6 results
Search Results
Now showing 1 - 6 of 6
Publication Open Access ปัจจัยทำนายคุณภาพการดูแลผู้ป่วยเบาหวาน ศูนย์บริการสาธารณสุข กรุงเทพมหานคร(2562) ศุภมาส ศรีหาบุตร; กีรดา ไกรนุวัตร; ปิยะธิดา นาคะเกษียร; Supamas Srihabutr; Kerada Krainuwut; Piyatida Nakagasien; มหาวิทยาลัยมหิดล. คณะพยาบาลศาสตร์; มหาวิทยาลัยมหิดล. คณะพยาบาลศาสตร์. ภาควิชาการพยาบาลสาธารณสุขศาสตร์Purpose: To study quality of care and predictive power of employee involvement, achievement motivation, and nurse staffing ratio on quality of care among diabetic patients. Design: Predictive correlational study. Methods: The sample... information, nurse staffing ratio, employee involvement, achievement motivation, and quality of care. Descriptive statistics and multiple regression analysis were used for data analysis. Main findings: Employee involvement and achievement motivation werePublication Metadata only A cross-sectional survey of critical care services in Sri Lanka: A lower middle-income country(2014-01-01) Rashan Haniffa; A. Pubudu De Silva; Saman Iddagoda; Hasini Batawalage; S. Terrance G.R. De Silva; Palitha G. Mahipala; Arjen Dondorp; Nicolette de Keizer; Saroj Jayasinghe; Ministry of Health Colombo; Mahidol University; University of Colombo Faculty of Medicine; Intensive Care National Audit and Research Centre; Academic Medical Centre, University of Amsterdam.6 per bed), 1 989 nurses (3.9 per bed), and 626 health care assistants (1.2 per bed). Majority (87.9%) had 1:1 nurse-to-patient ratio, although few (11.4%) nurses had received formal intensive care unit training. All CCUs had basic infrastructure... state CCUs by telephone or by visits to determine administration, infrastructure, equipment, staffing, and overall patient outcomes. Results: There were 99 CCUs with 2.5 CCU beds per 100. 000 population and 13 CCU beds per 1 000 hospital beds. The medianItem Metadata only Methods and Instruments to Measure ICU Healthcare Professionals' Workload Related to Medical Technology—Protocol for a Scoping Review(2026-03-01) van Limpt G.J.C.; Molenaar M.A.; Jamaludin F.S.; van Oostveen C.J.; Paulus F.; Schultz M.J.; van Vliet P.; Buiteman-Kruizinga L.A.; van Limpt G.J.C.; Mahidol Universitytemporal demands, subtask frequency and cognitive demands—distinct from scoring systems determining staffing ratios. Aim: To identify methods and instruments to measure ICU healthcare professionals' workload during direct patient care activities involving... criteria: paediatric population, editorials, letters and patient-based scoring systems (e.g., Therapeutic Intervention Scoring System–76; Nursing Activities Score). Two reviewers will independently screen records and extract data using standardised formsPublication Open Access Sharps Injuries among Nurses in a Thai Regional Hospital: Prevalence and Risk Factors(2011) Honda M; Masanori Honda; J Chompikul; Jiraporn Chompikul; Rattanapan C; Cheerawit Ratanapan; Wood G; Klungboonkrong S; Mahidol University. ASEAN Institute for Health DevelopmentBackground: Sharps injuries (SIs) are one of the most serious occupational accidents among nurses due to the possible severe consequences, such as the transmission of infectious diseases and inducing of mental impairment. Objective: To discover... the prevalence of SIs among nurses in a regional hospital in Thailand and to identify factors associated with SIs. Methods: A cross-sectional study was conducted in 2011. Stratified random sampling was used to select the respondents, with wards as the strataPublication Open Access A Thailand case study based on quantitative assessment: does a national lead agency make a difference in pre-hospital care development in middle income countries?(2014) Paibul Suriyawongpaisal; Wichai Aekplakorn; Rassamee Tansirisithikul; Mahidol University. Faculty of Medicine Ramathibodi Hospital. Department of Community MedicineBackground: Emergency Medical Institute of Thailand (EMIT) has been established as a national lead agency to improve emergency medical service systems since December 2008. However up to now, there has not been any published systematic assessment of its performance to guide further policy decisions. Methods: This study assesses the 4-year pre-hospital care coverage and performance in Thailand after EMIT establishment. The assessment makes use of 1,171,564 records from a national data set for pre-hospital care i.e., Information Technology for Emergency Medical Service System (ITEMS) in 2012. Results: Comparing with historical data, we found evidence indicating the national lead agency making differences in two basic requirements of pre-hospital care i.e., the coverage was increased by at least 1.4 times higher than the majority reported figures among 11 out of the total 13 regions of the country at baseline; and mean total response time for critical-coded patients, the longest in our study, is 1.6 times shorter than previously reported figure in 2008 (48.46 minutes). Analysis of the national data set also revealed quite substantial missing values indicating a need for further improvement. When historical data was not available, we compared our findings with international figures. Over triage rate of 28.4% for advanced life support (ALS) ambulance was found which is roughly a third of that reported in Taiwan. Almost all patients were stabilized and/or treated regardless of being transferred to hospitals in contrast to the scenarios in the U.S. systems which may probably be due to different payment mechanism. Relying on circumstantial evidences, we identified probable stagnation in pre-hospital care coverage for patients visiting emergency department after the establishment of the lead agency. Conclusions: This national data assessment shows progression in certain basic pre-hospital care requirements in Thailand. However, it needs regular systematic evaluation and there is still room for improvement of pre-hospital care systems such as increasing coverage, more equitable distribution of the coverage, faster response times, especially for patients with critical code, information system, cost-effectiveness study as well as further specific qualitative researches to guide further development of policy and intervention.Publication Open Access Reactive case‑detection of malaria in Pailin Province, Western Cambodia: lessons from a year‑long evaluation in a pre‑elimination setting(2016) John Hustedt; Canavati, Sara E.; Chandary Rang; Ashton, Ruth A.; Nimol Khim; Laura Berne; Saorin Kim; Siv Sovannaroth; Po Ly; Didier Ménard; Jonathan Cox; Sylvia Meek; Arantxa Roca‐Feltrer; Mahidol University. Faculty of Tropical MedicineBackground: As momentum towards malaria elimination grows, strategies are being developed for scale-up in elimination settings. One prominent strategy, reactive case detection (RACD), involves screening and treating individuals living in close proximity to passively detected, or “index” cases. This study aims to use RACD to quantify Plasmodium parasitaemia in households of index cases, and identify risk factors for infection; these data could inform reactive screening approaches and identify target risk groups. Methods: This study was conducted in the Western Cambodian province of Pailin between May 2013 and March 2014 among 440 households. Index participants/index cases (n = 270) and surrounding households (n = 110) were screened for Plasmodium infection with rapid diagnostic tests (RDT), microscopy and real-time polymerase chain reaction (PCR). Participants were interviewed to identify risk factors. A comparison group of 60 randomly-selected households was also screened, to compare infection levels of RACD and non-RACD households. In order to identify potential risk factors that would inform screening approaches and identify risk groups, multivariate logistic regression models were applied. Results: Nine infections were identified in households of index cases (RACD approach) through RDT screening of 1898 individuals (seven Plasmodium vivax, two Plasmodium falciparum); seven were afebrile. Seventeen infections were identified through PCR screening of 1596 individuals (15 P. vivax, and 22 % P. falciparum/P. vivax mixed infections). In the control group, 25 P. falciparum infections were identified through PCR screening of 237 individuals, and no P. vivax was found. Plasmodium falciparum infection was associated with fever (p = 0.013), being a member of a control household (p ≤ 0.001), having a history of malaria infection (p = 0.041), and sleeping without a mosquito net (p = 0.011). Significant predictors of P. vivax infection, as diagnosed by PCR, were fever (p = 0.058, borderline significant) and history of malaria infection (p ≤ 0.001). Conclusion: This study found that RACD identified very few secondary infections when targeting index and neighbouring households for screening. The results suggest RACD is not appropriate, where exposure to malaria occurs away from the community, and there is a high level of treatment-seeking from the private sector. Piloting RACD in a range of transmission settings would help to identify the ideal environment for feasible and effective reactive screening methods.