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COMPARISON OF FALL RISK ASSESSMENT TOOLS FOR OLDER INDONESIAN ADULTS IN THE ELDERLY HOME AND THE COMMUNITY Susilowati, Indri Hapsari; Nugraha, Susiana; Sabarinah, Sabarinah; Hasiholan, Bonardo Prayogo; Pengpid, Supa; Peltzer, Karl
The Indonesian Journal of Occupational Safety and Health Vol 8, No 3 (2019): THE INDONESIAN JOURNAL OF OCCUPATIONAL SAFETY AND HEALTH
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ijosh.v8i3.2019.241-248


Introduction: One of the causes of disability among elderly is falling. The ability to predict the risk of falls among this group is important so that the appropriate treatment can be provided to reduce the risk. The objective of this study was to compare the Stopping Elderly Accidents, Deaths, & Injuries (STEADI) Initiative from the Centers for Disease Control and Prevention (CDC) and The Johns Hopkins Fall Risk Assessment Tool (JHFRAT) from the Johns Hopkins University. Methods: This study used the STEADI tool, JHFRAT, Activities-Specific Balance Confidence Scale (ABC), and The Geriatric Depression Scale (GDS). The study areas were in community and elderly home in both public and private sectors and the samples were 427 after cleaning. Results: The results for the STEADI and JHFRAT tools were similar where the respondents at highest risk of falling among women (STEADI: 49%; JHFRAT: 3.4%), in Bandung area (63.5%; 5.4%), in private homes (63.3%; 4.4%), non-schools (54.6%; 6.2%), aged 80 or older (64.8%; 6.7%) and not working (48.9%;3.3%). The regression analysis indicated that there was a significant relationship between the risk factors for falls in the elderly determined by the JHFRAT and STEADI tools: namely, region, type of home, age, disease history, total GDS and ABC averages. Conclusion: Despite the similarity in the risk factors obtained through these assessments, there was a significant difference between the results for the STEADI tool and the JHFRAT. The test strength was 43%. However, STEADI is more sensitive to detect fall risk smong elderly than JHFRATKeywords: Activities-Specific Balance Confidence scale, elderly, fall risk,The Johns Hopkins Fall Risk Assessment Tool, the Stopping Elderly Accidents, Deaths, & Injuries
Prevalensi Penderita Diabetes Melitus Tipe-II pada Pasien di Puskesmas Kota Blangkejeren, Kecamatan Blangkejeren, Kabupaten Gayo Lues Tahun 2015 – 2017 Sabarinah, Sabarinah; Fauziah, Ida; Anggraeni, Dewi Nur
Jurnal Ilmiah Biologi UMA (JIBIOMA) Vol 1, No 1 (2019): Mei 2019
Publisher : Jurnal Ilmiah Biologi UMA (JIBIOMA)

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Type-II Diabetes Mellitus is a metabolic disorder which characterised by the increase of blood glucose level (hypergliycemia). The purpose of this study was to determine the prevalence of type-II Diabetes Mellitus in the Puskesmas of Blangkejeren, Gayo Lues District in 2015-2017 and to investigate the patient lifestyle. The research was conducted is descriptive method by colleting data from patient medical record and the result showed that the prevalence of type-II Diabetes Mellitus in 2015-2017 is 16,2 %, the patients were dominated by female and those in the age of 40-49. Most of patients found to have higher daily sugar intake
Health Impact Assessment of Covid-19 Towards Maternal Health Care in West Jakarta Fitrianingrum, Nisaatul Maharanita; Sabarinah, Sabarinah; Pratomo, Hadi
Journal of Maternal and Child Health Vol 6, No 2 (2021)
Publisher : Journal of Maternal and Child Health

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Background: The Large-Scale Social Restrict­ion Policy (PSBB) was implemented in DKI Jakarta to reduce the spread of COVID-19 due to its highest ranked case in Indonesia. A moni­toring program for Maternal and Child Health (MCH) as well as Family Planning (FP) at Suku Dinas Kesehatan (Sudinkes) of West Jakarta was conducted during the pandemic. This study was done to describe the impact of the COVID-19 pandemic towards MCH and FP services, as a basis for policy analysis and recommenda­tions for recovery or risk mitigation program on COVID-19.Subjects and Method: This is a mixed-method study with deductive sequential design. Four indicators of the quantitative data was obtained from routine data on the Pulih Covid dashboard and analysed using SPSS version 26 become a control chart which was visualised into graphs, while the qualitative data was obtained to investigate the reasons of changing trends from quantitative data as the impact of COVID-19 on maternal health services using indepth interviews with responsible officers in Sudinkes of West Jakarta.Results: In the indicators of visiting pregnant women (K1 and K4), delivery process assisted by health personnel, and MCH services carried out at health facilities in West Jakarta were beyond the control showed by there were no direct points above or below the median line. As with the trend, the four data showed no trend and zigzag pattern starting from the third data (March 2018) to the 26th data (January 2020) on the entire control chart.Conclusion: COVID-19 impacted the decrease number of pregnant women’s visits, which coincided with the emergence of the first confirmed positive case of COVID-19 in West Jakarta. A digital monitoring system to guide the problematic patients had ever imple­mented, therefore, recommendation proposed in this study was the reactivation of the digita­lisation on maternal health monitoring system in West Jakarta.Keywords: COVID-19, Maternal Healthcare, Health ImpactCorrespondence: Sabarinah. Biostatistics Department, Faculty of Public Health, Universitas Indonesia. Depok 16424, Indonesia. Email: sabarinahprasetyo@­ Mobile: +62816953885.Journal of Maternal and Child Health (2021), 06(02): 229-237