APR-DRG type in the model. Every patient admitted on day 1 of life was assigned to a noncardiac APR-DRG (p<0.001 for each procedure). Similarly, use of extracorporeal membrane oxygenation was highly associated with misclassification of CHS patients into a noncardiac APR-DRG (p<0.001 for each procedure). Cases misclassified into a noncardiac APR-DRG experienced a significantly increased mortality (p<0.001). In classifying patients undergoing CHS, APR-DRG coding has systematic misclassifications, which may result in inaccurate reporting of CHS case volumes and mortality.

Changing Patient Classification System for Hospital Reimbursement in Romania

To evaluate the effects of the change in the diagnosis-related group (DRG) system on patient morbidity and hospital financial performance in the Romanian public health care system. Three variables were assessed before and after the classification switch in July 2007: clinical outcomes, the case mix index, and hospital budgets, using the database of the National School of Public Health and Health Services Management, which contains data regularly received from hospitals reimbursed through the Romanian DRG scheme (291 in 2009). The lack of a Romanian system for the calculation of cost-weights imposed the necessity to use an imported system, which was criticized by some clinicians for not accurately reflecting resource consumption in Romanian hospitals. The new DRG classification system allowed a more accurate clinical classification. However, it also exposed a lack of physicians' knowledge on diagnosing and coding procedures, which led to incorrect coding. Consequently, the reported hospital morbidity changed after the DRG switch, reflecting an increase in the national case-mix index of 25% in 2009 (compared with 2007). Since hospitals received the same reimbursement over the first two years after the classification switch, the new DRG system led them sometimes to change patients' diagnoses in order to receive more funding. Lack of oversight of hospital coding and reporting to the national reimbursement scheme allowed the increase in the case-mix index. The complexity of the new classification system requires more resources (human and financial), better monitoring and evaluation, and improved legislation in order to achieve better hospital resource allocation and more efficient patient care.

Economic evaluation of haemodialysis. Analysis of cost components based on patient-specific data

Hemodialysis (HD) cost analysis provides information about the economic impact of the disease on the community. Its knowledge is crucial to adequate and optimize health resources. Our aim was to study sanitary and non-sanitary direct costs of HD, based on patients individual data. Furthermore, the effect of sociocultural factors and comorbidity on costs was evaluated. Retrospective and observational study of prevalence costs produced during one year of HD therapy. All patients from North Health District of Tenerife province (Canary Islands, Spain) included for at least 3 months on HD were considered for the study. Sociodemographic parameters and comorbidity data were collected from a generic individual survey and reviewing database records. Direct sanitary and non-sanitary costs were organized in 6 categories: HD sessions, medication costs, hospitalization costs (evaluated by Diagnosis-Related Groups classification system), outpatient care (including consultation and complementary studies); healthcare material and patient transportation. Finally, 161 patients were included (63 +/- 16 years, 63% males, 38% diabetics). Of note, the proportions of sociocultural deprivation was high among this population (75-85% did not complete first school and had non-qualified jobs). Mean cost of global therapy was 43,070 +/- 13,932 euro. Proportional allocation of costs was as follow: HD sesion 51%, pharmacy 27%, hospitalization 17%, transportation 3% and ambulatory care 2%. There was no association between sociocultural profile, comorbidity and therapy cost. This is the first study of HD costs, itemized by components of expenses, based in individual data and introducing GRD model for hospitalization cost. The highest expenses corresponded to HD sessions and medication (79%), both very homogeneous to this patient population. The saving in economic terms should be, fundamentally, the prevention of CKD.

Predicting the cost of hospital stay for stroke patients: the use of diagnosis related groups

In order to provide tailor-made care, governments are considering the implementation of output-pricing based on hospital case-mix measures, such as diagnosis related groups (DRG). The question is whether the current DRG classification system can provide a satisfactory prediction of the variance of costs in stroke patients and if not, in what way other variables may enhance this prediction. In this study, data from 731 stroke patients hospitalized at University Hospital Maastricht during 1996–1998 are used in the cost analysis. The DRG classification for this group uses information—in addition to the DRG classification operation or no operation—on the patient's age combined with discharge status. The results of regression analysis show that using DRGs, the variance explained in the costs amounts to 34%. Adding other variables to the DRGs, the variance explained increases to about 61%. Additional factors highly correlating with inpatient costs are the level of functioning after stroke, comorbidity, complications, and ‘days of stay for non-medical reasons’. Costs decreased for stroke patients discharged during the latter part of the years studied, and if stroke patients happened to die during their hospital stay. The results do suggest that future implementation of output-pricing based on the DRG case-mix measures is feasible for stroke patients only if it is enhanced with information on complications and the level of functioning.

Gastroenterology, Diagnosis-Related Groups, and Age

Hospitals are now being reimbursed by a prospective Diagnosis-Related Group (DRG) classification system. There have been no major changes in the Federal Medicare DRG classification system since its inception 5 years ago. In this project, we analyzed all gastrointestinal (GI) medicine admissions by age and resource utilization at a large academic medical center. Total hospital costs for the 3,598 GI patients (January 1, 1985, through December 31, 1987) were $18,460,604. Although DRG reimbursement for all patients for the 3-year period would have generated an aggregate profit of $957,760, four out of five age categories of patients 65 years of age and above would have generated losses; the highest loss was for patients 85 years and over, at $2,235 per patient. Older GI patients (i.e., 65 years and over) had higher hospital costs, longer lengths of stay, more diagnoses and procedures per patient, and a higher mortality rate than younger patients. Both intensive care unit (ICU) and blood utilization rose with age. Thus, older GI patients consumed a disproportionately larger share of hospital resources. Our study suggests that the current DRG reimbursement scheme may be inequitable relative to the older GI medicine patient; financial disincentives from DRGs may affect elderly patients' access to and quality of care in the future.

Do Frail, Disabled, Poor, and Very Old Medicare Beneficiaries Have Higher Hospital Charges?

To determine whether basing payments on diagnosis related groups (DRGs) results in mispayment for certain classes of patients, we examined the relation between total Medicare charges per hospitalization and eight beneficiary characteristics (including admission from a nursing home, extreme age, Medicaid enrollment, and disability). We controlled for the hospital in which care was given and the DRG to which the discharge was assigned. The largest effects were that average charges were 6.7% higher for beneficiaries who were disabled before the age of 65 years, and 6.2% higher for patients admitted from a nursing home; charges were 1.5% lower for Medicare beneficiaries who were also enrolled in Medicaid, 3.8% higher for those older than 80 years, and 1.3% lower for those older than 85 years compared with those aged from 80 to 84 years. Because these differences are very small compared with the average variation within DRGs, we conclude that using these beneficiary characteristics in the DRG classification system would only slightly improve DRGs. Medicare's DRG-based payments seem to be substantially equitable with regard to these beneficiary characteristics.