Ditemukan 6 dokumen yang sesuai dengan query :: Simpan CSV
Sekarnira Andikashwari; Pembimbing: Budi Hidayat; Penguji: Vetty Yulianty Permanasari, Puput Oktamianti, Andi Afdal Abdullah, Citra Jaya
T-5274
Depok : FKM UI, 2018
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Yunita; Pembimbing: Prastuti C. Soewondo; Penguji: Kurnia Sari, Hasbullah Thabrany, Siswi Puji Astuti, Andi Afdal Abdullah
Abstrak:
Proporsi perokok di Indonesia meningkat setiap tahunnya dengan usia perokok pemula yang semakin muda. Merokok memberikan dampak kerugian ekonomi pada perokok dan juga orang yang terpapar asap rokok. Penelitian dari beberapa negara membuktikan berhenti merokok dapat menurunkan utilisasi pelayanan kesehatan dan pengeluaran kesehatan dibanding tidak berhenti merokok. Penelitian ini bertujuan untuk mengetahui hubungan faktor risiko berstatus mantan perokok dengan utilisasi pelayanan kesehatan pada peserta JKN tahun 2016. Desain studi adalah potong lintang dengan pendekatan kuantitatif. Menggunakan data sekunder Susenas dan Podes dengan sampel yang memenuhi kriteria inklusi dan ekslusi sebanyak 75.352 individu. Analisis regresi logistik multinomial multivariabel dilakukan dengan proses analisis faktor risiko. Dari analisis diketahui laki-laki berstatus mantan perokok meningkatkan utilisasi rajal saja, ranap saja, dan rajal dan ranap sebesar 1,3 kali (b= 3%; p=0,017), 2,6 kali (b=94%; p=0,000), dan 1,7 kali (b=55%; p=0,000) lebih besar dibanding laki-laki bukan perokok, setelah dikontrol dengan status perkawinan, proporsi ART mantan perokok, dan persepsi keparahan. Dapat disimpulkan adanya riwayat merokok pada laki-laki berhubungan dengan peningkatan utilisasi pelayanan kesehatan dibanding bukan perokok, terlebih yang tidak berhenti merokok. Peningkatan utilisasi pelayanan kesehatan akan berdampak pada peningkatan pengeluaran kesehatan. Upaya promosi tidak merokok dan kampanye berhenti merokok harus terus ditingkatkan.
Kata kunci: mantan perokok; bukan perokok; utilisasi pelayanan kesehatan; berhenti merokok.
The proportion of smokers in Indonesia continues to increase annually and with younger age of new-smokers. Smoking causes substantial economic losses for smokers as well as secondhand smokers. A plenitude of research from many countries proves that quitting smoking can reduce healthcare utilization and spending compared to those that do not quit smoking. This study aims to determine the relationship of risk factors of former smokers with healthcare utilization among JKN members in 2016. This is a crosssectional study with a quantitative approach using Susenas and Podes data with samples meeting the inclusion and exclusion criteria of 75,352 individuals. Multivariable multinomial logistic regression analysis was performed through the risk factor analysis process. The analysis revealed that male ex-smokers increase the utilization of outpatient only, inpatient only, and outpatient and inpatient by 1.3 times (b=23%; p= 0.017), 2.6 times (b=94%; p=0.000), and 1.7 (b=55%; p=0.000) than male nonsmokers, after controlling for marital status, proportion of former smokers among household members, and perception of severity. It can be concluded that a smoking history among men is associated with the increase in healthcare utilization, more than for non-smokers and more so for those who do not quit smoking. Increased healthcare utilization will result in increased health spending. Efforts for non-smoking and smoking cessation campaigns should be prioritized and improved.
Keywords: former smoker; never smoker; healthcare utilization; smoking cessation.
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Kata kunci: mantan perokok; bukan perokok; utilisasi pelayanan kesehatan; berhenti merokok.
The proportion of smokers in Indonesia continues to increase annually and with younger age of new-smokers. Smoking causes substantial economic losses for smokers as well as secondhand smokers. A plenitude of research from many countries proves that quitting smoking can reduce healthcare utilization and spending compared to those that do not quit smoking. This study aims to determine the relationship of risk factors of former smokers with healthcare utilization among JKN members in 2016. This is a crosssectional study with a quantitative approach using Susenas and Podes data with samples meeting the inclusion and exclusion criteria of 75,352 individuals. Multivariable multinomial logistic regression analysis was performed through the risk factor analysis process. The analysis revealed that male ex-smokers increase the utilization of outpatient only, inpatient only, and outpatient and inpatient by 1.3 times (b=23%; p= 0.017), 2.6 times (b=94%; p=0.000), and 1.7 (b=55%; p=0.000) than male nonsmokers, after controlling for marital status, proportion of former smokers among household members, and perception of severity. It can be concluded that a smoking history among men is associated with the increase in healthcare utilization, more than for non-smokers and more so for those who do not quit smoking. Increased healthcare utilization will result in increased health spending. Efforts for non-smoking and smoking cessation campaigns should be prioritized and improved.
Keywords: former smoker; never smoker; healthcare utilization; smoking cessation.
T-5297
Depok : FKM UI, 2018
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Meriana Sinaga; Pembimbing: Budi Hidayat; Penguji: Sutanto Priyo Hastanto, WaChyu Sulistiadi, Andi Afdal Abdullah, Taufik Hidayat
T-5257
Depok : FKM-UI, 2018
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Ahmad Sulaiman; Pembimbing: Jaslis Ilyas; Penguji: Pujiyanto, Mardiati Nadjib, Andi Afdal Abdullah, Fitriana Yuliawati
T-5273
Depok : FKM-UI, 2018
S2 - Tesis Pusat Informasi Kesehatan Masyarakat
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Sophia; Pembimbing: Mieke Savitri; Penguji: Pujiyanto, Andi Afdal Abdullah
S-6986
Depok : FKM-UI, 2012
S1 - Skripsi Pusat Informasi Kesehatan Masyarakat
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Andi Afdal Abdullah; Promotor: Budi Hidayat; Kopromotor: Pujiyanto; Penguji: Atik Nurwahyuni, Mardiati Nadjib, Soewarta Kosen, Ali Ghufron Mukti; Mahlil Ruby; Teguh Dartanto
Abstrak:
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Latar belakang: Kemudahan akses pelayanan kesehatan bagi peserta Jaminan Kesehatan Nasional (JKN) merupakan salah satu upaya untuk meningkatkan derajat kesehatan penduduk Indonesia. Kemudahan akses ini terwujud dengan bertambahnya fasilitas kesehatan yang melayani peserta JKN. Indikator kemudahan akses terlihat dari bertambahnya jumlah peserta yang berkunjung ke fasilitas kesehatan baik di tingkat pelayanan rawat jalan maupun rawat inap. Kunjungan peserta JKN per 1.000 penduduk dikenal dengan isitilah rate sebagai salah satu indikator utilisasi pelayanan kesehatan untuk menjaga kesinambungan program JKN. Tujuan: penelitian ini bertujuan menganalisis faktor yang mempengaruhi rate rawat jalan tingkat lanjutan (RJTL) maupun rawat inap inap tingkat lanjutan (RITL) dan pemodelan prediksi rate RJTL dan rate RITL. Data yang digunakan berasal dari database BPJS Kesehatan dan Survei Sosial Ekonomi Nasional (SUSENAS) tahun 2016 – 2019 yang diolah berdasarkan faktor predisposing, faktor enabling, dan faktor need dimana semua data digunakan dalam penelitian atau total sampling. Metode: analisis data panel dinamis yang ditujukan untuk membuat model prediksi rate RJTL dan rate RITL. Hasil: model prediksi yang digunakan pada rate RJTL dan rate RITL adalah estimator First Difference Generalized Method of Moment (FDGMM). Kesimpulan: rate RJTL dipengaruhi oleh variabel nilai tagihan klaim dibayar per kunjungan RJTL; jumlah rumah sakit kelas A, B, C, D; jumlah peserta pria; jumlah peserta berusia > 50 tahun; jumlah peserta dengan jumlah anggota keluarga > 3 orang; jumlah peserta berpengeluaran di bawah garis kemiskinan; jumlah peserta dengan penyakit tidak menular; rasio fragmentasi; rasio rujukan; dan jumlah peserta berpendidikan SMP. Sedangkan, rate RITL dipengaruhi oleh variabel nilai tagihan klaim dibayar per kunjungan RITL; jumlah rumah sakit kelas A, B, C, D; jumlah peserta pria; jumlah peserta berusia > 50 tahun; jumlah peserta dengan jumlah anggota keluarga > 3 orang; rate readmisi; jumlah peserta berpendidikan SMP; dan jumlah peserta berpendidikan Perguruan Tinggi. Saran: hasil penelitian menyarankan agar Pemerintah Daerah turut mendukung pemenuhan sarana prasarana pelayanan kesehatan agar masyarakat dapat menjangkau pelayanan kesehatan dengan mudah, mengelola perencanaan penambahan rumah sakit sesuai kebutuhan; Kementerian Kesehatan dapat memberikan regulasi terkait pemenuhan dan pemerataan fasilitas kesehatan maupun tenaga medis, terutama pada daerah dengan keadaan geografis yang sulit; BPJS Kesehatan dapat menggunakan model prediksi rate RJTL dan rate RITL sebagai alat bantu dalam menilai kebutuhan penambahan kerjasama dengan rumah sakit. Peneliti selanjutnya dapat melakukan penelitian dengan faktor utilisasi yang lebih luas dan lengkap serta melakukan kajian yang lebih mendalam pada satu wilayah tertentu dengan mempertimbangkan pengaruh aspek geografis, seperti jarak antar fasilitas kesehatan, luas wilayah dan kondisi akses ke fasilitas kesehatan.
Background: easy access to health services for participants of the National Health Insurance (JKN) is one of the efforts to improve the health status of the Indonesian population. This accessibility is achieved through an increase in health facilities serving JKN participants. The indicator of accessibility can be observed from the rising number of participants visiting health facilities, both at the outpatient and inpatient levels. The rate of visits by JKN participants per 1.000 population is considered an indicator of health service utilization, which contributes to the continuity of the JKN program. Objective: this study aims to analyze the factors that influence the advanced level of outpatient care (RJTL) and inpatient care (RITL) and to model the prediction of RJTL rates and RITL rates. The data used is derived from the BPJS Kesehatan database and the 2016-2019 National Socioeconomic Survey (SUSENAS), which are processed based on predisposing factors, enabling factors, and need factors. All data is utilized in the research, employing total sampling. Method: dynamic panel data analysis is employed to develop prediction models for RJTL rates and RITL rates. Results: the prediction model used for the RJTL rate and RITL rate is the First Difference Generalized Method of Moment (FDGMM) estimator. Conclusion: RJTL rate is influenced by several variables: value of claims bills paid per RJTL visit, number of class A, B, C, and D hospitals, number of male participants, number of participants aged over 50 years, number of participants with more than 3 family members, number of participants with expenditures below the poverty line, number of participants with non-communicable diseases, fragmentation ratio, referral ratio, and number of participants with junior high school education. On the other hand, the RITL rate is affected by value of claim bills paid per RITL visit, number of class A, B, C, and D hospitals, number of male participants, number of participants aged over 50 years, number of participants with more than 3 family members, readmission rate, number of participants with junior high school education, and number of participants with university education. Recommendations: the results of this study suggest that the Regional Government should also support the fulfillment of health service infrastructure so that partisipant can reach health services easily, manage plans for adding hospitals as needed; The Ministry of Health can provide regulations regarding the fulfillment and equity of health facilities and medical personnel, especially in areas with difficult geographical conditions; BPJS Kesehatan can use RJTL rate prediction model and RITL rate as a tool in assessing the need for additional collaboration with hospitals. Future researchers can conduct research with broader and more complete utilization factors and conduct more in-depth studies in a particular area by considering the influence of geographical aspects, such as the distance between health facilities, area size and conditions of access to health facilities.
D-483
Depok : FKM-UI, 2023
S3 - Disertasi Pusat Informasi Kesehatan Masyarakat
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