Claim Missing Document
Check
Articles

Found 2 Documents
Search

Public Health Center Emergency Referral Quality Analysis: Based on National Standard Sasmito, Priyo; Prasetya, Fika Indah; Yektiningtyastuti, Yektiningtyastuti; Rasmita, Dina; Amsyah, Ummul Khairi; Ahmadi, Ahmadi; Aljufri, Salim; Librianty, Nurfanida
International Journal of Public Health Excellence (IJPHE) Vol. 3 No. 2 (2024): January-May
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijphe.v3i2.757

Abstract

The referral quality will affect the outcome of referred patients. The quality of emergency referrals from the Public Health Center (PHC) in Banten Province has not been examined. This study aims to analyze the quality of emergency referrals from PHC and the factors that influence it. Observational analytics with a retrospective approach to a PHC in Banten Province, Indonesia. The reference data for March-May 2023 is taken consecutively. Data on the demographics of referrers and referral cases are recorded. The quality of referrals is analyzed using national personal referral standards. A total of 52 referral cases were involved in the study. Referrals were made by nurses with an average age of 28.2 years with a range of 23-43 years, men (38/73.1%), and with diploma education (30/57.7%). Most of the referring nurses have a valid Basic Life Support (BLS) certificate (46/88.5), are non-civil servants, and work for an average of 3.3 years. Most of the referred cases are surgical (28/53.8) and urgency cases (32/61.5). Forty-four referral cases (84.6%) did not meet national referral standards. The referring nurse's educational background and the urgency of the case had a significant relationship with the quality of referrals with p values < α values of 0.05 (0.000 and 0.000 respectively). There was no significant relationship between referral quality and patient/family satisfaction. Conclusion: Most PHC's emergency referrals to hospital emergency departments (ED) have not complied with national standards. There was a significant relationship between the education of the referring nurse and the level of urgency of the case with the quality of PHC referrals. There is no relationship between referral quality and patient/family satisfaction. National technical guidelines for individual referrals for emergency cases are needed.
A Systematic Review: Early Warning System for Hospital Wards Sasmito, Priyo; Aljufri, Salim; Mulyati, Leli; Rasmita, Dina; Syafridawita, Yetti; Deviana, Elina; Komariah, Elis; Gayatri, Sri Wahyuni; Arifani, Nisa
International Journal of Public Health Excellence (IJPHE) Vol. 3 No. 2 (2024): January-May
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijphe.v3i2.782

Abstract

Most of the unexpected events occur in the hospital wards. An Early Warning System (EWS) is a system created to identify worsening patients outside the Intensive Care Unit (ICU). EWS is one of the requirements that must be met to get hospital accreditation. Hospitals have to choose the appropriate EWS to get optimal outcomes. This study aims to describe some of the EWS in the wards that have been researched and developed, as well as their performance in predicting severe adverse events (SAE). This study is a literature review design, conducting a systematic review by selecting relevant articles on Pub Med and Science Direct using the keyword "Early Warning Systems" in the 2018-2023 period. Out of 269 articles, only 12 articles that met the criteria. The selected articles are then systematically reviewed and analyzed. Based on the extraction results of 12 articles, 9 EWS were grouped into National Early Warning Score (NEWS) and its variants, Modified Early Warning Score (MEWS) and its variants, and EWS integrated with Electronic Medical Record (EMR). In choosing an EWS, hospitals must consider the complexity of the cases being managed and the capabilities of existing resources. The recommended EWS in hospital wards with limited resources is weighted EWS or EWS with combinations, such as NEWS and MEWS with variants. Meanwhile, hospitals that have used EMR can choose EWS integrated with EMR to increase their predictive value for SAE, as well as improve protocol compliance.