scholarly journals Rheumatoid Arthritis Surveillance in Ontario: Monitoring the Burden, Quality of Care and Patient Outcomes through Linkage of Administrative Health Data

2015 ◽  
Vol 18 (3) ◽  
pp. 7-10 ◽  
Author(s):  
Jessica Widdifield ◽  
Sasha Bernatsky ◽  
Claire Bombardier ◽  
Michael Paterson
Keyword(s):  
Rheumatoid Arthritis ◽  
Quality Of Care ◽  
Patient Outcomes ◽  
Health Data ◽  
Administrative Health Data

scholarly journals Validation study of German inpatient administrative health data for epidemiological surveillance and measurement of quality of care for sepsis: the OPTIMISE study protocol

BMJ Open ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. e035763
Author(s):  
Daniel Schwarzkopf ◽  
Carolin Fleischmann-Struzek ◽  
Peter Schlattmann ◽  
Heike Dorow ◽  
Dominique Ouart ◽  
...  
Keyword(s):  
Risk Factors ◽  
Quality Of Care ◽  
Gold Standard ◽  
Medical Records ◽  
Risk Model ◽  
Predictive Accuracy ◽  
Health Data ◽  
Epidemiological Surveillance ◽  
Administrative Health Data

IntroductionSepsis is a major cause of preventable deaths in hospitals. This study aims to investigate if sepsis incidence and quality of care can be assessed using inpatient administrative health data (IAHD).Methods and analysisDesign: Retrospective observational validation study using routine data to assess the diagnostic accuracy of sepsis coding in IAHD regarding sepsis diagnosis based on medical record review. Procedure: A stratified sample of 10 000 patients with an age ≥15 years treated in between 2015 and 2017 in 10 German hospitals is investigated. All available information of medical records is screened by trained physicians to identify true sepsis cases (‘gold standard’) both according to current (‘sepsis-1’) definitions and new (‘sepsis-3’) definitions. Data from medical records are linked to IAHD on patient level using a pseudonym. Analyses: Proportions of cases with sepsis according to sepsis-1 and sepsis-3 definitions are calculated and compared with estimates from coding of sepsis in IAHD. Predictive accuracy (sensitivity, specificity) of different coding abstraction strategies regarding the gold standard is estimated. Predictive accuracy of mortality risk factors obtained from IAHD regarding the respective risk factors obtained from medical records is calculated. An IAHD-based risk model for hospital mortality is compared with a record-based risk model regarding model-fit and predicted risk of death. Analyses adjust for sampling weights. The obtained estimates of sensitivity and specificity for sepsis coding in IAHD are used to estimate adjusted incidence proportions of sepsis based on German national IAHD.Ethics and disseminationThe study has been approved by the ethics commission of the Jena University Hospital (No. 2018-1065-Daten). The results of the study will be discussed in an expert panel to write a memorandum on improving the utility of IAHD for epidemiological surveillance and quality management of sepsis care.Trial registration numberDRKS00017775; Pre-results.

scholarly journals Can the adherence to quality of care indicators for early rheumatoid arthritis in clinical practice reduce risk of hospitalisation? Retrospective cohort study based on the Record Linkage of Rheumatic Disease study of the Italian Society for Rheumatology

BMJ Open ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. e038295
Author(s):  
Anna Zanetti ◽  
Carlo Alberto Scirè ◽  
Lisa Argnani ◽  
Greta Carrara ◽  
Antonella Zambon
Keyword(s):  
Rheumatoid Arthritis ◽  
Cohort Study ◽  
Quality Of Care ◽  
Retrospective Cohort Study ◽  
Lower Risk ◽  
Retrospective Cohort ◽  
Quality Standards ◽  
Standards Of Care ◽  
Adherence Score

ObjectiveTo describe the adherence to quality of care indicators in early rheumatoid arthritis (RA) and to evaluate its impact on the risk of hospitalisation in a real-world setting.DesignRetrospective cohort study.SettingPatients with early-onset RA identified from healthcare regional administrative databases by means of a validated algorithm between 2006 and 2012 in the Lombardy region (Italy).ParticipantsThe study cohort included 14 203 early-onset RA (71% female, mean age 60 years).Outcome measuresFor each patient, a summary adherence score was calculated starting from the compliance to six quality indicators: (1–2) methotrexate or sulfasalazine or leflunomide with/without glucocorticoids, (3–4) other disease-modifying antirheumatic drugs (DMARDs) with/without glucocorticoids, (5) early interruption of glucocorticoids, (6) early clinical assessment.The relationship between low, intermediate and high categories of the summary score and the 12-month risk of hospitalisation for all causes and for RA was assessed.ResultsDuring a follow-up of 1 year, 2609 hospitalisations occurred, of which 704 were for RA (main or secondary diagnosis) and 252 primarily for RA. In a 7-year period (2006–2012), early DMARDs and timely clinical monitoring treatment increased (from 52% to 62% p trend <0.001 and from 25% to 30% p trend 0.009, respectively).Intermediate and high summary adherence score categories (compared with the low category) were related significantly with a lower risk of hospitalisation (adjusted HR 0.85 (95% CI 0.77 to 0.93), p<0.001 and HR 0.76 (95% CI 0.69 to 0.84), p<0.001, respectively). Among the indicators of the adherence score, early DMARD prescription showed the strongest positive impact, while long-term use of glucocorticoids was the worst negative one.ConclusionIn early RA, adherence to quality standards of care is associated with a lower risk of hospitalisation. Future interventions to improve the adherence to quality standards of care in this setting should decrease the risk of hospitalisation with a significant impact on individual and population health.

scholarly journals Review: Relation Between Quality-of-Care Indicators for Diabetes and Patient Outcomes: A Systematic Literature Review

2011 ◽  
Vol 68 (3) ◽  
pp. 263-289 ◽  
Author(s):  
Grigory Sidorenkov ◽  
Flora M Haaijer-Ruskamp ◽  
Dick de Zeeuw ◽  
Henk Bilo ◽  
Petra Denig
Keyword(s):  
Quality Of Care ◽  
Literature Review ◽  
Patient Outcomes ◽  
Systematic Literature Review

scholarly journals A decision tool to improve the quality of care in rheumatoid arthritis

2012 ◽  
pp. n/a-n/a ◽  
Author(s):  
Liana Fraenkel ◽  
Ellen Peters ◽  
Peter Charpentier ◽  
Blair Olsen ◽  
Lanette Errante ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Quality Of Care ◽  
Decision Tool

scholarly journals Changing diabetes® barometer: A global quality monitoring framework for improving patient outcomes

2013 ◽  
Vol 01 (01) ◽  
pp. 044-047
Author(s):  
Pavika Jain ◽  
Niels Aamand
Keyword(s):  
Quality Of Care ◽  
Patient Outcomes ◽  
Diabetes Care ◽  
Best Practice ◽  
Diabetes Management ◽  
Global Perspective ◽  
Quality Monitoring ◽  
Good Practices ◽  
Quality Of Diabetes Care

This article has a global perspective and includes examples from several continents i.e. Latin America, Africa, Asia and Europe. The Changing Diabetes® Barometer (CDB) is a Novo Nordisk initiative that works as a worldwide quality monitoring system for diabetes management to measure the gains made in the fight against diabetes focusing on quality of care and patient outcomes. CDB provides a platform for countries to share local diabetes data and good practices. In doing so it aims to disseminate improved practices of care. CDB is conceptualised as a framework that can help change diabetes. Its three cornerstones are “Measure, Share, Improve” (MSI):• MEASURE the quality of diabetes care through patient outcomes and care processes.• SHARE data on the quality of diabetes care and good practices with all relevant stakeholders.• IMPROVE the quality of diabetes care by identifying and actively spreading good practices in diabetes care and inspire others to adopt and follow best practice examples.Italy and Algeria both constitute best practice examples of CDB initiatives. In Italy a registry solution is already solidly implemented and improvements in patient outcomes have been documented. The initiative in Algeria has recently been initiated including establishment of IT equipment in participating clinics to ensure all relevant measurements. This will enable transparency on current level of quality of diabetes care. Both initiatives have the common goal of driving improvements in quality of care and patient outcomes across clinics. India is another good example where data is collected through the CDB aimed at driving improvement of diabetes care in order to improve quality of life for people with diabetes. CDB in India is implemented in five states (Goa, Bihar, Gujarat, Puducherry and Andhra Pradesh) and is planned to be expanded to five additional states.

Studying physician effects on patient outcomes: Physician interactional style and performance on quality of care indicators

2006 ◽  
Vol 62 (2) ◽  
pp. 422-432 ◽  
Author(s):  
Peter Franks ◽  
Anthony F Jerant ◽  
Kevin Fiscella ◽  
Cleveland G Shields ◽  
Daniel J Tancredi ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Patient Outcomes ◽  
And Performance

Nurse Burnout, Nurse-Reported Quality of Care, and Patient Outcomes in Thai Hospitals

2015 ◽  
Vol 48 (1) ◽  
pp. 83-90 ◽  
Author(s):  
Apiradee Nantsupawat ◽  
Raymoul Nantsupawat ◽  
Wipada Kunaviktikul ◽  
Sue Turale ◽  
Lusine Poghosyan
Keyword(s):  
Quality Of Care ◽  
Patient Outcomes ◽  
Nurse Burnout

scholarly journals Integrating Patient-Generated Health Data in an Electronic Medical Record: Stakeholders’ Perspectives

2020 ◽  
Author(s):  
Katherine Blondon ◽  
Frederic Ehrler
Keyword(s):  
Patient Safety ◽  
Quality Of Care ◽  
Focus Group ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Health Data ◽  
Improve Quality

Patient-generated health data (PGHD), when shared with the provider, provides potential as an approach to improve quality of care. Based on interviews and a focus group with stakeholders involved in PGHD integration in the electronic medical record (EMR), we explore the benefits, barriers and possible risks. We propose solutions to address liability concerns, such as clarifying patient and provider expectations for the analyses of PGHD and emphasize considerations for future steps, which include the need to screen PGHD for patient safety.

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