Is the socioeconomic inequality in stroke prognosis changing over time and does quality of care play a role?

Introduction: In a publicly financed healthcare system we aimed to study the development in socioeconomic disparity in ischemic stroke outcomes over time. In addition, we study whether the healthcare system affects these outcomes through the quality of early stroke care when adjustments are made for various patient characteristics incl. comorbidity and stroke severity. Patients and methods: Using nationwide, detailed individual-level register-data we analysed how income-related and education-related inequality in 30-day mortality and 30-day readmission risk developed between 2003 and 2018. In addition, focusing on income-related inequality, we applied mediation analyses to estimate the mediating role of quality of acute stroke care on 30-day mortality and 30-day readmission. Results: A total of 97,779 individual ischemic stroke patients were registered in Denmark with a first ever stroke in the study period. Three-point-seven percent died within 30 days of their index-admission and 11.5% were readmitted within 30 days of discharge. The income-related inequality in mortality remained virtually unchanged over time from an RR of 0.53 (95% CI: 0.38; 0.74) in 2003-06 to RR 0.69 (95% CI: 0.53; 0.89)) in 2015-18 when high income was compared to low income (Family income-time interaction: RR 1.00 (95% CI: 0.98-1.03)). A similar but less uniform trend was found for the education-related inequality in mortality (Education-time interaction: RR 1.00 (95% CI: 0.97-1.04)). The income-related disparity in 30-day readmission was smaller than in 30-day mortality and it diminished over time from 0.70 (95% CI: 0.58; 0.83) to 0.97 (95% CI: 0.87; 1.10). The mediation analysis showed no systematic mediating effect of quality of care on neither mortality nor readmission. However, it cannot be ruled out that residual confounding may have washed out some mediating effects. Discussion and Conclusion: The socioeconomic inequality in stroke mortality and re-admission risk has yet to be eliminated. Additional studies from different settings are warranted in order to clarify the impact of socioeconomic inequality of quality of acute stroke care.

Index-Based Inequality in Quality of Care: An Empirical Comparison of Apples and Pears.

PURPOSE: Socioeconomic inequalities have been studied for decades using a variety of methods, but limited attention has been paid to the way methodological differences influence research findings. We aimed to compare index-based measures of socioeconomic inequality in quality of care. PATIENTS AND DATA: A national cohort of 110,848 unique stroke patients admitted to publicly funded hospitals in Denmark from 2004-2014 was studied. We used individual-level data from national registers and the Danish Stroke Registry. Quality of care was defined as fulfilment of process performance measures based on clinical guidelines recommendations (range 0-100%). Socioeconomic position was operationalised using information on disposable family income (continuous, DKK) and education (categorical, 7 levels). METHODS: Income- and education-related inequality in quality of care was assessed using concentration indices and the slope index of inequality. All indices were estimated both in absolute and relative terms. RESULTS: Income-related inequality appeared to be generally higher than education-related inequality. Depending on the choice of index, the inequality in quality of care increased by 5% or declined by up to 43% during the study period. Unlike the concentration indices the slope index of inequality was highly sensitive to changes in how the income and educational levels were operationalised. CONCLUSION: Careful reporting and interpretation of inequality studies is warranted in order not to misguide decision makers. Unless the policy objective reflects an explicit focus on one specific type of inequality, the use of different inequality indices can lead to different conclusions.

Socioeconomic Status And Acute Stroke Care: Has The Inequality Gap Been Closed?

PURPOSE: Socioeconomic inequality in stroke care occurs even in countries with free access to health care. We aimed to investigate the association between socioeconomic status and guideline-recommended acute care in Denmark during the last decade. DESIGN: We conducted a nationwide, population-based study. We used household income, employment status, and education as markers of socioeconomic status and adjusted the results for relevant clinical covariates. We used weighted linear regression models to analyse empirical log odds of performance measure fulfillment at patient level. SETTING: Public hospitals in Denmark. PARTICIPANTS: A total of 110,848 consecutive stroke patients discharged between 2004 and 2014. INTERVENTIONS: Acute stroke care according to clinical guidelines. MAIN OUTCOME MEASURES: Guideline-recommended care was defined in two ways based on clinical performance measures: the percentage of fulfilled measures used throughout the study period (m=8) (model 1) and the percentage of fulfilled measures used at the time of discharge (m=8 to 16) (model 2). RESULTS: Compared with high family income, low income was negatively associated with the guideline-recommended care; odds ratios (95% CI) were 0.89 (0.85-0.93) in model 1 and 0.81 (0.77-0.85) in model 2. Low family income was negatively associated with fulfillment of 14 of the 16 performance measures. In general, the percentage of performance measures fulfilled increased over time from 70% (95% CI 63-76) to 85% (95% CI 83-87). CONCLUSION: Socioeconomic inequality in guideline-recommended stroke care remains despite overall improvements in a setting with free access to care and systematic monitoring of health care quality.

Health care cost consequences of using robot technology for hysterectomy: a register-based study of consecutive patients during 2006-2013.

The objective of this study is to examine the costs attributable to robotic-assisted laparoscopic hysterectomy from a broad healthcare sector perspective in a register-based longitudinal study. The population in this study were 7670 consecutive women undergoing hysterectomy between January 2006 and August 2013 in public hospitals in Denmark. The interventions in the study were total and radical hysterectomy performed robotic-assisted laparoscopic hysterectomy (RALH), total laparoscopic hysterectomy (TLH), or open abdominal hysterectomy (OAH). Service use in the healthcare sector was evaluated 1 year before to 1 year after the surgery. Tariffs of the activity-based remuneration system and the diagnosis-related grouping case-mix system were used for valuation of primary and secondary care, respectively. Costs attributable to RALH were estimated using a difference-in-difference analytical approach and adjusted using multivariate linear regression. The main outcome measure was costs attributable to OAH, TLH, and RALH. For benign conditions RALH generated cost savings of € 2460 (95% CI 845; 4075) per patient compared to OAH and non-significant cost savings of € 1045 (95% CI -200; 2291) when compared with TLH. In cancer patients RALH generated cost savings of 3445 (95% CI 415; 6474) per patient when compared to OAH and increased costs of € 3345 (95% CI 2348; 4342) when compared to TLH. In cancer patients undergoing radical hysterectomy, RALH generated non-significant extra costs compared to OAH. Cost consequences were primarily due to differences in the use of inpatient service. There is a cost argument for using robot technology in patients with benign disease. In patients with malignant disease, the cost argument is dependent on comparator.

Robot-assisted surgery in a broader healthcare perspective: a difference-in-difference-based cost analysis of a national prostatectomy cohort.

OBJECTIVE: To estimate costs attributable to robot-assisted laparoscopic prostatectomy (RALP) as compared with open prostatectomy (OP) and laparoscopic prostatectomies (LP) in a National Health Service perspective. PATIENTS AND METHODS: Register-based cohort study of 4309 consecutive patients who underwent prostatectomy from 2006 to 2013 (2241 RALP, 1818 OP and 250 LP). Patients were followed from 12 months before to 12 months after prostatectomy with respect to service use in primary care (general practitioners, therapists, specialists etc) and hospitals (inpatient and outpatient activity related to prostatectomy and comorbidity). Tariffs of the activity-based remuneration system for primary care and the Diagnosis-Related Grouping case-mix system for hospital-based care were used to value service use. Costs attributable to RALP were estimated using a difference-in-difference analytical approach and adjusted for patient-level and hospital-level risk selection using multilevel regression. RESULTS: No significant effect of RALP on resource-use was observed except for a marginally lower use of primary care and fewer bed days as compared with OP (not LP). The overall cost consequence of RALP was estimated at an additional €2459 (95% CI 1377 to 3540, p=0.003) as compared with OP and an additional €3860 (95% CI 559 to 7160, p=0.031) as compared with LP, mainly due to higher cost intensity during the index admissions. CONCLUSIONS: In this study from the Danish context, the use of RALP generates a factor 1.3 additional cost when compared with OP and a factor 1.6 additional cost when compared with LP, on average, based on 12 months follow-up. The policy interpretation is that the use of robots for prostatectomy should be driven by clinical superiority and that formal effectiveness analysis is required to determine whether the current and eventual new purchasing of robot capacity is best used for prostatectomy.