Quality Of Care Indicators Research Articles

Association of quality-of-care indicators with asthma outcomes: An observational study for asthma care in Singapore

Introduction: Asthma guidelines have advocated for the use of quality-of-care indicators (QCIs) in asthma management. To improve asthma care, it is important to identify effective QCIs that are actionable. This study aimed to evaluate the effect of the presence of 3 QCIs: asthma education, Asthma Control Test (ACT) and spirometry testing on the time to severe exacerbation (TTSE). Method: Data collected from the SingHealth COPD and Asthma Data Mart (SCDM), including asthma patients managed in 9 SingHealth polyclinics and Singapore General Hospital from January 2015 to December 2020, were analysed. Patients receiving Global Initiative for Asthma (GINA) Steps 3–5 treatment, with at least 1 QCI recorded, and at least 1 severe exacerbation within 1 year before the first QCI record, were included. Data were analysed using multivariate Cox regression and quasi-Poisson regression models. Results: A total of 3849 patients in the registry fulfilled the criteria. Patients with records of asthma education or ACT assessment have a lower adjusted hazard ratio (HR) for TTSE (adjusted HR=0.88, P=0.023; adjusted HR=0.83, P<0.001). Adjusted HR associated with spirometry is higher (adjusted HR=1.22, P=0.026). No QCI was significantly associated with emergency department (ED)/inpatient visits. Only asthma education and ACT showed a decrease in the number of exacerbations for multivariate analysis (asthma education estimate: -0.181, P<0.001; ACT estimate: -0.169, P<0.001). No QCI was significant for the number of exacerbations associated with ED/inpatient visits. Conclusion: Our study suggests that the performance of asthma education and ACT was associated with increased TTSE and decreased number of exacerbations, underscoring the importance of ensuring quality care in clinical practice.

Development of care quality indicators for palliative care in China: A modified Delphi method study

ObjectiveWhile there are limited studies addressing palliative care quality in China, the availability of an effective set of care quality indicators is scarce. This study aimed to develop a comprehensive set of quality indicators for palliative care in China. MethodsConducting a systematic literature search across databases and guideline websites from inception to December 2020, combined with qualitative interviews, we established a preliminary pool of indicators. Subsequently, two rounds of Delphi expert consultation surveys were administered to 19 multidisciplinary experts (specializing in clinical nursing/medicine, nursing/medicine management, and health care administration, as well as those engaged in teaching and research) from 12 provinces in Mainland China (three each from North, East, and South China, and four from Central China) via email from March to June 2021. The analytic hierarchy process was employed to determine indicator weights. ResultsBoth rounds of expert consultation yielded a 100% positive coefficient, with expert authority coefficient values of 0.91 and 0.93, respectively. Kendall coefficient of concordance values for the two rounds were 0.148 and 0.253 (P < 0.001), indicating consensus among experts. Consequently, 71 quality indicators deemed important in the Chinese palliative care setting were identified, comprising 22 structure indicators, 35 process indicators, and 14 outcome indicators. ConclusionsThis study established an evidence-based set of quality indicators, addressing previously unmet needs and providing a novel approach to assessing and monitoring palliative care quality. Furthermore, ongoing refinement and integration with the evolving social context are warranted.

Perioperative patient safety recommendations: best practices derived from a systematic review and a multidisciplinary expert consensus

Abstract Surgery care has one of the highest pooled prevalence of preventable patient harm. Many clinical practice guidelines have been developed around the world to overcome this safety and public health concern. Moreover, clinical practice guideline (CPG) recommendations may efficiently provide a sound source of evidence-based practices for quality indicator development. However, the question is which healthcare processes should be measured. The “Improving quality and patient SAFEty in surgical care through STandardisation and harmonisation of perioperative care in Europe” (SAFEST) project aimed to reach a Europe-wide consensus on perioperative patient safety recommendations for adults that will be further transformed in quality measures and guide implementation activities. To achieve such a goal, a systematic review of CPGs was performed, identifying more than 250 CPGs and more than 2600 recommendations; eventually selected and synthesized into 99 recommendations. Then, we recruited an expert panel including organisations from the European Region, and focusing on a balanced representation of geographical location, clinical and non-clinical expertise, and gender. A two-round online Delphi was conducted, and a Consensus Conference was held in Brussels. During the entire process, some recommendations were reworded, separated, merged, added or removed. Additionally, feasibility and equity concerns emerged and were further explored in-person during the conference. Finally, a list of 101 perioperative patient safety recommendations was agreed. These evidence-based practices incorporate clinical and managerial experts’ considerations as well as patient representatives’ reflections. In conclusion, this presentation will explore the relationship between recommendations and quality of care indicators. We will discuss the usefulness of SAFEST evidence-based recommendations, and their pros and cons as process and structure quality measures.

Hospital mortality after acute myocardial infarction- really an indicator of quality of acute care?

Abstract Introduction ‘AMI 30-day-mortality using unlinked data’ is reported by OECD as indicator for quality of acute care. It relates to hospital mortality after acute myocardial infarction (AMI, ICD-10: I21-I22). AMI hospital mortality in Germany is among the highest in Europe - indicating major problems in quality of acute care. In contrast, Germany ranks high on health expenditure and availability of cardiologists and PCI facilities. We explain these contradictory findings. Methods Literature and public health reports on AMI patient characteristics, acute care, patient registration and healthcare organisation were reviewed. OECD indicators ‘AMI 30-day-mortality using unlinked data’ and ‘average length of stay after AMI’ for European countries were downloaded for 2000-2019. The trend in AMI hospital mortality was described graphically. The influence of average length of stay (LOS) on AMI mortality was assessed by linear regression. Results Since 2000, AMI hospital mortality fell strongly. In 2019, it was 2.9% in the Netherlands, 3.2% in Norway, but 8.5% in Germany. Different patient characteristics or therapies do not account for the differences in mortality, but health care organization: 1. Day cases are not always included in OECD source data; 2. Average LOS is associated with AMI hospital mortality (R2=0.58) and is itself influenced by patient transfer frequency and reimbursement policy; 3. In centralised health systems, AMI patient transfers are more frequent. These factors reduce the registered AMI deaths or increase the number of cases, all resulting in lower hospital mortality. Discussion AMI hospital mortality is highly influenced by factors that are not related to acute patient care, but to health care organization and patient registration rules. AMI registries reporting hospital mortality include selected AMI patient populations, which hampers valid comparisons. European sentinel registries are needed to validly describe quality of acute care and outcomes in AMI. Key messages • OECD indicator ‘AMI hospital mortality’ does not allow valid conclusions on quality of acute care. • AMI hospital mortality is strongly influenced by patient registration rules and healthcare organization, namely frequency of patient transfers and length of stay in hospital after AMI.

Assessing care quality: impact on renal outcomes in non-diabetic chronic kidney disease patients

Abstract Background Chronic kidney disease (CKD) is a major global noncommunicable disease, with significant burden on healthcare systems. Quality indicators (QIs) are useful tools for evaluating healthcare quality, but existing QIs for renal care mainly focus on dialysis population. This study aims to explore the association between quality of renal care and outcomes in non-diabetic CKD patients. Methods This study utilized Taiwan's National Health Insurance claims data and death registries to enroll non-diabetic adults with advanced CKD (stage 3B-5) from 2016 to 2019, following them through 2020. QIs evaluated included prescription of renin-angiotensin system (RAS) inhibitors, testing for proteinuria, and avoidance of nonsteroidal anti-inflammatory drugs (NSAIDs). An overall quality score was calculated by summing scores of each QI. The primary outcome was long-term dialysis, and secondary outcomes included death, acute kidney injury (AKI), hyperkalemia, and acidosis. Univariate and multivariate Cox proportional hazards models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of the effects of QIs on outcomes. Results Among 27,842 patients, 59.8% received RAS inhibitors, 56.5% underwent proteinuria testing, and NSAIDs were avoided in 97.9% of cases. Only 33.5% received the highest QI score of 3. Multivariate Cox proportional hazard models showed that higher overall quality scores were associated with a lower risk of long-term dialysis (HR 0.87, 95% CI 0.83-0.92), death (HR 0.90, 95% CI 0.86-0.94), and acidosis (HR 0.87, 95% CI 0.79-0.96). Additionally, higher overall quality scores were borderline associated with a lower risk of AKI and hyperkalemia. Conclusions QIs for renal care were associated with better outcomes in non-diabetic patients with advanced-stage CKD, particularly in long-term dialysis, death, and acidosis. More patients need to be prescribed RAS inhibitors and tested for proteinuria to achieve better quality of renal care. Key messages • Our study shows quality of renal care can impact outcomes for non-diabetic CKD patients, with higher quality indicator scores associated with lower risk of long-term dialysis, death, and acidosis. • Prescription of RAS inhibitors had the most significant protective effect, but more patients need to be prescribed RAS inhibitors and tested for proteinuria to achieve better renal care quality.

Exploring the ‘January effect’ at a university hospital in Pakistan: a retrospective cohort study investigating the impact of trainee turnover on patient care quality outcomes

ObjectiveThere are reports of a potential rise in a teaching hospital’s morbidity and mortality rates during the trainee turnover period, i.e., with the induction of new residents and house staffs, and the changeover of clinical teams. The published literature displays mixed reports on this topic with lack of reproducible observations. The current study was conducted to explore existence of any such phenomenon (January effect) in Pakistan.MethodsThis retrospective cohort study was conducted at Aga Khan University Hospital, Karachi, Pakistan. Five-year (2013–2018) record of all the patients in all age groups related to these outcomes was retrieved and recorded in specifically designed questionnaire. Different outcome measures were used as indicators of patient care and change in these outcomes at the time of new induction was related to possible January effect.ResultsDuring the five-year study period, more than 1100 new trainees were inducted into the post graduate medical education program (average of 237 per year) with more than 22,000 inpatient admissions (average of 45,469 per year). Some patterns were observed in frequencies of surgical site infections, medication errors, sentinel events, patient complaints, and adverse drug reactions. However, these were not consistently reproducible and could not be directly attributed to the trainee turnover. All other indicators did not show any pattern and were considered inconclusive. No effect of overlap was observed.ConclusionsInconsistency in the patient care quality indicators do not favor existence of January effect in our study. Further research is recommended to establish our results.

Erratum to “Acceptability of Australian prehospital care quality indicators: An explanatory sequential mixed methods study”

Erratum to “Acceptability of Australian prehospital care quality indicators: An explanatory sequential mixed methods study”

The Relationship Between Accurate Triage and Core Measures Compliance for Acute Myocardial Infarction and Heart Failure in Older Adults Presenting to the Emergency Department.

Accurate emergency department (ED) triage in the geriatric population is an important nurse-sensitive quality indicator; however, few quality indicators are verified for impact. To examine the relationship between triage accuracy in adults older than 65 years and Core Measures for acute myocardial infarction (AMI) and heart failure (HF). A correlational approach was used to determine strength and direction of the relationship between variables. Strong positive correlations were found between triage accuracy and mortality for AMI and HF, as well as with 30-day hospital readmissions for AMI. A weak negative correlation was found between triage accuracy and 30-day hospital readmissions for HF. Accurate triage can lead to a more effective care trajectory for patients, better adherence to Core Measures, and better outcomes. Accuracy in triage for AMI and HF is a valid indicator of ED quality care.

Quality outcomes for end-of-life care among people with haematological malignancies at a New Zealand cancer centre.

Little is known about the end-of-life (EOL) experience and specialist palliative care use patterns of patients with haematological malignancies (HMs) in New Zealand. This retrospective analysis sought to examine the quality of EOL care received by people with HMs under the care of Auckland District Health Board Cancer Centre's haematology service and compare it to international data where available. One hundred consecutive adult patients with HMs who died on or before 31 December 2019 were identified. We collected information on EOL care quality indicators, including anticancer treatment use and acute healthcare utilisation in the last 30 days of life, place of death and rate and timing of specialist palliative care input. During the final 14 and 30 days of life, 15% and 27% of the patients received anticancer therapy respectively. Within 30 days of death, 22% had multiple hospitalisations and 25% had an intensive care unit admission. Death occurred in an acute setting for 42% of the patients. Prior contact with hospital and/or community (hospice) specialist palliative care service was noted in 80% of the patients, and 67% had a history of hospice enrolment. Among them, 15% and 28% started their enrolment in their last 3 and 7 days of life respectively. The findings highlight the intensity of acute healthcare utilisation at the EOL and high rates of death in the acute setting in this population. The rate of specialist palliative care access was relatively high when compared with international experiences, with relatively fewer late referrals.

OECD indicator 'AMI 30-day mortality' is neither comparable between countries nor suitable as indicator for quality of acute care.

Hospital mortality after acute myocardial infarction (AMI, ICD-10: I21-I22) is used as OECD indicator of the quality of acute care. The reported AMI hospital mortality in Germany is more than twice as high as in the Netherlands or Scandinavia. Yet, in Europe, Germany ranks high in health spending and availability of cardiac procedures. We provide insights into this contradictory situation. Information was collected on possible factors causing the reported differences in AMI mortality such as prevalence of risk factors or comorbidities, guideline conform treatment, patient registration, and health system structures of European countries. International experts were interviewed. Data on OECD indicators 'AMI 30-day mortality using unlinked data' and 'average length of stay after AMI' were used to describe the association between these variables graphically and by linear regression. Differences in prevalence of risk factors or comorbidities or in guideline conform acute care account only to a smaller extent for the reported differences in AMI hospital mortality. It is influenced mainly by patient registration rules and organization of health care. Non-reporting of day cases as patients and centralization of AMI care-with more frequent inter-hospital patient transfers-artificially lead to lower calculated hospital mortality. Frequency of patient transfers and national reimbursement policies affect the average length of stay in hospital which is strongly associated with AMI hospital mortality (adj R2 = 0.56). AMI mortality reported from registries is distorted by different underlying populations. Most of the variation in AMI hospital mortality is explained by differences in patient registration and organization of care instead of differences in quality of care, which hinders cross-country comparisons of AMI mortality. Europe-wide sentinel regions with comparable registries are necessary to compare (acute) care after myocardial infarction.

Association of Delay in Breast Cancer Diagnosis With Survival in Addis Ababa, Ethiopia: A Prospective Cohort Study.

There are limited data on the association between delay in breast cancer diagnosis after breast symptom recognition and survival, particularly in sub-Saharan Africa. The recently launched Global Breast Cancer Initiative by WHO includes measuring delay as the core indicator for quality of breast cancer care. Herein, we examined the association between delay in breast cancer diagnosis with overall survival among women in Addis Ababa, Ethiopia. A total of 439 women diagnosed with breast cancer from January 1, 2017, to June 30, 2018, in Addis Ababa were followed for survival to the end of 2019. Survival rates were estimated using the Kaplan-Meier method. The association between delay in diagnosis (>3 months after symptom recognition) and overall survival was computed using the multivariable Cox regression model after adjusting for demographic and clinical factors. Nearly 70% (303/439) of women with breast cancer were delayed in diagnosis of their cancer. During a median follow-up period of 25.1 months, 2-year overall survival rate was 73.5% (95% CI, 68.0 to 78.2) in women with diagnosis delay compared with 79.1% (95% CI, 71.2 to 85.1) in those women without diagnosis delay. In the multivariable Cox regression model, the risk of death was 73% higher (hazard ratio, 1.73; 95% CI, 1.09 to 2.74) in women with diagnosis delay compared with those without diagnosis delay. Delay in diagnostic confirmation of breast cancer after recognition of breast symptoms was negatively associated with overall survival in Addis Ababa, Ethiopia, underscoring the need to increase awareness about the importance of prompt presentation for clinical evaluation and referral for diagnostic confirmation to mitigate the undue high burden of the disease.

Development of practice-based quality indicators for the primary care of older adults: a RAND/UCLA Appropriateness Method study protocol

IntroductionOlder adults have high rates of primary care utilisation, and quality primary care has the potential to address their complex medical needs. Family physicians have different levels of knowledge and...

Telemedicine and HIV Care Quality Measures During the COVID-19 Pandemic.

During the COVID-19 pandemic, telemedicine was adopted to ensure continuity of HIV care. We examined how introducing televisits affected technical quality of care for people with HIV (PWH) during this time. PWH receiving HIV care at Howard Brown Health Centers and Northwestern University in Chicago, Illinois were included. HIV care quality indicators were calculated using data extracted from electronic medical records during 4 timepoints every 6 months from March, March 1, 2020 to September 1, 2021. Generalized linear mixed models estimated differences in indicators across timepoints within each site while controlling for multiple observations of individuals. Generalized linear mixed models were also used to compare differences in outcomes among PWH who attended all versus a combination of in-person and televisits versus no televisits across the study time periods. 6447 PWH were included in the analysis. Compared with prepandemic levels, there were significant declines in care utilization and processes of care measures. Measures of HIV virologic suppression, blood pressure control, and HbA1C <7% (in both people with and without diabetes) were stable with no significant differences noted across the study timepoints. Similar trends were observed across all age, race, and sex subgroups. In multivariable models, televisits were not associated with decreased HIV viral suppression. During the COVID-19 pandemic and rapid implementation of televisits, indicators of care utilization and processes of care decreased compared with prepandemic levels. Among PWH who remained in care, televisits were not associated with worse virologic, blood pressure, and glycemic control in PWH.

Pharmaceutical Care Network Europe definition of quality indicators for pharmaceutical care: a systematic literature review and international consensus development

BackgroundOver the past 40 years, the tasks of pharmacists have shifted from logistic services to pharmaceutical care (PhC). Despite the increasing importance of measuring quality of care, there is no general definition of Quality Indicators (QIs) to measure PhC. Recognising this, a working group in a European association of PhC researchers, the Pharmaceutical Care Network Europe (PCNE), was established in 2020.AimThis research aimed to review existing definitions of QIs and develop a definition of QIs for PhC.MethodA two-step procedure was applied. Firstly, a systematic literature review was conducted to identify existing QI definitions that were summarised. Secondly, an expert panel, comprised of 17 international experts from 14 countries, participated in two surveys and a discussion using a modified Delphi technique to develop the definition of QIs for PhC.ResultsA total of 182 QI definitions were identified from 174 articles. Of these, 63 QI definitions (35%) cited one of five references as the source. Sixteen aspects that construct QI definitions were derived from the identified definitions. As a result of the Delphi study, the panel reached an agreement on a one-sentence definition of QIs for PhC: “quality indicators for pharmaceutical care are validated measurement tools to monitor structures, processes or outcomes in the context of care provided by pharmacists”.ConclusionBuilding upon existing definition of QIs, an international expert panel developed the PCNE definition of QIs for PhC. This definition is intended for universal use amongst researchers and healthcare providers in PhC.

A scoping review of heart failure transitional care quality indicators and outcomes for use in clinical care and research.

There are no accepted quality indicators for transitional care following hospitalization for heart failure (HF). Current quality measures focus on 30-day readmissions without accounting for competing risks such as death. In this scoping review of clinical trials, we aimed to develop a set of HF transitional care quality indicators for clinical or research applications following hospitalization for HF. We performed a scoping review using MEDLINE, Embase, CINAHL, HealthSTAR, reference lists and grey literature from January 1990 to November 2022. We included randomized controlled trials (RCTs) of adults hospitalized for HF who received a healthcare service or strategy intervention that aimed to improve patient-reported or clinical outcomes. We independently extracted data and performed a qualitative synthesis of the results. We generated a list of process, structure, patient-reported, and clinical measures that could be used as quality indicators. We highlighted process indicators that were associated with improved clinical outcomes and patient-reported outcomes that had high adherence to COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) and United States Federal Drug Administration (FDA) standards. From 42 RCTs included in the study, we identified a set of process, structure, patient-reported, and clinical indicators that could be used as transitional care measures in clinical or research settings. In this scoping review, we developed a list of quality indicators that could guide clinical efforts or serve as research endpoints in transitional care in HF. Clinicians, researchers, institutions, and policymakers can use the indicators to guide management, design research, allocate resources, and fund services that improve clinical outcomes.

Quality of Care for Prostate Cancer in Kashmir, India: A Real-World Study.

Purpose Despite the importance of quality care for patients with prostate cancer, significant gaps exist in healthcare delivery, including diagnosis and treatment. Our objective was to assess the quality of care (QoC) using retrospective data from prostate care patients in our center. Methods We performed a retrospective study of prostate cancer patients registered at a dedicated cancer care center in the Kashmir region from 2012 to 2020. A set of 15 quality indicators representing crucial facets of diagnosis, pathology, and treatment was identified from a comprehensive list developed and validated by other researchers. Results The final analysis of all indicators was conducted on 46 patients with a median age of 70 years (52-92 years). In the majority of patients, the diagnosis (89.1%) was made through a prostatic biopsy, while only five patients were diagnosed solely based on the prostate-specific antigen. Transrectal ultrasound (TRUS) or transurethral resection (TURP)-guided biopsy was documented in 84.8% of patients, with Gleason grading documented in 87.5% of patients. However, the number of positive cores was mentioned for only 25.7% of patients. Radical prostatectomy was the primary treatment for most patients with localized prostate cancer (58.3%). The majority of patients with metastatic prostate cancer were treated with orchidectomy (55%), owing to easy access and the lower cost of surgical castration. Conclusion The study demonstrated a lack of compliance with many QoC indicators at the diagnostic and therapeutic levels. However, large-scale, population-based studies are needed to establish the compliance of prostate cancer QoC in Kashmir. The quality indicator assessment can guide the necessary actions required to improve QoC for prostate cancer patients.

Impact of primary to secondary care data sharing on care quality in NHS England hospitals

Health information exchange (HIE) is seen as a key component of effective care but remains poorly evidenced at a health system level. In the UK National Health Service (NHS), the ability to share primary care data with secondary care clinicians is a focus of continued digital investment. In this study, we report the evolution of interoperable technology across a period of rapid digital transformation in NHS England from 2015 to 2019, and test association of primary to secondary care data-sharing capabilities with clinical care quality indicators across all acute secondary care providers (n = 135 NHS Trusts). In multivariable analyses, data-sharing capabilities are associated with reduction in patients breaching an Accident & Emergency (A&E) 4-h decision time threshold, and better patient-reported experience of acute hospital care quality. Using synthetic control analyses, we estimate mean 2.271% (STD+/−3.371) absolute reduction in A&E 4-h decision time breach, 12 months following introduction of data-sharing capabilities. Our findings support current digital transformation programmes for developing regional HIE networks but highlight the need to focus on implementation factors in addition to technological procurement.

Differences in trends in discharge location in a cohort of hospitalized patients with cancer and non-cancer diagnoses receiving specialist palliative care: A retrospective cohort study

Background: Patients with and without cancer are frequently hospitalized, and have specialist palliative care needs. In-hospital mortality can serve as a quality indicator of acute care. Trends in acute care outcomes have not previously been evaluated in patients with confirmed specialist palliative care needs or between diagnostic groups. Aim: To compare trends in discharge location between hospitalized patients with and without cancer who received specialist palliative care. Design: Retrospective cohort study. Association between diagnosis (cancer, non-cancer) and in-hospital mortality was assessed using multivariable logistic regression, controlling for demographic, clinical, and admission-specific information. Setting/participants: Patients who received specialist palliative care at an academic tertiary hospital in Toronto, Canada from 2013 to 2019. Results: The cohort comprised 6846 patients, 5024 with and 1822 without cancer. A higher proportion of patients without cancer had a Palliative Performance Scale score <30%, anticipated prognosis of <1 month, and were referred for end-of-life care (all p < 0.001). The adjusted odds of dying in hospital was 1.24-times higher among patients without cancer (95% CI: 1.05–1.46; p = 0.011). Though the proportion of patients without cancer who died in hospital decreased by 8.4% from 2013 to 2019, this proportion (41.2%) remained substantially higher compared to patients with cancer (14.0%) in 2019. Conclusions: Hospitalized patients without cancer were referred to specialist palliative care at a lower functional status, a poorer anticipated prognosis, and more likely for end-of-life care; and were more likely to die in hospital. Future studies are required to determine whether a proportion of hospital deaths in patients without cancer represent goal-discordant end-of-life care.

Comment on: Structural indicators of quality care for children undergoing emergency abdominal surgery.

Comment on: Structural indicators of quality care for children undergoing emergency abdominal surgery.

Comparing quality of breast cancer care in the Netherlands and Norway by federated propensity score analytics

PurposeThe aim of the study was to benchmark and compare breast cancer care quality indicators (QIs) between Norway and the Netherlands using federated analytics preventing transfer of patient-level data.MethodsBreast cancer patients (2017–2018) were retrieved from the Netherlands Cancer Registry and the Cancer Registry of Norway. Five European Society of Breast Cancer Specialists (EUSOMA) QIs were assessed: two on magnetic resonance imaging (MRI), two on surgical approaches, and one on postoperative radiotherapy. The QI outcomes were calculated using ‘Vantage 6’ federated Propensity Score Stratification (PSS). Likelihood of receiving a treatment was expressed in odds ratios (OR).ResultsIn total, 39,163 patients were included (32,786 from the Netherlands and 6377 from Norway). PSS scores were comparable to the crude outcomes of the QIs. The Netherlands scored higher on the QI ‘proportions of patients preoperatively examined with breast MRI’ [37% vs.17.5%; OR 2.8 (95% CI 2.7–2.9)], the ‘proportions of patients receiving primary systemic therapy examined with breast MRI’ [83.3% vs. 70.8%; OR 2.3 (95% CI 1.3–3.3)], and ‘proportion of patients receiving a single breast operation’ [95.2% vs. 91.5%; OR 1.8 (95% CI 1.4–2.2)]. Country scores for ‘immediate breast reconstruction’ and ‘postoperative radiotherapy after breast-conserving surgery’ were comparable. The EUSOMA standard was achieved in both countries for 4/5 indicators.ConclusionBoth countries achieved high scores on the QIs. Differences were observed in the use of MRI and proportion of patients receiving single surgery. The federated approach supports future possibilities on benchmark QIs without transfer of privacy-sensitive data.