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All Journal Jukema (Jurnal Kesehatan Masyarakat Aceh) Belitung Nursing Journal Proceedings of the International Conference on Applied Science and Health Jurnal Dunia Kesmas Manuju : Malahayati Nursing Journal Journals of Ners Community J-Kesmas: Jurnal Kesehatan Masyarakat (Indonesian Journal of Public Health) Jurnal Aisyah : Jurnal Ilmu Kesehatan Jurnal Cahaya Mandalika Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Journal Of World Science Jurnal Jaminan Kesehatan Nasional Berita Kedokteran Masyarakat Jurnal ARSI : Administrasi Rumah Sakit Indonesia Journal of Indonesian Health Policy and Administration Jurnal Ekonomi Kesehatan Indonesia Jurnal Ilmu Kesehatan Masyarakat (The Public Health Science Journal) Kesmas: Jurnal Kesehatan Masyarakat Nasional (National Public Health Journal)
Nadjib, Mardiati
Unknown Affiliation
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary

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The role of changes in metabolic syndrome status on health-related quality of life in Bogor City, West Java, Indonesia: A cross-sectional study Indriyati, Titi; Adisasmita, Asri C.; Nadjib, Mardiati; Subekti, Imam; Hatma, Ratna Djuwita; Kosen, Soewarta; Riyadina, Woro; Purnamasari, Telly
Belitung Nursing Journal Vol. 11 No. 2 (2025): March - April
Publisher : Belitung Raya Foundation, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33546/bnj.3543

Abstract

Background: Metabolic syndrome (MetS) is a cluster of chronic conditions, including central obesity, hypertension, impaired glucose metabolism, and dyslipidemia (low HDL, high LDL, and triglycerides). A diagnosis of MetS is made when three or more of these symptoms are present. If left unmanaged, MetS can lead to serious health complications such as cardiovascular disease and type 2 diabetes. Over time, individuals with MetS may experience a decline in their health-related quality of life (HRQoL), especially due to its chronic nature. Objective: This study aimed to evaluate the effects of changes in MetS status on HRQoL. Methods: This study employed a cross-sectional design. Secondary data from the cohort study of Non-Communicable Disease (NCD) risk factors, conducted by the Health Research and Development Agency of the Ministry of Health of the Republic of Indonesia in Bogor City, was used. Data from four follow-up periods (2011/2012 to 2017/2018) were analyzed. A total of 874 respondents were selected via total sampling based on inclusion and exclusion criteria. Data were collected in 2021, which included measures of knowledge, health check-ups, and HRQoL using the SF-36 questionnaire. Statistical analyses, including chi-square tests, t-tests, and multiple regression analyses, were conducted to examine the associations between MetS status and HRQoL. Results: Descriptive analysis revealed that 19% (171 participants) had worsened MetS status, while 80.4% (703 participants) showed improvement. Chi-Square analysis found that respondents with worsening MetS status were 1.6 times more likely to experience poor HRQoL in the physical dimension (95% CI = 1.1-2.3), but no significant effect was found for the mental dimension (PR = 1.1, 95% CI = 0.8-1.6). Multiple logistic regression analysis revealed that comorbidities interacted with worsening MetS status to significantly affect HRQoL in the physical dimension. The adjusted prevalence ratios (PR) were 27.5 (95% CI = 10.3-73.2) for those with comorbidities and 9.2 (95% CI = 5.7-15.0) for those without comorbidities, after controlling for age, mental health, BMI changes, routine health checks, and knowledge. Conclusion: Changes in MetS status towards worsening have a significant negative effect on HRQoL, particularly in the physical dimension. The presence of comorbidities in individuals with worsening MetS status greatly increases the risk of poor HRQoL. Healthcare professionals and nurses should consider the interaction between MetS and comorbidities in patient management. Nurses are encouraged to monitor HRQoL in patients with MetS, promote education on managing comorbidities, and collaborate across disciplines to enhance patient care and intervention programs aimed at improving HRQoL.
Peran Unit Pengelola Darah Rumah Sakit Terhadap Peningkatan Kinerja Layanan Transfusi Darah: Tinjauan Literatur Naratif Marsaban, Adhika Putra; Nadjib, Mardiati
Jurnal ARSI : Administrasi Rumah Sakit Indonesia Vol. 11, No. 2
Publisher : UI Scholars Hub

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Abstract

The performance of hospital blood transfusion services is crucial for patient safety and overall operational effectiveness. Blood management, as a vital and limited resource, plays a significant role. Traditional centralized blood management models often face challenges regarding response speed, potential waste, and quality control. As an alternative, Unit Pengelola Darah Rumah Sakit (UPDRS) offers the potential for performance enhancement. This narrative literature review is based on 16 relevant scientific articles identified through a database search (Scopus, Proquest, Wiley, Google Scholar) and a selection process visualized with a PRISMA diagram. Key findings identified significant impacts on cost efficiency, time efficiency (faster Turnaround Time), blood utilization (waste reduction, improved C:T ratio), and service quality and safety. Overall, the role of UPDRS tends to be positive for performance enhancement, particularly in speed and utilization, but its impact is contextual and requires strong internal management and adequate investment. Implementation challenges such as initial costs and regulations need to be considered.
Implementation of Patient Safety Incident Reporting Using Web-Based Quality Management Information System in Hospital X Tangerang Jeremia, Andrew; Nadjib, Mardiati
Jurnal ARSI : Administrasi Rumah Sakit Indonesia
Publisher : UI Scholars Hub

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Abstract

Patient safety incident reporting is a critical component of hospital quality systems. This study evaluated the implementation of a Quality Management Information System (QMIS) for incident reporting at Hospital X using the Structure–Process–Outcome (SPO) framework integrated with the HOT-Fit model. A mixed-methods case study was conducted, combining analysis of 774 incident reports submitted between March 2023 and December 2024 with in-depth interviews involving clinical staff, unit heads, and the Quality and Risk (QR) Manager. Findings revealed that while structural elements such as computing infrastructure and leadership support were in place, gaps remained in staff training, procedural awareness, and system usability. QMIS was actively used for reporting, but advanced features like root cause analysis (RCA) and dashboards were underutilized. Reporting performance was moderate, with 62.8% of reports submitted within 24 hours and a reporting rate of 22.03 per 1,000 patient days, below international benchmarks. Although some process improvements were implemented, feedback loops to frontline staff were limited. To enhance system effectiveness, technical improvements are recommended, including interface simplification, mobile access, data validation, and integration with hospital systems. Strengthening local support and fostering a learning-oriented safety culture is also essential to sustain engagement and improve patient safety outcomes.
Analysis of Tuberculosis Control Program (Case Detection): Literature Review Aprilia, Reka; Nadjib, Mardiati
J-Kesmas: Jurnal Fakultas Kesehatan Masyarakat (The Indonesian Journal of Public Health) Vol 12, No 1 (2025): April 2025
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/j-kesmas.v12i1.11781

Abstract

To date, tuberculosis remains an infectious disease that can cause health problems in the community. In addition to increasing health risks, TB disease has an impact on the economy of a country and its sufferers. This is certainly hard for a developing country like Indonesia, which is still struggling in many ways besides TB disease. TB disease is an infectious disease caused by Mycobacterium Tuberculosis. TB case finding has the meaning of obtaining an overview through various activities including screening for suspected TB, physical and laboratory monitoring, diagnosing and categorizing the type of patient, so that treatment can be carried out as early as possible so that the patient can recover immediately and not spread to others. There are many factors that can affect the success of the tuberculosis program itself, one of which is the factor in management which includes input, process, output. Objective: This paper examines scientific evidence related to the implementation of the tuberculosis program in case detection. Methods: This article is based on a search of scientific journals conducted through online databases namely Scopus, Semantic, PubMed and Scholar published in 2020-2025. Results: In terms of TB case finding, there are many needs that must be carried out in an effort to get TB cases at health facilities. However, there are obstacles in its implementation, including lack of human resources, ineffective planning, and not optimal recording and reporting systems. Conclusion: efforts in TB case finding are highly dependent on the suitability and integration of available inputs, quality in the implementation process, and clear measurement of outputs. Therefore, efforts to improve program effectiveness require improvements in the management of inputs (such as resources and policies), optimization of processes (including more efficient detection and treatment), and continuous evaluation of outputs in TB case finding. Keywords: Tuberculosis, Case Detection, Indonesia 
Hubungan Kesehatan Finansial Rumah Sakit terhadap Kualitas Pelayanan : A Literature Review Syah, Bahar; Nadjib, Mardiati
Jurnal Dunia Kesmas Vol 14, No 3 (2025): Volume 14 Nomor 3
Publisher : Persatuan Dosen Kesehatan Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jdk.v14i3.21261

Abstract

Rumah sakit di negara berkembang seperti Indonesia menghadapi tekanan serius yang dapat mempengaruhi kualitas pelayanan kepada pasien seperti keterbatasan tarif, keterlambatan pembayaran klaim, serta ketergantungan pada program Jaminan Kesehatan Nasional (JKN). Penelitian ini bertujuan untuk mengeksplorasi secara sistematis hubungan antara kesehatan finansial rumah sakit dan mutu pelayanan pasien. Penelitian ini dilakukan dengan pendekatan Systematic Literature Review (SLR) menggunakan kerangka PICO. Artikel ilmiah diseleksi dari database Scopus, PubMed, dan ProQuest yang diterbitkan dalam rentang waktu 2015 hingga 2024. Setelah melalui tahap seleksi diperoleh sepuluh artikel yang dinilai relevan dan dianalisis secara mendalam untuk mengidentifikasi hubungan antara kondisi keuangan dan mutu pelayanan rumah sakit. Hasil kajian menunjukkan bahwa rumah sakit dengan kondisi keuangan yang sehat cenderung lebih mampu berinvestasi dalam pengembangan sumber daya manusia, teknologi informasi kesehatan, dan peningkatan infrastruktur layanan yang berdampak positif terhadap kepuasan dan pengalaman pasien. Studi ini menyimpulkan bahwa kesehatan finansial dan mutu layanan merupakan dua elemen yang saling memperkuat dalam membangun sistem pelayanan kesehatan yang berkelanjutan dan responsif terhadap kebutuhan masyarakat. Kebaruan studi ini adalah pendekatan yang secara eksplisit menelaah hubungan antara indikator finansial dan mutu pelayanan rumah sakit dalam konteks negara berkembang, khususnya Indonesia, yang masih relatif jarang dijadikan fokus utama dalam literatur akademik.
Utilization of Artificial Intelligence in Patient Safety Incident Reporting Systems: A Literature Review Jeremia, Andrew; Nadjib, Mardiati
Jurnal Dunia Kesmas Vol 14, No 3 (2025): Volume 14 Nomor 3
Publisher : Persatuan Dosen Kesehatan Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jdk.v14i3.20993

Abstract

Incident reporting is a critical component in fostering a culture of patient safety in hospitals. However, the analysis of narrative-based reports is often time-consuming and resource-intensive, thereby hindering the effectiveness of incident reporting and learning systems. Although artificial intelligence (AI) has been widely explored in healthcare, its application in patient safety incident reporting remains limited and under-researched. This study aims to evaluate the use of AI in patient safety incident reporting systems using a literature review method.   A total of 179 articles were identified from the ProQuest database through structured searching, and 9 articles were selected for in-depth analysis. The findings indicate that AI, particularly through machine learning and natural language processing (NLP), has been applied to classify incident types, detect risk patterns, and predict events from electronic medical records. Furthermore, AI simplifies the reporting process through free-text narratives, reducing administrative burden and increasing reporter participation. Key challenges in implementation include infrastructure readiness, system integration, and data protection. In conclusion, AI holds significant potential to enhance the efficiency and effectiveness of incident reporting systems, provided it is supported by adaptive and secure implementation strategies.Incident reporting is a critical component in fostering a culture of patient safety in hospitals. However, the analysis of narrative-based reports is often time-consuming and resource-intensive[m1] [AJ2] , thereby hindering the effectiveness of incident reporting and learning systems. Although artificial intelligence (AI) has been widely explored in healthcare, its application in patient safety incident reporting remains limited and under-researched. This study aims to evaluate the use of AI in patient safety incident reporting systems using a literature review method. [m3] [AJ4] A total of 179 articles were identifiedfrom the ProQuest database through structured searching, and 9 articles were selected for in-depth analysis. The findings indicate that AI, particularly through machine learning and natural language processing (NLP), has been applied to classify incident types, detect risk patterns, and predict events from electronic medical records. [m5] [AJ6] Furthermore, AI simplifies the reporting process through free-text narratives, reducing administrative burden and increasing reporter participation. [m7] Key challenges in implementation include infrastructure readiness, system integration, and data protection. In conclusion, AI holds significant potential to enhance the efficiency and effectiveness of incident reporting systems, provided it is supported by adaptive and secure implementation strategies. [m1]Lebih diperjelas dibagian latar belakang masalah [AJ2]Telah disebutkan pada latar belakang paragraf ke-3. [m3]Munculkan kalimat terkait noveltu penelitian ini [AJ4]Telah ditambahkan kalimat yang menunjukkan novelty (eksplorasi AI dalam pelaporan masih terbatas) [m5]Jelaskan metode penelitian ini seperti apa?  [AJ6]Sudah ditambahkan menggunakan metode literature review pada kalimat sebelumnya. Pada kalimat ini ditambahkan juga sedikit teknis mengenai database yang digunakan dengan strategi pencarian tertentu. [m7]
Disparities in basic immunization coverage: a case study of supply and demand factors in two community health centers in Bogor, Indonesia Hermadi; Nadjib, Mardiati
BKM Public Health and Community Medicine Vol 41 No 07 (2025)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v41i07.22563

Abstract

Purpose: To identify and analyze the factors influencing complete basic immunization (CBI) coverage at two community health centers (CHCs) with contrasting coverage levels. Methods: This study employed a qualitative approach with a case study design. Informants were purposively selected and included health workers, community health volunteers, and parents. We collected data through in-depth interviews and document review, then analyzed it using a qualitative thematic approach. Results: Supply-side factors included the number and competence of health workers, availability of facilities and infrastructure, and funding support. Demand-side factors comprised community knowledge and awareness, sociodemographic characteristics, and trust in vaccines. Ciapus faced shortages of health personnel and community resistance to immunization, while Bojong Nangka demonstrated active collaboration between health workers and the community. Conclusion: The disparity in CBI coverage between Bojong Nangka and Ciapus CHC is caused by an imbalance between supply and demand factors. In Ciapus, low coverage was driven by limited human resources, inadequate infrastructure, and insufficient funding (supply-side), as well as poor public knowledge, awareness, and trust in vaccines, and the minimal involvement of local leaders (demand-side). In contrast, Bojong Nangka succeeded by strengthening its supply and demand components. Comprehensive interventions are necessary to enhance immunization services, increase public awareness and participation, and thereby achieve equitable CBI coverage.
Contribution of National Health Insurance Patient Revenue to Financial Performance of Private-Profit Hospitals from 2017 to 2022 Imansyah, Fadlul; Sjaaf, Amal Chalik; Nadjib, Mardiati; Hartini, Rina
Kesmas Vol. 20, No. 5
Publisher : UI Scholars Hub

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Abstract

This study investigated the relationship between National Health Insurance (NHI) patient revenue and profit-private hospital financial performance in Indonesia. As the NHI provider, Badan Penyelenggara Jaminan Sosial (BPJS) Healthcare Security’s influence on hospital revenues has raised concerns about its impact on financial sustainability. This study used financial performance indicators to develop a financial performance index—Return on Assets (ROA), Return on Equity (ROE), Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA) Margin, Current Ratio, and Net Profit Margin (NPM)—to assess the financial impact of BPJS Healthcare Security revenue. A partial model approach of multiple linear regression was employed using secondary data from seven private-profit hospitals listed on the Indonesian Stock Exchange from 2017 to 2022. The findings indicated a negative correlation between BPJS Healthcare Security patient revenue and the hospital financial performance index. Specifically, higher patient revenue correlated with lower performance across key financial indicators, including ROA, ROE, EBITDA Margin, Current Ratio, and NPM. It was essential for hospitals but not necessarily to improve their financial health performance. Hospitals need to optimize their revenue mix and explore alternative financial strategies to enhance performance.
Government Health Spending and Life Expectancy: Evidence from Cities and Districts in Indonesia Sari, Kurnia; Hidayat, Budi; Sjaaf, Amal Chalik; Nadjib, Mardiati
Kesmas Vol. 20, No. 3
Publisher : UI Scholars Hub

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Abstract

Life expectancy is widely recognized as a fundamental indicator of population health, and its improvement is often linked to government health spending, particularly in decentralized health systems. This study aimed to investigate the relationship between local government health expenditures and life expectancy in decentralized Indonesia. Data from 492 cities and districts, spanning from 2015 to 2019, were analyzed using a two-way fixed effects regression model to control for time-invariant district characteristics and common temporal shocks. The findings indicated that a 10% increase per capita in government health expenditure was associated with a 0.01% increase in life expectancy. This association was established after adjusting for key health system and contextual variables, including physician density, sanitation coverage, poverty rates, and proportion of fiscal transfers from the central government. The association remained strong and statistically significant across all model parameters. The results demonstrated that increased local health expenditure improves population health outcomes.
Digital Marketing in The Hospital: A Scoping Review Francesca Chandra, Alexandra; Nadjib, Mardiati
Journal of World Science Vol. 2 No. 1 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i1.178

Abstract

Hospitals know smart users better through digital marketing than traditional marketing. The goal of hospital marketing is to assess and understand potential patients' needs and wants so they can meet those needs at the highest level. The Internet, email, and social media are cheaper than direct marketing and can create opportunities to market services to virtual customers, bridge the gap and increase their awareness of the services offered everywhere. This paper aims to determine the effect of digital marketing in hospitals. This scoping review followed a systematic review's study selection process. Relevant studies were collected from Open Knowledge Maps and Google Scholar. The results of this study indicate that some information related to the implementation of digital marketing has challenges. Therefore, there is a need for innovation in implementing digital marketing. In addition, the use of hospital applications can be used in online registration media and media marketing. During the pandemic, hospitals need innovative marketing strategies to attract new patients, expand the business, increase customer trust, and strengthen loyalty. Digital marketing media significantly impact sales promotion, business expansion, and service quality.
Co-Authors Aisyah, Echa Andalusia, Lucia Rizka Anindita, Rahma Aprilano, Wendy Damar Aprilia, Reka Asri C. Adisasmita Athiyah, Athiyah Budi Hidayat Chandra Nugraha, Erfan Dianasari, Widha Dody Ranuhardy, Dody Dumilah Ayuningtyas Farianti, Yuli Fatmasari, Afni Fattah, Reynaldi Firdaus, D.Fitria Sari Francesca Chandra, Alexandra Hadyan, Muhammad Farras Halilintar, Via Dolorosa Hartini, Rina Hatma, Ratna Djuwita Hermadi Imam Subekti Imansyah, Fadlul Indriyati, Titi Jauhar, Afaf Jeremia, Andrew Kamila, Nisa Kurnia Sari Kurniawan, Farhan Laeliyah, Siti Nurul Lumbangaol, Hanna Elisabet Mangunsong, Emmy Ridhawaty Marietta, Marthin Marsaban, Adhika Putra Megraini, Amila Muhammad Yulianto, Muhammad Muhammad Yulianto Mukhlisa, Mazda Novi Mus’ab, Mus’ab Mutakin Sambas, Jenal Naftalin, Farida Nopita, Cici Lia Nurhayati, Intan Nurhidayati, Zygawindi Nurwahyuni, Atik Nusarita Intama, Christina Prastuti Soewondo Prima Astuti Handayani Rachmat, Rachmayasti Sayekti, Sekar Arum Handarbeni Sjaaf, Amal Chalik Soewarta Kosen Syah, Bahar Telly Purnamasari Wahyuningsih, Helmi Wirda Syari Woro Riyadina Wulansari Wulansari Yonathan, Rafika Stany Yulianty Permanasari, Vetty Yunita Yunita Zakaria, Reynaldi Fattah