INSTITUTIONAL LAYERING IN GOVERNING HEALTHCARE QUALITY

2013 ◽  
Vol 92 (1) ◽  
pp. 208-223 ◽  
Author(s):  
HESTER M. VAN DE BOVENKAMP ◽  
MARLEEN DE MUL ◽  
JULIA G.U. QUARTZ ◽  
ANNE MARIE J.W.M. WEGGELAAR-JANSEN ◽  
ROLAND BAL
Keyword(s):  
Healthcare Quality ◽  
Institutional Layering

scholarly journals Cell Population Data and Serum Polyclonal Immunoglobulin Free Light Chains in the Assessment of COVID-19 Severity

Viruses ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1381
Author(s):  
Milena Małecka-Giełdowska ◽  
Maria Fołta ◽  
Agnieszka Wiśniewska ◽  
Emilia Czyżewska ◽  
Olga Ciepiela
Keyword(s):  
Nucleic Acid ◽  
Serum Concentration ◽  
Odds Ratio ◽  
Healthcare Quality ◽  
Reference Value ◽  
Population Data ◽  
Light Chains ◽  
Nucleic Acid Content ◽  
Free Light Chains ◽  
Polyclonal Immunoglobulin

Distinguishing between severe and nonsevere COVID-19 to ensure adequate healthcare quality and efficiency is a challenge for the healthcare system. The aim of this study was to assess the usefulness of CBC parameters together with analysis of FLC serum concentration in risk stratification of COVID-19. Materials and methods: CBC was analyzed in 735 COVID ICU, COVID non-ICU, and non-COVID ICU cases. FLC concentration was analyzed in 133 of them. Results: COVID ICU had neutrophils and lymphocytes with the greatest size, granularity, and nucleic acid content. Significant differences in concentrations of κ and λ FLCs were shown between COVID ICU and COVID non-ICU. However, no difference was found in the κ/λ ratio between these groups, and the ratio stayed within the reference value, which indicates the presence of polyclonal FLCs. FLC κ measurement has significant power to distinguish between severe COVID-19 and nonsevere COVID-19 (AUC = 0.7669), with a sensitivity of 86.67% and specificity of 93.33%. The κ coefficients’ odds ratio of 3.0401 was estimated. Conclusion: It can be concluded that the results obtained from the measure of free light immunoglobulin concentration in serum are useful in distinguishing between severe and nonsevere COVID-19.

New clinical performance measures for contraceptive care: their importance to healthcare quality

Contraception ◽  
2017 ◽  
Vol 96 (3) ◽  
pp. 149-157 ◽  
Author(s):  
Loretta Gavin ◽  
Brittni Frederiksen ◽  
Cheryl Robbins ◽  
Karen Pazol ◽  
Susan Moskosky
Keyword(s):  
Performance Measures ◽  
Clinical Performance ◽  
Healthcare Quality

scholarly journals Enhancing the healthcare quality improvement storyboard using photovoice

2020 ◽  
Vol 9 (4) ◽  
pp. e001104
Author(s):  
Pamela Mathura ◽  
Miriam Li ◽  
Natalie McMurtry ◽  
Narmin Kassam
Keyword(s):  
Quality Improvement ◽  
Healthcare Quality ◽  
Healthcare Quality Improvement

Implementation Science: Application of Evidence‐Based Practice Models to Improve Healthcare Quality

2021 ◽  
Vol 18 (2) ◽  
pp. 76-84
Author(s):  
Sharon Tucker ◽  
Molly McNett ◽  
Bernadette Mazurek Melnyk ◽  
Kirsten Hanrahan ◽  
Sarah C. Hunter ◽  
...  
Keyword(s):  
Implementation Science ◽  
Evidence Based Practice ◽  
Healthcare Quality ◽  
Evidence Based ◽  
Practice Models ◽  
Science Application

scholarly journals Strategies for developing and implementing a rheumatoid arthritis healthcare quality framework: a thematic analysis of perspectives from arthritis stakeholders

BMJ Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. e043759
Author(s):  
Claire Barber ◽  
Diane Lacaille ◽  
Marc Hall ◽  
Victoria Bohm ◽  
Linda C Li ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Focus Groups ◽  
Thematic Analysis ◽  
Outcome Measurement ◽  
Healthcare Providers ◽  
Healthcare Quality ◽  
Quality Measurement ◽  
Measurement Development ◽  
Business World ◽  
Measurement Framework

ObjectivesTo obtain stakeholder perspectives to inform the development and implementation of a rheumatoid arthritis (RA) healthcare quality measurement framework.DesignQualitative study using thematic analysis of focus groups and interviews.SettingArthritis stakeholders from across Canada including healthcare providers, persons living with RA, clinic managers and policy leaders were recruited for the focus groups and interviews.ParticipantsFifty-four stakeholders from nine provinces.InterventionsQualitative researchers led each focus group/interview using a semistructured guide; the digitally recorded data were transcribed verbatim. Two teams of two coders independently analysed the transcripts using thematic analysis.ResultsPerspectives on the use of different types of measurement frameworks in healthcare were obtained. In particular, stakeholders advocated for the use of existing healthcare frameworks over frameworks developed in the business world and adapted for healthcare. Persons living with RA were less familiar with specific measurement frameworks, however, they had used existing online public forums for rating their experience and quality of healthcare provided. They viewed a standardised framework as potentially useful for assisting with monitoring the care provided to them individually. Nine guiding principles for framework development and 13 measurement themes were identified. Perceived barriers identified included access to data and concerns about how measures in the framework were developed and used. Effective approaches to framework implementation included having sound knowledge translation strategies and involving stakeholders throughout the measurement development and reporting process. Clinical models of care and health policies conducive to outcome measurement were highlighted as drivers of successful measurement initiatives.ConclusionThese important perspectives will be used to inform a healthcare quality measurement framework for RA.

scholarly journals A methodology of healthcare quality measurement: a case study

2015 ◽  
Vol 588 ◽  
pp. 012027 ◽  
Author(s):  
F Pecoraro ◽  
D Luzi ◽  
M Cesarelli ◽  
F Clemente
Keyword(s):  
Healthcare Quality ◽  
Quality Measurement

Finding the best examples of healthcare quality improvement in Sub-Saharan Africa

2010 ◽  
Vol 19 (5) ◽  
pp. 416-419 ◽  
Author(s):  
C. Liu ◽  
J. Babigumira ◽  
A. Chiunda ◽  
A. Katamba ◽  
I. Litvak ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Healthcare Quality ◽  
Sub Saharan Africa ◽  
Healthcare Quality Improvement ◽  
Sub Saharan
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