Objective: In this evaluation we assess the quality of the general and clinical structure in medical units that deliver health services for the Medical Insurance for a New Generation (SMNG) enrollees.
Materials And Methods: The study population included 82 medical units that deliver health services to enrollees of the SMNG in 15 states of Mexico, during 2009. Two indexes: the general structure index and the clinical structure index were created.
Results: It was found an unequal quality of the general and clinical structure in the different levels of care. The results suggest that the first level of care lacks both important general and clinical structural items. They also show on average a regular quality in the second level of care and a good quality in the third level of care medical units.
Conclusions: Our results support the main conclusion of the work of Bulatao, "Improving services requires moving beyond policy reform to strengthening implementation of services".
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1590/s0036-36342012000700006 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Antibiotic Resistance Trends in ESKAPE Pathogens Isolated at a Health Practice and Research Hospital: A Five-Year Retrospective Study.
J Infect Dev Ctries
December 2024
Ankara Etlik City Hospital, Department of Medical Microbiology, Ankara, Turkey.
Introduction: Antimicrobial resistance remains a global threat with increasing morbidity and mortality rates. The aim of this study was to identify the antimicrobial resistance trends among ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.) isolated from clinical samples at a Health Practice and Research Hospital over five years.
View Article and Find Full Text PDFKey Concepts in Machine Learning and Clinical Applications in the Cardiac Intensive Care Unit.
Curr Cardiol Rep
January 2025
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Purpose Of Review: Artificial Intelligence (AI) technology will significantly alter critical care cardiology, from our understanding of diseases to the way in which we communicate with patients and colleagues. We summarize the potential applications of AI in the cardiac intensive care unit (CICU) by reviewing current evidence, future developments and possible challenges.
Recent Findings: Machine Learning (ML) methods have been leveraged to improve interpretation and discover novel uses for diagnostic tests such as the ECG and echocardiograms.
How Do Nurses Decide on Missed Nursing Care? A Grounded Theory Study of Grassroots Arrangement of Nursing Care.
J Clin Nurs
January 2025
School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Aims: To explore the complete decision-making process and action logic of nurses making autonomous decisions that result in missed nursing care.
Background: The complex characteristics of patients in Intensive Care Units place higher demands on the allocation of nursing resources, as well as on the professional skills, resilience and ethics of nursing staff. Preventing missed nursing care is particularly crucial in Intensive Care Units.
Mediating Role of Platelet Count Increase in Unfractionated Heparin Treatment for Sepsis Patients: A Retrospective Cohort Analysis.
Br J Hosp Med (Lond)
December 2024
Department of Critical Care Medicine, Peking University People's Hospital, Beijing, China.
The role of heparin in sepsis therapy has been widely debated. The controversy surrounding heparin's use as an anticoagulant in sepsis may stem from differences in sepsis definitions, study designs, timing and dosage of drug administration, treatment duration, complications, and patient severity. In this study, we aimed to determine the optimal timing and dosage of heparin in patients with sepsis, identify specific subgroups that could benefit from heparin therapy, and explore laboratory markers to assess its efficacy.
View Article and Find Full Text PDFA Multicenter ICET-A Survey on Adherence to Annual Oral Glucose Tolerance Test (OGTT) Screening in Transfusion-Dependent Thalassemia (TDT) Patients - The Expert Clinicians' Opinion on Factors Influencing the Adherence and on Alternative Strategies for Adherence Optimization.
Mediterr J Hematol Infect Dis
January 2025
Department of Diabetes and Endocrinology, Whittington Hospital, University College London, London, UK.
Background: Current guidelines for screening glucose dysregulation (GD) in patients with transfusion-dependent thalassemia (TDT) recommend an annual 2-hour oral glucose tolerance test (OGTT) starting at the age of 10 years.
Objective: Assessment of adherence to OGTT screening in patients with TDT.
Methods: A questionnaire was distributed to 18 Thalassemia Centers in 10 different countries, targeting factors influencing adherence to annual OGTT screening in specialized multidisciplinary pediatric and adult TDT units and identifying strategies to improve adherence to OGTT in TDT patients.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!