Intensive Care Unit Platform for Health Care Quality and Intelligent Systems Support

Author(s):  
M. Campos ◽  
A. Morales ◽  
J. M. Juárez ◽  
J. Sarlort ◽  
J. Palma ◽  
...  
2018 ◽  
Vol 41 (10) ◽  
pp. 1370-1384 ◽  
Author(s):  
Senay Gul ◽  
Yasemin E. Turkman ◽  
Marie A. Bakitas ◽  
J. Nicholas Dionne-Odom

A qualitative secondary analysis was undertaken to identify aspects of health care service quality in an intensive care unit from the perspective of surrogate decision makers ( N = 19) who were making decisions for relatives at end of life. Directed content analysis was guided by the Donabedian model of health care quality. Nineteen participants averaged 59 years old and were over half female (53%) and patients’ spouses (53%) and adult children (32%). Salient aspects of quality service included surrogate perceptions that clinicians conveyed honesty about the patient’s condition and in an easily understandable way; staff were sensitive and responsive to emotions and practical needs; clinicians demonstrated a clear, confident understanding of the patient’s condition; and support by clinicians was given for surrogates’ choices. Surrogates also commented on the hospital and intensive care unit environment, including cleanliness, comfort, privacy, and noise level. Further research is needed to explore how decision-support strategies might include service quality concepts.


2017 ◽  
Vol 42 ◽  
pp. 401
Author(s):  
Andreza Werli-Alvarenga ◽  
Fernando Antônio Botoni ◽  
Daniela Mascarenhas de Paula ◽  
Edna Marileia Meireles Leite

PEDIATRICS ◽  
2004 ◽  
Vol 113 (Supplement_1) ◽  
pp. 210-216 ◽  
Author(s):  
Karen Kuhlthau ◽  
Timothy G. G. Ferris ◽  
Lisa I. Iezzoni

The movement to measure medical care quality has been accelerating, spurred on by evidence of poor quality of care and trials of interventions to improve care. Appropriate measurement of quality of care is an essential aspect of improving the quality of care, yet some quality measures may be influenced by patients’ attributes unrelated to quality of care. Risk adjustment is the term commonly applied to those methods that account for patient-related attributes, making measurement of health care quality as comparable as possible across providers or organizations seeing different mixes of patients. The measurement of quality of care for children poses specific challenges. In addition to these measurement challenges, analysts must ensure that quality comparisons among doctors, groups of doctors, hospitals, or health plans are not adversely affected by the likelihood that different types of patients seek care in different places. Although some techniques designed to adjust performance measures for case mix were developed for both adults and children, other systems are specific to childhood circumstances. The theoretical issues involved in risk-adjusting childhood outcomes measures for newborns in the neonatal intensive care unit were reviewed recently. Here, we go beyond the neonatal intensive care unit setting to consider risk adjustment for pediatric quality measures more broadly. In particular, we 1) review the conceptual background for risk-adjusting quality measures, 2) present policy issues related to adjusting pediatric quality measures, and 3) catalog existing risk-adjustment methodologies for pediatric quality measures. We conclude with an overall assessment of the status of risk adjustment for pediatric quality measures and recommendations for additional research and application.


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