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		<title>STUDI KELAYAKAN DAN RINTISAN BADAN LAYAAN UMUM (BLU) JAMSOSKES DI SUMSEL</title>
		<link>http://inovasiekowati.wordpress.com/2011/02/25/studi-kelayakan-dan-rintisan-badan-layaan-umum-blu-jamsoskes-di-sumsel/</link>
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		<pubDate>Fri, 25 Feb 2011 03:40:29 +0000</pubDate>
		<dc:creator>Ekowati Retnaningsih</dc:creator>
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		<description><![CDATA[STUDI KELAYAKAN DAN RINTISAN BADAN LAYAAN UMUM (BLU) JAMSOSKES DI SUMSEL EKOWATI ABSTRAK Program Jaminan Sosial Kesehatan (Jamsoskes) Sumatera Selatan Semesta merupakan salah satu bentuk sistem jaminan kesehatan. Program ini mengcover selLiruh penduduk Sumatera Selatan yang belum mempunyai jaminan kesehatan, dimana dana penyelenggaraan berasal dari sharing dana provinsi dan kabupaten/kota. Untuk mengelola pembiayaan program Jamsoskes, [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inovasiekowati.wordpress.com&amp;blog=7281665&amp;post=37&amp;subd=inovasiekowati&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<h3>STUDI KELAYAKAN DAN RINTISAN BADAN LAYAAN UMUM (BLU) JAMSOSKES DI SUMSEL</h3>
<p><strong> </strong></p>
<p>EKOWATI</p>
<p><strong>ABSTRAK</strong></p>
<p>Program Jaminan Sosial Kesehatan (Jamsoskes) Sumatera Selatan Semesta merupakan salah satu bentuk sistem jaminan kesehatan. Program ini mengcover selLiruh penduduk Sumatera Selatan yang belum mempunyai jaminan kesehatan, dimana dana penyelenggaraan berasal dari <em>sharing </em>dana provinsi dan kabupaten/kota. Untuk mengelola pembiayaan program Jamsoskes, agar lebih efektif dan efisien serta berkembang, dirasakan perlu dibentuk Badan Layanan Umum (BLU) Jamsoskes. Selain hal tersebut, saat ini perangkat hukum untuk penerapan UU Nomor 40 tahun 2004 tentang SJSN sudah hampir selesai, diperkirakan tahun 2011 sudah siap dan tahun 2014 diharapkan <em>universal coverage </em>akan terwujud. Sehubungan dengan hal tersebut diperlukan kajian untuk mengetahui kelayakan BLU program Jamsoskes di Sumatera Selatan.</p>
<p>Penelitian ini merupakan riset operasional dengan pendekatan kualitatif. Unit analisis adalah program Jamsoskes Sumsel Semesta yang ada di wialayah kerja Dinas Kesehatan Provinsi Surnatera, Selatan. Data diperoleh melalui wawancara mendalam pada informan kunci, dan <em>Focus Group Discussion </em>(FGD) dengan menggunakan pedoman. Analisis dilakukan dengan pendekatan <em>content analysis </em>dan analisis for policy.</p>
<p>Dari hasil penelitian diketahui bahwa daerah yan<sup>g</sup> akan mengembangkan sistem jaminan kesehatan terlebih dahulu harus memerlukan payung peraturan/perundangan tentang pembentukan dan status Bapel jaminan tersebut. Untuk jangka panjang, Pemerintah Daerah harus menunggu dulu payung kebijakan di tingkat nasional dengan disyahkannya UU tentang BPJS, jangan sampai program yang sudah dibuat menjadi dibatalkan karena keluarnya UU BPJS yang terbit belakangan. Tetapi jika dalam kondisi yang mendesak, status BLU sementara dapat dipertimbangkan sebagai alternatif UPTD yang dibentuk dengan SK Gubernur atau Pergub. Namun agar sesuai dengan persyaratan pembentukan BLU pada PP No.23 tahun 2005, prosesnya harus melalui studi kelayakan, penyusunan rencana bisnis <em>(business plan) </em>dan rencana strategic. Persyaratan-persyaratan tersebut penting dilakukan untuk menjamin bahwa Bapel yang akan dibentuk memang layak termasuk dari aspek financial.</p>
<p>Dari hasil penelitian dapat disimpulkan bahwa bentuk Badan Layanan Umum dalam penyelenggaraan Jamsoskes Sumsel Semesta dapat dilakukan dengan berlandaskan payung hukum baik tingkat nasional maupun tingkat daerah. Rekomendasi bagi Pemerintah daerah untuk jangka panjang sebaiknya menunggu payung hukum tingkat nasional yaitu dengan keluarnya Undang-undang tentang Badan Penyelenggara Jaminan Sosial pada tingkat nasional.</p>
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		<title>MODEL PREDIKSI FAKTOR RISIKO INFEKSI TB PARU KONTAK SERUMAH UNTUK PERENCANAAN PROGRAM DI KABUPATEN OKU PROVINSI SUMATERA SELATAN TAHUN 2010</title>
		<link>http://inovasiekowati.wordpress.com/2011/02/25/model-prediksi-faktor-risiko-infeksi-tb-paru-kontak-serumah-untuk-perencanaan-program-di-kabupaten-oku-provinsi-sumatera-selatan-tahun-2010/</link>
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		<pubDate>Fri, 25 Feb 2011 03:39:22 +0000</pubDate>
		<dc:creator>Ekowati Retnaningsih</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://inovasiekowati.wordpress.com/?p=35</guid>
		<description><![CDATA[MODEL PREDIKSI FAKTOR RISIKO INFEKSI TB PARU KONTAK SERUMAH UNTUK PERENCANAAN PROGRAM DI KABUPATEN OKU PROVINSI SUMATERA SELATAN TAHUN 2010 Ekowati Retnaningsih*, Yulian Taviv, Yahya ABSTRAK Penelitian ini bertujuan untuk memperoleh model prediksi faktor resiko infeksi TB pada kontak serumah di Kabupaten OKU Provinsi Sumatera Selatan Tahun 2010. Penelitian ini menggunakan paradigma kuantitatif dengan pendekatan [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inovasiekowati.wordpress.com&amp;blog=7281665&amp;post=35&amp;subd=inovasiekowati&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p><strong>MODEL PREDIKSI FAKTOR RISIKO INFEKSI TB PARU KONTAK SERUMAH UNTUK PERENCANAAN PROGRAM DI KABUPATEN OKU PROVINSI SUMATERA SELATAN TAHUN 2010</strong></p>
<p><strong> </strong></p>
<p>Ekowati Retnaningsih*, Yulian Taviv, Yahya</p>
<p><strong> </strong></p>
<p><strong><em> </em></strong></p>
<p><strong><em>ABSTRAK</em></strong></p>
<p><em>Penelitian ini bertujuan untuk memperoleh model prediksi faktor resiko infeksi TB pada kontak serumah di Kabupaten OKU Provinsi Sumatera Selatan Tahun 2010. Penelitian ini menggunakan paradigma kuantitatif dengan pendekatan rancangan penelitian kros seksional (potong lintang). Populasi penelitian adalah seluruh anggota keluarga yang tinggal serumah dengan penderita TB yang akses pelayanan kesehatan. Pengambilan sampel dilakukan secara kuota sesuai dengan jumlah responden yang mampu dijangkau yaitu 100 orang.  Disimpulkan bahwa prevalensi keluarga penderita TB Paru yang tertular mencapai 80%. Probabilitas seseorang beresiko terinfeksi TB adalah 0,94 bila memiliki status gizi kurang, tinggal di rumah yang padat, tidak melakukan pemeriksaan TB dan tingkat pendidikannya rendah (&lt; SD). </em></p>
<p><em> </em></p>
<p><em>Kata Kunci : Risiko Infeksi TB, Status Gizi, </em></p>
<p><em> </em></p>
<p><strong><em>ABSTRACT</em></strong></p>
<p><em>This study aims to obtain TB infection predictive model of home contact in OKU district of South Sumatra Province in 2010. Research design used cross sectional design with quantitative paradigm. Population of the study were all family members that living with TB patient in one home. Quota sampling was carried out in accordance with the number of respondents who are capable of reaching 100 persons. The Result of this study was the prevalence of a family who contact with pulmonary tuberculosis patients are 80%. The probability that someone at risk of TB infection is 0.94 if they are under nutrition, living in overcrowded homes, did not get TB exam and have a low education level (&lt; SD).</em></p>
<p><em> </em></p>
<p><em>Key words: TB Infection Risk and Nutritional Status</em></p>
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		<title>ANALISIS FAKTOR PREDISPOSISI</title>
		<link>http://inovasiekowati.wordpress.com/2011/02/25/analisis-faktor-predisposisi/</link>
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		<pubDate>Fri, 25 Feb 2011 03:38:34 +0000</pubDate>
		<dc:creator>Ekowati Retnaningsih</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

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		<description><![CDATA[ANALISIS FAKTOR PREDISPOSISI YANG BERHUBUNGAN DENGAN PERILAKU IBU DALAM PEMBERIAN IMMUNISASI HEPATITIS B0 PADA BAYI DI PUSKESMAS PEMBINA KOTA PALEMBANG Ekowati Retnaningsih* dan Rini Rusmiati ABSTRAK Penyakit Hepatitis B merupakan salah satu penyakit yang menjadi masalah kesehatan masyarakat di seluruh dunia. Di Indonesia, angka kejadian infeksi Hepatitis B kronis mencapai 5%-10% dari total penduduk . [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inovasiekowati.wordpress.com&amp;blog=7281665&amp;post=33&amp;subd=inovasiekowati&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p><strong>ANALISIS FAKTOR PREDISPOSISI YANG BERHUBUNGAN DENGAN PERILAKU IBU DALAM PEMBERIAN IMMUNISASI HEPATITIS B<sub>0</sub> PADA BAYI DI PUSKESMAS PEMBINA </strong></p>
<p><strong>KOTA</strong><strong> PALEMBANG</strong></p>
<p><strong> </strong></p>
<p>Ekowati Retnaningsih* dan Rini Rusmiati</p>
<p><strong> </strong></p>
<p><strong>ABSTRAK </strong></p>
<p><em>Penyakit Hepatitis B merupakan salah satu penyakit yang menjadi masalah kesehatan masyarakat di seluruh dunia. </em><em>Di Indonesia, angka kejadian infeksi Hepatitis B kronis mencapai 5%-10% dari total penduduk . J</em><em>umlah kasus Hepatitis B di Sumatera Selatan terus meningkat.</em></p>
<p><em>Tujuan penelitian ini adalah untuk mengetahui faktor predisposisi yang berhubungan dengan perilaku ibu dalam pemberian imunisasi Hepatitis B<sub>0</sub> di Kelurahan Silaberanti Palembang tahun 2010. Penelitian ini merupakan penelitian observasional analitik dengan rancangan cross sectional  Besar sampel 101 orang. </em></p>
<p><em>Kesimpulan yang didapat: 1) Ada hubungan bermakna antara pendidikan, pekerjaan, penngetahuan ibu dengan perilaku pemberian imunisasi Hepatitis B<sub>0</sub> pada bayinya. 2) Ibu berpendidikan tinggi mempunyai peluang 2,88 kali dibanding ibu berpendidikan rendah; Ibu yang tidak bekerja mempunyai peluang 4,99 kali dibanding ibu bekerja; Ibu yang tingkat pengetahuannya baik mempunyai peluang 2,87 kali dibanding ibu pengetahuan kurang, untuk memberikan imunisasi Hepatitis B<sub>0</sub> pada bayinya. </em></p>
<p><em>Kata Kunci: Faktor predisposisi, imunisasi, hepatitis B<sub>0</sub></em></p>
<p>&nbsp;</p>
<p><strong>ABSTRACT </strong></p>
<p><em>Hepatitis B is one of all diseases becoming public health problem in the world. In Indonesia, prevalence of hepatitis B is 5-10%. It is increases in South  Sumatera. The aims of study were to know relation between predisposing factor with immunization hepatitis B practice. Research design use the cross sectional design and total samples were 101 respondents.</em></p>
<p><em>The result of the research were: 1) There was relation between the education, occupation, knowledge with the practice of baby immunization hepatitis B. 2) Mothers with height education have odd 2,88 times compare low education; Mothers do not have job have odd 4,99 times compare have job; Mothers with height knowledge have odd 2,87 times compare low knowledge, to give hepatitis B<sub>0</sub> for her baby.</em></p>
<p><em>Key word: predisposing  factor, immunization, hepatitis<strong> </strong></em><em>B<sub>0</sub></em><strong><em> </em></strong></p>
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		<title>MODEL PREDIKSI PREVALENSI OBESITAS PADA PENDUDUK  UMUR DIATAS 15 TAHUN  DI INDONESIA</title>
		<link>http://inovasiekowati.wordpress.com/2011/02/25/model-prediksi-prevalensi-obesitas-pada-penduduk-umur-diatas-15-tahun-di-indonesia/</link>
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		<pubDate>Fri, 25 Feb 2011 03:37:53 +0000</pubDate>
		<dc:creator>Ekowati Retnaningsih</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

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		<description><![CDATA[MODEL PREDIKSI PREVALENSI OBESITAS PADA PENDUDUK UMUR DIATAS 15 TAHUN  DI INDONESIA &#160; Ekowati Retnaningsih &#160; Abstrak Saat ini Indonesia dihadapkan pada masalah gizi ganda yaitu masalah gizi kurang dan masalah gizi lebih. Masalah utama pada orang dewasa saat ini adalah kelebihan gizi yang dapat menimbulkan kasus obesitas yang selanjutnya dapat memicu timbulnya penyakit-penyakit degeneratif. [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inovasiekowati.wordpress.com&amp;blog=7281665&amp;post=31&amp;subd=inovasiekowati&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p><strong>MODEL PREDIKSI PREVALENSI OBESITAS PADA PENDUDUK</strong></p>
<p><strong>UMUR DIATAS 15 TAHUN  DI INDONESIA</strong></p>
<p>&nbsp;</p>
<p>Ekowati Retnaningsih</p>
<p>&nbsp;</p>
<p><strong><em>Abstrak</em></strong></p>
<p><em>Saat ini Indonesia dihadapkan pada masalah gizi ganda yaitu masalah gizi kurang dan masalah gizi lebih. Masalah utama pada orang dewasa saat ini adalah kelebihan gizi yang dapat menimbulkan kasus obesitas yang selanjutnya dapat memicu timbulnya penyakit-penyakit degeneratif. </em></p>
<p><em>Tujuan penelitian adalah untuk mengetahui faktor yang berhubungan dengan prevalensi obesitas pada umur diatas 15 tahun di Indonesia dan model prediksinya. Penelitian ini menggunakan pendekatan studi ekologi dan rancangan penelitian kros seksional. Populasi penelitian adalah wilayah provinsi se Indonesia yaitu sejumlah 33 provinsi. Jumlah sampel penelitian adalah seluruh populasi yang ada yaitu 33 provinsi dengan unit analisis adalah data rata-rata prevalensi wilayah provinsi. Data yang digunakan adalah data sekunder hasil RISKESDAS tahun 2007 menggunakan uji regresi linier ganda.</em></p>
<p><em>Hasil penelitian menunjukkan bahwa prevalensi obesitas pada umur &gt; 15 tahun di Indonesia adalah 19,10 %. Hanya ada 1 varibel yang berhubungan dengan prevalensi obesitas secara bermakna yaitu variable prevalensi konsumsi lemak dengan p 0,027. Model prediksi prevalensi Obesitas = 15,1 + 0,31(prevalensi konsumsi makanan berlemak). </em></p>
<p><em>Berdasar hasil penelitian dapat disimpulkan bahwa prevalensi konsumsi makanan berlemak mempunyai hubungan yang bermakna dengan prevalensi obesitas di suatu wilayah dan kenaikan prevalensi konsumsi makanan berlemak 1 % akan meningkatkan prevalensi obesitas 0,31 %.</em></p>
<p><em> </em></p>
<p><em>Kata kunci: Obesitas, konsumsi makanan berlemak, model prediksi. </em></p>
<p><em> </em></p>
<p><strong><em>Abstract</em></strong></p>
<p><em>Indonesia</em><em> has two malnutrition problems. They are under nutrition and over nutrition. The main malnutrition problem in old people is over nutrition that can lead to obesity problem. It influences the case of degenerative diseases. The aim of this research is to get information about the factor that related with obesity and to get information of obesity predictive model in the over 15 years old population. This research use ecology study and cross sectional design. Population are 33 provinces in Indonesia, sample is total population. It uses Riskesdas data in 2007. Data analysis use multi regression linier test.</em><em> </em></p>
<p><em>Result of this research show that obesity prevalence in Indonesia is 19,10 %. Prevalence of fat consumption have significant relation with prevalence of = 15,1 + 0,31(prevalence of fat consumption). The conclusions of this research are prevalence of fat consumption influences obesity prevalence of province population in Indonesia. The increase of fat consumption prevalence 1% cause the increase of obesity prevalence 0,31%.</em></p>
<p><em> </em></p>
<p><em>Key word: obesity, fat consumption, predictive model.</em></p>
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		<title>ANALISIS KEBIJAKAN PROGRAM JAMSOSKES SUMSEL SEMESTA</title>
		<link>http://inovasiekowati.wordpress.com/2011/02/25/analisis-kebijakan-program-jamsoskes-sumsel-semesta/</link>
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		<pubDate>Fri, 25 Feb 2011 03:35:58 +0000</pubDate>
		<dc:creator>Ekowati Retnaningsih</dc:creator>
				<category><![CDATA[abstrack]]></category>

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		<description><![CDATA[ANALISIS KEBIJAKAN : PROGRAM JAMINAN SOSIAL KESEHATAN SEMESTA SUMATERA SELATAN SEBAGAI IMPLEMENTASI URUSAN WAJIB PEMERINTAH DAERAH DI BIDANG KESEHATAN DALAM KERANGKA OTONOMI DAERAH DI KABUPATEN OKI Ekowati Retnaningsih* Abstract Indonesia has low number 40/2004 about National Social Security System that is all of Indonesia people must have health insurance. Low number 32/2004 about autonomy to [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inovasiekowati.wordpress.com&amp;blog=7281665&amp;post=27&amp;subd=inovasiekowati&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p><strong>ANALISIS KEBIJAKAN :</strong></p>
<p><strong>PROGRAM JAMINAN SOSIAL KESEHATAN SEMESTA </strong></p>
<p><strong>SUMATERA SELATAN SEBAGAI IMPLEMENTASI URUSAN WAJIB PEMERINTAH DAERAH DI BIDANG KESEHATAN </strong></p>
<p><strong>DALAM KERANGKA OTONOMI DAERAH DI KABUPATEN OKI</strong></p>
<p><strong> </strong></p>
<p><strong>Ekowati Retnaningsih*</strong></p>
<p><strong> </strong></p>
<p><strong><em>Abstract</em></strong></p>
<p><em>Indonesia</em><em> has low number 40/2004 about National Social Security System that is all of Indonesia people must have health insurance. Low number 32/2004 about autonomy to instruct that province and district region have obligation to improve health status all of our people. South  Sumatra Province Government with District Government launching Social Health Insurance Program start 22 January 2009. </em></p>
<p><em>The means this research are to know existing condition of input aspect, process aspect and output aspect with all of problem in Ogan Komering Ilir (OKI) District. This research use policy analysis design with approach mix paradigms are quantitative and qualitative design. Quantitative research get secondary data and qualitative research get primer data. It uses 24 people informant representative. Collecting of quantitative data uses in-depth interview and focus group discussion method. Validation of data use source triangulation and method triangulation.      <strong> </strong></em></p>
<p><em> Research results were: 1) The out patient utilization was 118.346 visitor (30,6%) in part were 3.394 visitor (2,87%) are pay. 2) The in patient was 4.620 visitor (1,2%) in part were 1.317 visitor (28,5%) are pay. 3) The room of secretariat is too small, without airship wardrobe and computer. 4) They have not budget for operational and secretariat budget. 5) Verification of member need long time because have not the member database. 6) Visiting hours was not enough. </em></p>
<p><em>Key word: policy analysis, health insurance system, free of medical treatment.</em></p>
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		<title>KONTRIBUSI PEMILIHAN PENOLONG PERSALINAN UNTUK MENCEGAH KEMATIAN IBU DI PROVINSI SUMATERA SELATAN</title>
		<link>http://inovasiekowati.wordpress.com/2011/02/25/kontribusi-pemilihan-penolong-persalinan-untuk-mencegah-kematian-ibu-di-provinsi-sumatera-selatan/</link>
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		<pubDate>Fri, 25 Feb 2011 03:34:21 +0000</pubDate>
		<dc:creator>Ekowati Retnaningsih</dc:creator>
				<category><![CDATA[abstrack]]></category>

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		<description><![CDATA[KONTRIBUSI PEMILIHAN PENOLONG PERSALINAN UNTUK MENCEGAH KEMATIAN IBU DI PROVINSI SUMATERA SELATAN Ekowati Retnaningsih Abstract In the year 2004, maternal mortality rate (MMR) of South Sumatra Province was 467 per 100,000 live births. Target of Healthy South Sumatra 2008 are 175 each 100.000 live births. Based on Blum concept, health seeking behavior factor has strong [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inovasiekowati.wordpress.com&amp;blog=7281665&amp;post=25&amp;subd=inovasiekowati&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p><strong>KONTRIBUSI PEMILIHAN PENOLONG PERSALINAN UNTUK MENCEGAH KEMATIAN IBU DI PROVINSI SUMATERA SELATAN</strong></p>
<p><strong> </strong></p>
<p><strong>Ekowati Retnaningsi</strong><strong>h</strong></p>
<p><strong> </strong></p>
<p><strong>Abstract</strong></p>
<p><strong> </strong></p>
<p>In the year 2004, maternal mortality rate (MMR) of South Sumatra  Province was 467 per 100,000 live births. Target of Healthy South Sumatra 2008 are 175 each 100.000 live births. Based on Blum concept, health seeking behavior factor has strong influence the community health status, including mortality rate.</p>
<p>&nbsp;</p>
<p>The research objective is to get information about contribution of health seeking behavior factors, specialty birth attendant to prevent maternal mortality. This is case control study. Locations of research are 4 districts in South Sumatra Province, e.g Musi Banyu Asin, Muara Enim, Ogan Ilir, and Palembang in 2007.  Respondents of case group were husbands of dead mother and respondent of control group were mothers who were a live. Total sample were 78 mothers, from case group were 26 mothers and control group were 52 mothers.</p>
<p>&nbsp;</p>
<p>Results of the research were 1) Attributable Fraction Effect (AFE) was 0.78 and 2) Attributable Fraction Effect of Population (AFP) was 0.35. Conclusion of the researches was health behavior to choose kind of birth attendant influence maternal mortality. The choice of health provider as birth attendant has contribution 78% to prevent maternal mortality at group of mother who were choose non-health providers as birth attendant and has contribution 35% to prevent maternal mortality in population. A recommendation of further research is to do qualitative research to get information about cause of pregnancy women choose non-health provider as birth attendant.</p>
<p>&nbsp;</p>
<p><strong><em>Key Words: case control, contribution, birth attendant, maternal mortality.</em></strong></p>
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		<title>SURVEI RUMAH SEHAT DI KOTA PALEMBANG TAHUN 2007</title>
		<link>http://inovasiekowati.wordpress.com/2011/02/25/survei-rumah-sehat-di-kota-palembang-tahun-2007/</link>
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		<pubDate>Fri, 25 Feb 2011 03:30:38 +0000</pubDate>
		<dc:creator>Ekowati Retnaningsih</dc:creator>
				<category><![CDATA[abstrack]]></category>

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		<description><![CDATA[SURVEI RUMAH SEHAT DI KOTA PALEMBANG TAHUN 2007 Ekowati Retnaningsih Abstract The presence of house that healthy, secure, suitable, regular is very needed so that the functions and advantages of the house can be fulfilled well and can give healthy influence to the occupants in the house. The objection of this research was to know [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inovasiekowati.wordpress.com&amp;blog=7281665&amp;post=21&amp;subd=inovasiekowati&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>SURVEI RUMAH SEHAT DI KOTA PALEMBANG TAHUN 2007</p>
<p>Ekowati Retnaningsih</p>
<p>Abstract</p>
<p>The presence of house that healthy, secure, suitable, regular is very needed so that the functions and advantages of the house can be fulfilled well and can give healthy influence to the occupants in the house. The objection of this research was to know proportion of healthty house in each kecamatan in Palembang so we can set the right planning to the right target. This research use quantitative paradigm and it use cross sectional design. The sampling method was done by multistage randomsampling in all kecamatan in Palembang, that are 103 kelurahan. With estimate the possibilities of drop out sample is 5%, so the minimal sample amount that needed were 9.496 houses.  Based on the descriptive analysis result in this research, we can conclude that kecamatan with proportion of healthty house is &gt; 80 % are:  1) roof: 2 kecamatan, 2) floor: 14 kecamatan, 3) wall: 14 kecamatan, 4) ventilation: 9 kecamatan, 5) clean water source: 7 kecamatan, 6) family lavatory: 10 kecamatan, 7) SPAL: 1 kecamatan, <img src='http://s2.wp.com/wp-includes/images/smilies/icon_cool.gif' alt='8)' class='wp-smiley' /> Garbage can: 1 kecamatan. Community knowledge about healthy environment that already good has reach  &gt; 80 % only 3 kecamatan and defecate bahaviour in lavatory that already reach &gt; 80 % are 13 kecamatan.  Key word: Proportion, healthy house, healthy environment</p>
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		<title>Seminar and Workshop: Health Economics: Patients and Pharmaceutical Use</title>
		<link>http://inovasiekowati.wordpress.com/2010/01/02/eminar-and-workshop-health-economics-patients-and-pharmaceutical-use/</link>
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		<pubDate>Sat, 02 Jan 2010 15:04:39 +0000</pubDate>
		<dc:creator>Ekowati Retnaningsih</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

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		<description><![CDATA[Seminar and Workshop: Health Economics: Patients and Pharmaceutical Use*) Hotel Borobudur, Jakarta, 13 – 14 Januari 2010 Harga obat di Indonesia dinilai lebih mahal dari negara-negara lain, tidak hanya dibandingkan dengan negara berkembang, tetapi juga dibandingkan dengan negara maju dan kaya. Sebagai gambaran, total belanja obat di Indonesia pada tahun 2009 mencapai 30 triliun rupiah. [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inovasiekowati.wordpress.com&amp;blog=7281665&amp;post=18&amp;subd=inovasiekowati&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>Seminar and Workshop:<br />
Health Economics: Patients and Pharmaceutical Use*)<br />
Hotel Borobudur, Jakarta, 13 – 14 Januari 2010</p>
<p>Harga obat di Indonesia dinilai lebih mahal dari negara-negara lain, tidak hanya dibandingkan dengan negara berkembang, tetapi juga dibandingkan dengan negara maju dan kaya.  Sebagai gambaran, total belanja obat di Indonesia pada tahun 2009 mencapai 30 triliun rupiah. Belanja obat tersebut merupakan 40% dari total biaya pelayanan kesehatan. Tinggginya proporsi biaya obat akan mempengaruhi pembayaran pelayanan kesehatan terutama oleh institusi besar seperti BUMN, korporasi, dan industri asuransi. Oleh karena itu, diperlukan upaya untuk mencari solusi melalui diskusi, seminar dan workshop untuk mengetahui rasionalitas dan efisiensi penggunaan obat.</p>
<p>Narasumber<br />
Prof. dr. Hasbullah Thabrany, MPH, DrPH (FKM UI)<br />
Ahmad Fuad Afdhal, PhD (Executive Committee Member of International Society of Pharmaco-economics and Outcomes Research)<br />
Abdulkadir Keskinasian, MD, MBA, MPH (Market Pricing Director, Asia-Pacific Region, Novartis Pharma AG, Basel, Switzerland)<br />
Lieven Annemans, PhD, MMan, MSc (Professor of Health Economics at Ghent University and Brussels University)<br />
Diana I Brixner, RPh, PhD (Executive Director Outcomes Research Center, University of Utah College of Pharmacy, USA)<br />
Gary M.Oderda, Pharm.D, MPH (Professor of the University of Utah and Director of the University of Utah Pharmacotherapy Outcomes Research center, USA)</p>
<p>Agenda<br />
Hari I : Seminar<br />
Sesi 1 : Basic Concept<br />
Topik :<br />
Health Care and Economics<br />
Basic Concepts and Pronciples of Health Economics Evaluation<br />
Pricing &amp; Reimbursement<br />
Pharmaceutical Evaluations</p>
<p>Sesi 2 : A Journey of Around The World<br />
Topik :<br />
Asia Perspective<br />
Europe Perspective<br />
US Perspective</p>
<p>Hari II : Workshop (hanya dapat diikuti oleh mereka dengan latar belakang farmasi, kedokteran atau ekonomi)<br />
Topik :<br />
Introduction to Health Economic Evaluation in Medicine<br />
Introduction to Modelling + Decision Tree Budget Impact Analysis<br />
Cost Efeectiveness Analysis<br />
Database Analysis and Compliance<br />
Working Groups with Topics : Budget Impact Analysis, Data Analysis and Compliance, Cost Effectiveness Analysis</p>
<p>Sasaran Peserta<br />
Dokter, Direktur/Manager pada Perusahaan Farmasi, Direktur/Manager pada RS Swasta, Dosen dan Mahasiswa Pascasarjana Bidang Kesehatan, Ekonomi, Farmasi, Direktur/Manager Perusahaan Asuransi</p>
<p>Investasi<br />
Sebelum 22 Desember 2009<br />
Hari I dan Hari II   : Rp.. 750.000,-<br />
Hari I saja                : Rp. 400.000,-<br />
Hari II saja               : Rp. 500.000,-</p>
<p>Sesudah tanggal 22 Desember 2009<br />
Hari I dan Hari II   : Rp. 1.500.000,-<br />
Hari I saja                : Rp     800.000,-<br />
Hari II saja               : Rp 1.000.000,-</p>
<p>Registrasi dan Informasi<br />
Fakultas Kesehatan Masyarakat<br />
u.p Uki, Dian, Yuni<br />
Email : healtheconomics.ui@ui.ac.id<br />
Telp : 021 – 7884 9036<br />
0857 1666 7790</p>
<p>*) This seminar delivered in English</p>
<p>* UQ *<br />
Humas FKMUI<br />
Gd. B, Lt. 2<br />
Kampus FKMUI Depok<br />
T/F 021-786 4975</p>
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		<pubDate>Wed, 23 Dec 2009 00:12:44 +0000</pubDate>
		<dc:creator>Ekowati Retnaningsih</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://inovasiekowati.wordpress.com/?p=4</guid>
		<description><![CDATA[ANALISIS KEBIJAKAN: PROGRAM DOKTER KELUARGA DALAM PELAYANAN KESEHATAN RAWAT JALAN TINGKAT PERTAMA (RJTP) DI SUMATERA SELATAN Ekowati Retnaningsih (eko_promkes2003@yahoo.com) ABSTRACT South Sumatra Province has launched family doctor program to provide health services for poor people in 2006. Government by APBN budged had paid the premium of health insurance for poor people by Askeskin program with [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inovasiekowati.wordpress.com&amp;blog=7281665&amp;post=4&amp;subd=inovasiekowati&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>ANALISIS KEBIJAKAN:</p>
<p>PROGRAM DOKTER KELUARGA DALAM PELAYANAN KESEHATAN RAWAT JALAN TINGKAT PERTAMA (RJTP) DI SUMATERA SELATAN</p>
<p>Ekowati Retnaningsih (eko_promkes2003@yahoo.com)</p>
<p>ABSTRACT</p>
<p>South Sumatra Province has launched family doctor program to provide health services for poor people in 2006. Government by APBN budged had paid the premium of health insurance for poor people by Askeskin program with capitation is Rp.1.000,- each person for the service of health take care of the first level health service (RJTP) in Puskesmas, on 2006. Meanwhile, province of South Sumatra by APBD budged have launch the program of family doctor which also give the service of health RJTP for poor people, its pay capitation is Rp.8.000,- each person. The objective of this research was to determine the application of family doctor program on membership, advantages of health service and financially aspects. This research is using policy analysis approach with qualitatively paradigm. The research design was a case study and explorative study. Results of this research were: 1) There was membership duplication of family doctor program and Askeskin program, 2) The family doctors hope all member of family doctor program was people non-poor, 3) There was duplication of the kind of family doctor program and Askeskin program health service, 4) The family doctors available to serve patient just at 2-4 hour, 5) There was budget duplication of family doctor program with Askeskin program, 6) The family doctor in puskesmas get double salary that can cause jealousy of another health provider.</p>
<p><strong><em>Key words: family doctors, membership, health services, financing.</em></strong></p>
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		<title>STUDI PERBANDINGAN MODEL PERILAKU  PENCARIAN PERTOLONGAN KESEHATAN  SUSPEK TUBERKULOSIS DI JAWA DAN LUAR JAWA</title>
		<link>http://inovasiekowati.wordpress.com/2009/05/23/studi-perbandingan-model-perilaku-pencarian-pertolongan-kesehatan-suspek-tuberkulosis-di-jawa-dan-luar-jawa/</link>
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		<pubDate>Sat, 23 May 2009 13:20:59 +0000</pubDate>
		<dc:creator>Ekowati Retnaningsih</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

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		<description><![CDATA[STUDI PERBANDINGAN MODEL PERILAKU PENCARIAN PERTOLONGAN KESEHATAN SUSPEK TUBERKULOSIS DI JAWA DAN LUAR JAWA Ekowati Retnaningsih Bagian Ilmu Kesehatan Masyarakat Fakultas Kedokteran UNSRI ABSTRACT Indonesia is one of the countries that gives the biggest contribution of TB in the world. Until 2004, the Case Detection Rate (CDR) in Indonesia was low (51,8%). Many of TB [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=inovasiekowati.wordpress.com&amp;blog=7281665&amp;post=12&amp;subd=inovasiekowati&amp;ref=&amp;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>STUDI PERBANDINGAN MODEL PERILAKU<br />
PENCARIAN PERTOLONGAN KESEHATAN  SUSPEK TUBERKULOSIS<br />
DI JAWA DAN LUAR JAWA<br />
Ekowati Retnaningsih<br />
Bagian Ilmu Kesehatan Masyarakat Fakultas Kedokteran UNSRI</p>
<p>ABSTRACT<br />
Indonesia is one of the countries that gives the biggest contribution of TB in the world. Until 2004, the Case Detection Rate (CDR) in Indonesia was low (51,8%). Many of TB suspects do not come and use the health facilities, so the free health facilities program provided by the government become useless. Presently, the TB Care program has been done by the same program at all province in Indonesia, although the characteristic of the community is different. Thes objective research of this to determine the different model of health seeking behavior of TB suspects at Java and outside Java. The research design used was cross sectional. The samples were 806 TB suspects in seven research location province. The result of the research showed that:1) there is a significant differences of utilisation in health services for TB suspects in Java and outside Java, and 2) the model of health seeking behavior of TB suspects in Java was influenced by the age of TB suspect, income per capita, suggestions, the distance and transport cost perception to the health  facilities, but in outside Java was influenced by the quantity of the member of the family, suggestions, health cost perception, distance and transport cost perception to health facilities. It can be concluded that: 1) TB suspects in Java come and use the health facilities more often than TB suspects in outside Java, and 2) there are determinant differences that influence the model of health seeking behavior of TB suspects in Java and outside Java. It means that the TB care program must be designed by considering the characteristic and the local social culture. We can not make a single national program of TB care. At least there are differences programs between Java and outside Java. Further research is needed to develop the model of community based TB care that local specific.</p>
<p>Keywords; Health Seeking Behaviour, tuberculosis, utilizations, Java</p>
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