bluuebunny/crossref_metadata_2025 huggingface dataset:
Rantai Pasar Ikan Cakalang Asap Pada Masa Pandemi Covid-19 Dan New Normal Di Kota Jayapura
Authors: Tuhumena Lolita , Rumahorbo Basa T. Rumahorbo , Rewang Grisella M. S. P. , Pirhel  , Mandey Vera K.
Published: August 2024

The conditions of the Covid-19 pandemic that occurred in 2019-2021 affected the marketing system for Smoked Skipjack. Therefore, the research will be conducted to find out the marketing channels and marketing margins of Smoked Skipjack during the Covid-19 pandemic and the new normal. The research lasted for 6 months at the Mama-mama Papua Market, Hamadi Market, and Cikombong Market. This research method is purposive sampling and be analyzed using descriptive qualitative and quantitative. Based on the research results, it was found that the marketing channel started with fishermen in Dock 9, Jayapura City, who sold their catch to collectors, then collectors sold it to traders who processed fish into smoked fish and smoked fish traders sold it directly to consumers. During the Covid-19 pandemic, the market that had the lowest marketing margin was the Cikombong Market and the highest margin was the Hamadi Market. During the new normal, the highest marketing margin occurred at the Hamadi Market and the lowest was the Cigombong Market, followed by the Mama-Mama Papua Market. During the Covid-19 pandemic and the new normal, efficient markets were the Papua Mama-mama Market, Hamadi Market and Cigombong market, because had <5% efficiency.Then during the new normal, marketing efficiency at Hamadi Market, Papua Mama-mama Market and Cigombong Market were efficient because it had <5% efficiency.
Pengoperasian Purse Seine Pada KMN. Enterprise di Perairan Selat Makassar
Authors: Tomasila Leopold A , Sinau Silvester , Rusdianto  , Tuhumena Lolita
Published: August 2024

The fishing ground is the waters of the Makassar Strait. The activity starts on January 21st 2023 until April 9th, 2023. Unknowledge about fishing techniques with purse seine catch and fishing catch tools with various and function. The objective of that final on board training purse seining gration to identify the facilities and infrastructure used in carrying out operational activities purse this and can identify the catch. The results of observations during the implementation of the final on board raining show that work procedures within purse seining gration of FB Enterprise, in the Makassar Strait consist of 2 main activity stages namely setting and hauling. Based on the results of observations, it can be concluded that the work procedure for on board fish handling starts from preparation, fish loading , sorting, washing fish in baskets, placing fish in pans, storing fish in the ABF hold at 180 By using freon, after that the fish will be packaged when the fish has frozen. The facilities and infrastructure used for handling are: gloves, basketball, pan, plastic pe and clean water
Analisis Pencemaran Biologis Perairan Pantai Wisata Holtekamp Berdasarkan Kepadatan Bakteri Coliform
Authors: Ayer Popi Ida Laila , Mandey Vera K. , Rejauw Korinus , Wanimbo Efray , Warpur Maklon
Published: August 2024

Holtekamp Sea is located in Youtefa Bay, directly connected to the Acai River, which carries waste from land-based activities such as bathing, washing, toilet, livestock farming, ponds, and agriculture. This will affect the bacteriological quality of the Holtekamp Coastal Waters. This study was conducted to analyze the quality of coliform bacteria density a an indicator of biological pollution in the waters of Holtekamp Beach Seawater sample were collected in April 2023. Bacteriological analysis was performed at Papua Regional Health Laboratory using the Most probable number (MPN) method. The research result show that the Nitrate range at stations I to III is 1.70, exceeding the water quality standard of 0.008 according to Decree of Minister of Environment No. 51 of 2004. Furthermore, coliform at stations I to III, it is more than equal to 1898 MPN/100 mL. Meanwhile, the total density of fecal coliform bacteria at stations I and II is 20 MPN/100 mL, and station III is 9 MPN/100 mL. According to Decree of the Minister of Environment No. 51 of 2004, the presence of coliform bacteria in the waters of Holtekamp Beach has exceeded the water quality standard. Thus, the total concentration of nitrate and coliform bacteria density indicates poor water quality or contamination
Hubungan Asupan Makanan, Status Gizi, Lama Menjalani Kemoterapi dan Dukungan Keluarga Dengan Kualitas Hidup Pasien Kanker Payudara
Authors: Rizqiyah Arisa , Abdurrachim Rijanti , Anwar Rosihan
Published: August 2024

Latar Belakang: Kanker payudara merupakan tumor ganas yang menyerang jaringan sel-sel payudara. Kanker payudara tentu memberikan dampak yang besar bagi penderitanya baik secara fisik, psikologis, sosial, spiritual maupun aspek kehidupan lainnya. Hal tersebut tentu mempengaruhi kualitas hidup pasien kanker payudara. Tujuan: Menganalisis hubungan antara asupan makanan, status gizi, lama menjalani kemoterapi dan dukungan keluarga dengan kualitas hidup pasien kanker payudara di RSUD Ulin Banjarmasin. Metode: Jenis penelitian observasional analitik menggunakan rancangan penelitian cross sectional. Sampel diambil dengan teknik non probability sampling berdasarkan kriteria inklusi dan eksklusi sebanyak 48 orang. Data primer diperoleh melalui wawancara dan pengukuran antropometri. Data sekunder diperoleh melalui arsip dan dokumen di rekam medis RSUD Ulin Banjarmasin. Analisis data menggunakan uji korelasi Rank Spearman dengan tingkat kepercayaan 95%. Hasil: Asupan energi defisit (70,9%), asupan protein defisit (54,1%), asupan lemak defisit (68,8%), asupan karbohidrat defisit (66,7%), status gizi normal (47,9%), kemoterapi â‰¥ 3 bulan (72,9%), dukungan keluarga baik (91,7%) dan kualitas hidup sedang (75%). Kesimpulan: Terdapat hubungan antara asupan makanan, status gizi dan lama menjalani kemoterapi dengan kualitas hidup pasien kanker payudara di RSUD Ulin Banjarmasin dan tidak terdapat hubungan antara dukungan keluarga dengan kualitas hidup pasien kanker payudara di RSUD Ulin Banjarmasin.
Formulasi Stik dari Kelakai (Stenochlaena palustris) dan Ikan Gabus (Channa striata) sebagai Produk Alternatif Tinggi Zat Besi
Authors: Khusnaini Norma Safira , Syainah Ermina
Published: August 2024

Latar Belakang: Anemia merupakan salah satu kondisi dimana kurangnya kadar hemoglobin dalam darah. Salah satu faktor penyebab terjadinya anemia adalah asupan zat besi yang kurang. Terkait dengan masalah anemia pada remaja putri, maka dibuat produk stik dari kelakai dan ikan gabus untuk dijadikan produk pangan alternatif tinggi zat besi. Tujuan: Penelitian ini bertujuan untuk mengkaji apakah ada pengaruh formulasi stik dari kelakai dan ikan gabus sebagai produk alternatif tinggi zat besi. Metode: Jenis penelitian adalah eksperimen dengan menggunakan desain penelitian true experimental dengan pemberian perlakuan pada kelakai dan ikan gabus sebanyak 3 perlakuan yaitu P1 = 60% : 40%, P2 = 50% : 50%, P3 = 40% : 60%, dan P0 = 0% : 50% sebagai kontrol. Hasil: Hasil menunjukkan bahwa formulasi kelakai dan ikan gabus memiliki pengaruh yang nyata terhadap mutu kimia yang meliputi kadar air (P=0,001), abu (P=0,003), karbohidrat (P=0,001), lemak (P=0,000), prorein (P=0,000), Fe (P=0,060) dan organoleptik pada stik meliputi rasa (P=0,000), aroma (P=0,402), tekstur (P=0,030), dan rasa (P=0,027). Kesimpulan: Stik dengan mutu organoleptik terbaik ada pada perlakuan P3 dan stik dengan mutu kimia terbaik ada pada perlakuan P2 dengan rata-rata kadar sebesar Fe 70,19 mg/kg.
Hubungan Pendapatan Keluarga, Pola Asuh, Riwayat Penyakit Infkesi dan Status Imunisasi Dasar dengan Kejadian Wasting pada Balita
Authors: Maulida Yulia , Yanti Rusmini , Aprianti Aprianti , Fathurrahman Fathurrahman
Published: August 2024

ABSTRAK
Prevalensi balita wasting tahun 2016 secara nasional yaitu sebesar 11,1% dimana 3,1% balita yang sangat kurus dan 8% balita yang kurus. Berdasarkan data SSGI (Studi Status Gizi Indonesia) Kalimantan Selatan memiliki prevalensi balita wasting pada tahun 2021 sebesar 10,3% dan berada pada urutan ke 5 tertinggi. Kemudian prevalensi wasting berdasarkan Kabupaten atau Kota, menurut data SSGI tahun 2021 Kota Banjarbaru memiliki prevalensi 6,8% berada pada urutan ke-1 tertinggi. Berdasarkan data Dinas Kesehatan Kota Banjarbaru tahun 2020 Puskesmas Liang Anggang tahun 2019 memiliki persentase balita wasting sebesar 12% menempati peringkat ke-2 dari 10 Puskesmas di Wilayah Kota Banjarbaru dan tahun 2020 naik menjadi 26,52% dan menempati posisi ke-1. Hal ini menunjukkan bahwa masih berada dibawah target Kota Banjarbaru tahun 2020 yaitu 8,1% dan tarhet RPJMN 2020-2024 7%. Penelitian ini bertujuan untuk mengetahui hubungan pendapatan keluarga, pola asuh, riwayat penyakit infeksi dan status imunisasi dasar dengan kejadian wasting pada balita usia 12-59 bulan di Wilayah Kerja Puskesmas Liang Anggang Kota Banjarbaru. Metode yang digunakan adalah observasional analitik dengan rancangan Case Control. Populasi adalah seluruh balita usia 12-59 bulan sebanyak 1.129 balita dan sampelnya adalah sebagian dari populasi dengan jumlah sampel 92 orang. Sampel didapatkan dengan teknik purposive sampling. Data penelitian diambil menggunakan kuesioner. Analisis data menggunakan uji korelasi Rank Spearman α=0,05. Hasil penelitian menunjukkan pendapatan keluarga rendah (93,5%) dengan signifikan (p value) 0,003, pola asuh ibu kurang (78,3%) dengan signifikan (p value) 0,002, pernah menderita riwayat penyakit infeksi diare dan atau ISPA dalam dua bulan terakhir (61,9%) dengan signifikan (p value) 0,025, status imunisasi dasar tidak lengkap (55,4%) dengan signifikan (p value) 0,017 dan lebih banyak balita yang mengalami kejadian wasting (57,6%). Ditemukan hubungan bermakna antara pendapatan keluarga, pola asuh, riwayat penyakit infeksi dan status imunisasi dasar dengan kejadian wasting pada balita usia 12-59 bulan di Wilayah Kerja Puskesmas Liang Anggang Kota Banjarbaru.
Hubungan Pengetahuan Gizi, Uang Saku dan Pengaruh Teman Sebaya dengan Perilaku Konsumsi Mi Instan
Authors: Humairo Nadia , Mahpolah  , Mas’odah Siti
Published: August 2024

Masyarakat Kabupaten Banjar sering mengonsumsi mi instan. Berdasarkan data Riskesdas 2018 menunjukkan proporsi masyarakat di Kabupaten Banjar yang mengkonsumsi mi instan ≥ 1 kali perhari yakni sebanyak 6,32%, dan konsumsi 1-6 kali perminggu sebanyak 64,4% angka ini lebih besar dari konsumsi provinsi Kalimantan Selatan yakni 60,1%. Angka kejadian penyakit yang berhubungan dengan faktor resiko dari seringnya konsumsi mi instan juga terus meningkat seperti hipertensi. Tujuan penelitian ini untuk mengetahui hubungan pengetahuan gizi, uang saku dan teman sebaya dengan perilaku konsumsi mi instan pada Santriwati Pondok Pesantren Darussalam yang kos di Pasayangan Martapura. Jenis penelitian observasional analitik, dengan desain cross sectional. Populasi semua santriwati pondok pesantren Darussalam yang Kos di Pasayangan Martapura sebanyak 78 orang. Sampel diambil berdasarkan jumlah total sampling. Pengumpulan data dengan wawancara menggunakan kuesioner. Analisis data menggunakan uji korelasi Rank Spearman pada α = 0,05. Didapatkan pengetahuan gizi santriwati paling banyak pada kategori sedang 52.6%, uang saku santriwati sebagian besar paling banyak ≥ rata-rata yaitu 79.5% dan pengaruh teman sebaya santriwati paling banyak ≥ rata-rata 52.6%. Berdasarkan hasil uji bivariat menunjukkan ada hubungan bermakna pengetahuan gizi dengan perilaku santriwati kos dalam mengonsumsi mi instan (p) 0,000, ada hubungan bermakna uang saku dengan perilaku santriwati kos dalam mengonsumsi mi instan (p) 0,031, ada hubungan bermakna pengaruh teman sebaya dengan perilaku santriwati kos dalam mengonsumsi mi instan (p) 0,000. Kesimpulan, ada hubungan bermakna pengetahuan gizi, uang saku dan pengaruh teman sebaya dengan perilaku santriwati kos dalam mengonsumsi mi instan.
Hubungan Pola Konsumsi dan Aktivitas Fisik Terhadap Pengendalian Kadar Gula Darah pada Penderita Diabetes Melitus Tipe 2
Authors: Ulpah St Maria Ulpah , Sajiman  , Widyastuti Hariati Niken
Published: August 2024

Diabetes melitus (DM) merupakan suatu penyakit yang prevalensinya semakin meningkat dari tahun ketahun dan merupakan penyakit kronis yang membutuhkan terapi medis secara berkelanjutan. Data menunjukkan puskesmas Martapura 1 menduduki urutan pertama yang memiliki prevalensi DM tertinggi di Kabupaten Banjar. Penelitian ini bertujuan untuk mengetahui hubungan pola konsumsi dan aktivitas fisik terhadap pengendalian kadar gula darah pada penderita diabetes melitus tipe2. Jenis penelitian ini adalah observasional analitik dengan rancangan cross- sectional. Populasi dalam penelitian adalah penderita DM yang melakukan pemeriksaan kadar gula darah di Puskesmas Martapura 1 dengan sampel 61 orang yang diambil dengan teknik purposive sampling. Pengumpulan data pola konsumsi dengan metode Recall 1x24 jam dan FFQ, aktivitas fisik dengan metode GPAQ yang dilakukan melalui wawancara menggunakan kuesioner serta data kadar gula darah diperoleh dengan glukometer. Analisis data menggunakan uji korelasi Chi-Square. Hasil penelitian menunjukkan 59% kadar gula darah tidak terkontrol, 68.9% pola konsumsi yang tidak baik dan 41% aktivitas fisik yang ringan. Penelitian menunjukkan ada hubungan pola konsumsi (r<0.000) dan aktivitas fisik (r<0.019) dengan pengendalian kadar gula darah pada penderita diabetes melitus tipe 2.
Pola Konsumsi Balita Dan Pola Asuh Ibu Berbuhungan Dengan Kejadian Underweight Pada Balita Usia 24 – 59 Bulan
Authors: Azkia Aulia , Farhat Yasir , Anwar Rosihan
Published: August 2024

Underweight pada balita diakibatkan karena praktik pengasuhan yang dilakukan didalam keluarga. Penyebab underweight terdiri dari penyebab langsung dan tidak langsung. Penelitian ini dilakukan untuk mengetahui apakah ada hubungan antara pola konsumsi balita dan pola asuh ibu dengan kejadian underweight pada balita usia 24 – 59 bulan (Studi di wilayah kerja Puskesmas Padang Luas Kabupaten Tanah Laut). Jenis penelitian adalah observasional analitik menggunakan rancangan cross sectional, dilaksanakan di wilayah kerja Puskesmas Padang Luas. Sampel penelitian balita usia 24 – 59  bulan diambil secara Sistematik Purposive Sampling. Variabel yang di teliti pola konsumsi balita dan pola asuh ibu. Analisis data menggunakan uji Spearman. Responden dengan kelompok usia sebagian besar usia 36 – 59 bulan (65,43%), jenis kelamin sebagian besar perempuan (56,79%), kelompok usia ibu sebagian besar 20 – 35 tahun (76,54%), tingkat pendidikan ibu sebagian besar tingkat dasar (64,19%), pekerjaan ibu sebagian besar tidak bekerja (67,90%), pekerjaan ayah sebagian besar petani (45,67%), status gizi balita sebagian besar non underweight (71,60%), pola konsumsi sebagian besar baik (62,96%), pola asuh sebagian besar baik (53,08%). Ada hubungan antara pola konsumsi balita dan pola asuh ibu dengan kejadian underweight pada balita usia 24 – 59 bulan.
Pengaruh Penggunaan Garam Rumput Laut Terhadap Mutu Kimia, Mutu Mikrobiologis dan Mutu Sensoris Ikan Sepat Siam (Trichogaster Pectoralis) Asin Kering
Authors: Inayah Safwah  , Ermina Syainah  , Siti Mas'odah
Published: August 2024

Hipertensi dapat disebabkan oleh konsumsi makanan yang mengandung tinggi natrium salah satunya seperti ikan asin. Ikan asin merupakan makanan yang sangat digemari dan menjadi satu diantara sekian banyak warisan kuliner tradisional yang dikonsumsi sehari-hari oleh masyarakat Kalimantan Selatan. Di Kalimantan Selatan, berdasarkan data dari bidang P2PTM Dinas Kesehatan Provinsi Tahun 2021, hipertensi termasuk dalam 5 penyakit terbanyak urutan pertama dengan jumlah kasus sebanyak 110.649. Penggunaan garam rumput laut dapat menjadi salah satu alternatif garam yang aman di konsumsi pada penderita hipertensi sehingga dapat digunakan dalam mengembangkan produk ikan asin rendah natrium. Penelitian ini untuk mengetahui bagaimana pengaruh penggunaan garam rumput laut dengan konsentrasi garam yang berbeda terhadap kadar garam, cemaran mikrobiologi dan daya terima ikan sepat siam asin kering. Jenis penelitian ini bersifat eksperimen yaitu membuat ikan asin menggunakan garam rumput laut dengan konsentrasi yang berbeda-beda yaitu 10 sampai dengan 20%. Analisis data ini menggunakan uji Friedman dan Anova. Penelitian menunjukkan ada pengaruh perbedaan konsentrasi garam rumput laut terhadap kadar garam, cemaran mikrobiologi dan daya terima ikan sepat siam asin kering. Adapun pada perlakuan P1 (10%) dengan kadar garam 1,28%, P2 (15%) dengan kadar garam 1,52% dan pada P3 (20%) dengan kadar garam (2,23%). Kemudian pada cemaran mikroba pada ikan sepat siam asin kering ini telah memenuhi syarat mutu SNI 01-2721-2009 yaitu maksimal 1,0 x 105. Ada pengaruh konsentrasi garam rumput laut terhadap mutu kimia pada ikan sepat siam asin kering. Dan tidak ada pengaruh konsentrasi garam rumput laut terhadap mutu sensoris pada ikan sepat siam asin kering.
Hubungan Pola Konsumsi, Minuman Berpemanis, dan Sedentary Lifestyle dengan Kejadian Gizi Lebih pada Anak Sekolah
Authors: Nur Laily Rahmawati  , Sajiman  , Mas’odah Siti
Published: August 2024

Anak sekolah rentan mengalami masalah gizi yang akan berpengaruh terhadap masa depan dan kecerdasan intelektual anak. Data Riskesdas Tahun 2018 menunjukkan 20% anak sekolah di Indonesia mengalami gizi lebih. Hasil studi pendahuluan di SDN Semangat Dalam 1 ditemukan 32,7% anak dengan gizi lebih. Penelitian ini bertujuan untuk mengetahui hubungan pola konsumsi, minuman berpemanis, dan sendentary lifestyle dengan kejadian gizi lebih pada anak sekolah. Jenis penelitian ini adalah observasional analitik dengan rancangan cross-sectional. Populasi adalah seluruh siswa kelas IV dan V di SDN Semangat Dalam 1  dengan sampel 63 anak yang diambil dengan teknik simple random sampling. Data pola konsumsi dan minuman berpemanis dikumpulkan dengan metode SQ-FFQ. Data sedentary lifestyle dikumpulkan dengan metode ASAQ yang diperoleh dengan wawancara serta data kejadian gizi lebih diperoleh dengan metode antropometri berdasarkan indeks IMT/U. Analisis data menggunakan uji korelasi Rank Spearman. Hasil penelitian menunjukkan 46% anak gizi lebih, 61,9% pola konsumsi berlebih, 52,4% sering mengonsumsi minuman berpermanis serta 61,9% sedentary lifestyle yang tinggi Penelitian menunjukkan ada hubungan pola konsumsi minuman berpemanis dan sedentary lifestyle dengan kejadian gizi lebih pada anak sekolah.
Pengaruh Edukasi Gizi Menggunakan Media Video Animasi Terhadap Pengetahuan dan Sikap Tentang Pentingnya Sarapan Pagi
Authors: Riska Rahmayanti  , Magdalena
Published: August 2024

Sarapan sangat berpengaruh untuk meningkatkan prestasi anak. Jika anak sekolah tidak sarapan, gula darahnya akan turun, menjadikan kurangnya aktivitas suplai energi ke otak. Tujuan penelitian dilakukan untuk mengetahui pengaruh edukasi gizi menggunakan media video animasi terhadap pengetahuan & sikap tentang pentingnya sarapan pagi di UPTD SMPN 1 Pelaihari. Jenis penelitian adalah quasi experiment menggunakan rancangan pre-test dan post-test with control group.  Sampel dua kelompok yaitu kelompok intervensi 16 orang dan kelompok kontrol 16 orang. Variabel terikat pengetahuan dan sikap tentang sarapan pagi dan variabel bebas penggunaan media video animasi (kelompok intervensi) dan video biasa (kelompok kontrol). Analisis data menggunakan uji Wilcoxon dan Man Whitney. Hasil menunjukkan bahwa ada pengaruh edukasi gizi pentingnya sarapan pagi terhadap pengetahuan sebelum dan sesudah kelompok intervensi (p=<0,05) dan kelompok kontrol (p=<0,05). Ada pengaruh edukasi gizi pentingnya sarapan pagi terhadap sikap sebelum dan sesudah kelompok intervensi (p=<0,05) dan kelompok kontrol (p=<0,05). Ada perbedaan pengetahuan (p=<0,05) dan sikap (p=<0,05) pada kelompok intervensi dan kontrol sesudah diberikan edukasi gizi pentingnya sarapan pagi pada anak sekolah di UPTD SMPN 1 Pelaihari. Kesimpulan, ada  pengaruh edukasi gizi menggunakan media video animasi terhadap pengetahuan & sikap tentang pentingnya sarapan pagi di UPTD SMPN 1 Pelaihari.
Hubungan Pengetahuan, Kebiasaan Merokok dan Aktivitas Fisik dengan Kejadian Hipertensi
Authors: Hermawati Gizi  , Fathurrahman  , Anwar Rosihan
Published: August 2024

Hipertensi merupakan salah satu masalah kesehatan yang cukup berbahaya di seluruh dunia karena hipertensi merupakan faktor resiko utama yang mengarah kepada penyakit kardiovaskular seperti serangan jantung, gagal jantung, stroke dan penyakit ginjal yang dimana penyakit jantung iskemik dan stroke menjadi dua penyebab kematin utama didunia. Penelitian ini bertujuan untuk mengetahui hubungan pengetahuan, kebiasaan merokok dan aktivitas fisik dengan kejadian hipertensi. Jenis penelitian adalah observasional analitik menggunakan rancangan cross sectional dengan metode kuantitatif. Penelitian dilaksanakan di Wilayah Kerja Puskesmas  Antaluddin Kandangan. Sampel penelitian adalah 99 responden diambil secara accidental sampling yaitu sampel yang kebetulan dijumpai oleh peneliti di wilayah kerja Puskesmas Antaluddin Kandangan. Analisis data menggunakan uji rank spearman. Hasil penelitian menunjukkan Kejadian hipertensi lebih banyak pada hipertensi derajat 1 sebesar 60,6% Pengetahuan kategori kurang 68,7%, Kebiasaan Merokok kategori perokok sedang 44,4%, Aktivitas Fisik kategori sedang 53,5%, Analisis uji statistik rank spearman didapatkan nilai p = (0,000) yang berarti ada hubungan yang bermakna pengetahuan dengan Kejadian Hipertensi di wilayah kerja Puskesmas Antaluddin Kandangan, nilai p = (0,002) yang berarti ada hubungan yang bermakna kebiasaan merokok dengan Kejadian Hipertensi di wilayah kerja Puskesmas Antaluddin Kandangan dan nilai p = (0,000) yang berarti ada hubungan yang bermakna aktivitas fisik dengan kejadian Hipertensi di wilayah kerja Puskesmas Antaluddin Kandangan. Saran bagi puskesmas untuk selalu memberikan dan meningkatkan penyuluhan kepada penderita hipertensi secara terus-menerus tentang bagaimana cara mencegah dan mengatasi hipertensi, memberitahukan bahan makanan yang dianjurkan dan tidak dianjurkan, pemasangan poster atau mading mengenai pencegahan dan penanggulangan hipertensi.
Data Quality in Medical Real-World Data – An Oncological Use Case
Authors: Gehrmann Julia , Beyan Oya
Published: August 2024

Data quality deficiencies significantly limit the applicability of real-world data in data-driven medical research. In this study, using an oncological use case, we report and discuss common quality deficiencies in real-world medical datasets, such as missing data, class imbalances, and timeliness issues. We compiled a multi-departmental real-world dataset comprising 13861 cancer cases diagnosed at University Hospital Cologne and examined data quality throughout the data integration process.
A Hybrid-Approach for Privacy Preserving Record Linkage – A Case Study from Germany
Authors: Ostermann Max , Nesterow Igor , Wolfien Markus
Published: August 2024

Over the last decade, the exponential growth in patient data volume and velocity has transformed it into a valuable resource for researchers. Yet, accessing comprehensive, unique patient data sets remains a challenge, particularly when individuals have received treatments across various practices and hospitals. Traditional record linkage methods fall short in adequately protecting patient privacy in these scenarios. Privacy Preserving Record Linkage (PPRL) offers a solution, employing techniques such as data cryptographic methods to identify common patients occurring in multiple datasets, while maintaining the privacy of other patients. This paper proposes an investigation into combined approaches of two common German PPRL tools, namely E-PIX and MainSEL. Each tool, while aiming for ‘privacy preservation’, employs distinct methods that offer unique advantages and drawbacks. Our research aims to explore these in a combined approach to leverage their respective strengths and mitigate their limitations. We anticipate that this synergistic approach will not only enhance data privacy but also allow for easier synchronisation of research data. This study is particularly pertinent in light of evolving privacy regulations and the increasing complexity of healthcare data management. By advancing PPRL methodologies, we aim to contribute to more robust, privacy-compliant data analysis practices in healthcare research.
Detailed Insights into Basal Insulin Adherence in People with Type 2 Diabetes Using a Data-Driven Assessment Method
Authors: Nørlev Jannie , Kronborg Thomas , Hejlesen Ole , Hasselstrøm Morten , Vestergaard Peter , Hangaard Stine
Published: August 2024

Introduction: Basal insulin non-adherence is a challenge in people with type 2 diabetes (T2D). Methods: Using injection data recorded by a connected insulin pen, we employed a novel three-step methodology to assess three aspects of adherence (overall adherence, adherence distribution, and dose deviation) in individuals with insulin-treated T2D undergoing telemonitoring. Results: Among participants, 52% were considered overall adherent. However, deviations from the recommended dose were observed in all participants, with increased and reduced doses being the predominant forms of non-adherence. Conclusions: Our study underscores the prevalence of basal insulin dosing irregularities in individuals with insulin-treated T2D undergoing telemonitoring.
Smart FOX – Enabling Citizen-Based Donation of EHR-Standardised Data for Clinical Research in Austria
Authors: Donsa Klaus , Kreiner Karl , Hayn Dieter , Rzepka Angelika , Ovejero Sofia , Topolnik Michaela , Ziegl Andreas , Pfeifer Bernhard , Neururer Sabrina , Kaltenbrunner Saskia , Klager Elisabeth , Zatloukal Kurt , Zatloukal Bernhard , Schabetsberger Thomas , Garcia Manuel L. , Tanjga Nikola , Schreier Günter
Published: August 2024

Access to healthcare data for secondary use in clinical research is often restricted due to privacy concerns or business interests, hindering comprehensive analysis across patient pathways. The Smart FOX project seeks to address this challenge by developing concepts, methods, and tools to facilitate citizen/patient-driven donations of health data for clinical research. Leveraging the groundwork, laid by the national Electronic Health Record implementation in Austria (called ELGA), Smart FOX aims to harness structured datasets from ELGA for research purposes through an opt-in approach. With funding secured from the Austrian Research Promotion Agency, the project embarks on innovative solutions encompassing governance frameworks, community engagement, and technical infrastructure. The Smart FOX consortium, comprising key stakeholders across various healthcare-associated domains, will evaluate these efforts through demonstrators focusing on clinical registries, patient-generated data, and recruitment services. The project targets to accompany the development of future data donation infrastructure while ultimately advancing clinical research efficiency and bolstering Austria’s preparedness for the European Health Data Space. This paper presents the first systematic evaluation of the technical concept and proposal for the federated system architecture of the Austrian Health Data Donation Space, which is the socio-technical goal of Smart FOX.
CLARA-MeD Tool – A System to Help Patients Understand Clinical Trial Announcements and Consent Forms in Spanish
Authors: Campillos-Llanos Leonardo , Ortega-Riba Federico , Terroba Ana R. , Valverde-Mateos Ana , Capllonch-Carrión Adrián
Published: August 2024

We present an NLP web-based tool to help users understand consent forms (CFs) and clinical trial announcements (CTAs) in Spanish. For complex word identification, we collected: 1) a lexicon of technical terms and simplified synonyms (14 465 entries); and 2) a glossary (70 547 terms) with explanations from sources such as UMLS, the NCI dictionary, Orphadata or the FDA. For development, we extracted entities from 60 CTAs, 60 CFs and 60 patient information documents (PIDs). To prepare definitions for new terms, we used ChatGPT and experts validated them (28.99% needed to be fixed). We tested the system on 15 new CTAs, 15 CFs, and 15 PIDs, and we achieved an average F1 score of 82.91% (strict match) and of 94.65% (relaxed). The tool is available at: http://claramed.csic.es/demo.
Quality Assessment Framework of Clinical Routine Data for Secondary Use
Authors: Cheng Ka Yung , Böhm Ruwen , Bulin Claudia , Jandok Birgit , Schreiweis Björn
Published: August 2024

To systematically and comprehensively identify data issues in large clinical datasets, we adopted a harmonized data quality assessment framework with Python scripts before integrating the data into FHIR® for secondary use. We also added a preliminary step of categorizing data fields within the database scheme to facilitate the implementation of the data quality framework. As a result, we demonstrated the efficiency and comprehensiveness of detecting data issues using the framework. In future steps, we plan to continually utilize the framework to identify data issues and develop strategies for improving our data quality.
A Real-Time Dashboard Approach to Decision Support: An Exercise in Co-Design
Authors: Li Julie , Scowen Craig , Loten Conrad , Eigenstetter Alex , Thomas Judith , Prgomet Mirela , Baysari Melissa , Georgiou Andrew
Published: August 2024

Laboratory tests play an integral role in the delivery of quality health care. However, evidence indicates variations in diagnostic testing, which can lead to patient safety risks. Electronic decision support systems are often identified as key to reducing diagnostic error. However, such tools are often introduced into a clinical setting with little understanding of clinician workflow and how tools are likely to impact this. This study reports a qualitative co-design methodology and results from the first phase in the design and development of an analytics-driven, dashboard approach to supporting clinician test ordering in the Emergency Department.
Technological Aspects of Device-Based Monitoring and the Impact on Hospital Services
Authors: Jansen Anne-Jet , Peters Guido , Kooij Laura , Doggen Carine , van Harten Wim
Published: August 2024

This systematic review examines the components of technology used in device-based monitoring and its impact on hospital service use. The most impactful remote monitoring interventions were those measuring vital signs and behavior, while non-implantable devices had less impact on hospital service use.
Embedding Ethics in the Implementation of a Vital Sign Monitoring Technology
Authors: Meier Eva , Holleboom Minke C. , Gijsbers Harm J. , Bak Marieke , Dusseljee-Peute Linda
Published: August 2024

The implementation of wireless continuous vital sign monitoring (CVSM) technologies changes daily care practices of healthcare professionals, which gives rise to unknown new roles and responsibilities. In this paper we present a study on how we combine the disciplines of medical informatics and ethics in the implementation of the Philips Healthdot, a smart patch for remote CVSM. The aim of this study is to investigate experiences and perspectives on the support levels and roles and responsibilities associated with the integration of smart patches, by conducting interviews with nurses. This interdisciplinary study gives insights into the technological, organizational, and ethical concerns surrounding the implementation of CVSM in healthcare. The findings and analytical approach may provide valuable insights for researching the appropriate implementation of digital health technologies.
Telemedicine and the Digitalisation of Health Services – Perspectives and Overview of Research
Authors: Sauter Julia , Lipka-Matusiak Ilona , Rogiewicz Joanna , Kozłowska Katarzyna , Bielecka-Dąbrowa Agata , Trzmielak Dariusz
Published: August 2024

The paper provides a brief overview of developments in the area of digitalisation of medical services. Key factors for telemedicine goals are identified and a new trend in medical technology development using artificial intelligence is presented. The final part of the article presents an analysis of data from a study on the implementation of telemedicine solutions in cardiology in one of the largest Polish research institutes with two hospitals. Risks and drivers for the development of telemedicine in the assessment of patients in cardiology are identified. E-health solutions connect the needs of patients and technological advances, crossing the barriers of traditional healthcare systems. Telemedicine requires more involvement of the patient in diagnosis, and the ability to recognise worrying symptoms is important for further treatment.
DATOS-CAT: OMOP-Common Data Model for the Standardization, Integration and Analysis of Population-Based Biomedical Data in Catalonia
Authors: Lymperidou Aikaterini , Martinez-Gonzalez Judith , Bracons Cucó Guillem , Frid Santiago , de Cid Rafael , Labarga Alberto
Published: August 2024

Transforming the population based biomedical cohort into the Common Data Model (OMOP-CDM) empowers researchers to access direct sources of information, enabling a deeper understanding of how genetic profiles relate to clinical outcomes and providing new knowledge that can significantly influence health care practices around the world.
Telemonitoring of COPD Patients to Evaluate the “Rome Proposal”
Authors: Jacobson Petra , Lind Leili , Persson Hans Lennart
Published: August 2024

For the first time in a telemonitoring context, we apply the Rome Proposal (RP), recently adopted by GOLD 2023, to assess the severity of exacerbations (ECOPD). So far, we have analysed 387 study weeks, which include only 18 ECOPDs; 4 mild, 13 moderate and 1 severe according to the criteria from RP. There is a promising potential of telemonitoring based on the RP.
Using One App Only – Collecting a Comprehensive Set of Health-Related Data for Prevention of Chronic Conditions
Authors: Årsand Eirik ,   WARIFA Consortium, Muzny Miroslav , Rishaug Tina , Wägner Anna M. , Betancort Carmelo , Granja Conceição , Soguero-Ruiz Cristina , Hartvigsen Gunnar , Namolosanu Mihai , Rinnetmäki Mikael , Henriksen André
Published: August 2024

This paper presents the design, implementation and early tests of an app that collects a comprehensive set of health-related data, as part of the EU-project WARIFA. To achieve the main aim of the project – using AI to prevent chronic conditions – a wide range of data needs to be collected and stored at a backend server for processing. The methods and elements for creating this system are presented, as well as results from the co-creation process and early user-tests. Challenges regarding complexity, security, and privacy are discussed, as well as the needs and prospectives for easier ways of collecting health-related data.
Challenges of Integrating ICD 11 into Automatic Alerting Systems
Authors: Tegegne Masresha Derese , Krips Maike , Ibrahim Islam , Deserno Thomas M.
Published: August 2024

Automatic alerting systems (AASs) can identify adverse health events but emergency communication relies on human operators and natural languages. For complete automation, we need to code the diversity of adverse events in a granularity that supports optimal dispatches. Hence, AAs shall integrate with the International Classification of Diseases (ICD). The ICD-11 coding system includes chapters for external causes of injury. However, ICD-11 supports coding injury incidents in electronic health records (EHRs) after they have occurred, while disregarding integrating real-time injury reporting within its framework. We explore the potential challenges associated with integrating ICD-11 into AAS by analyzing external causes of morbidity or mortality and the dimensions of external causes as potential areas of integration. We recognize the themes: (i) incident of injury, (ii) mode of transport, (iii) indoor location, (iv) outdoor location, and (v) type of building, and identify four challenges: (i) conceptual differences between the two systems, (ii) injury identification, (iii) presence of entities below the shoreline in ICD-11, and (iv) lack of specificity in certain ICD-11 codes related to AASs. For easy integration of ICD-11 into AASs, we recommend an AAS data dictionary and propose ICD-11 updates related to external causes of injury.
Comparing NER Approaches on French Clinical Text, with Easy-to-Reuse Pipelines
Authors: Hubert Thibault , Vaillant Ghislain , Birot Olivier , Arias Camila , Neuraz Antoine , Coulet Adrien
Published: August 2024

The task of Named Entity Recognition (NER) is central for leveraging the content of clinical texts in observational studies. Indeed, texts contain a large part of the information available in Electronic Health Records (EHRs). However, clinical texts are highly heterogeneous between healthcare services and institutions, between countries and languages, making it hard to predict how existing tools may perform on a particular corpus. We compared four NER approaches on three French corpora and share our benchmarking pipeline in an open and easy-to-reuse manner, using the medkit Python library. We include in our pipelines fine-tuning operations with either one or several of the considered corpora. Our results illustrate the expected superiority of language models over a dictionary-based approach, and question the necessity of refining models already trained on biomedical texts. Beyond benchmarking, we believe sharing reusable and customizable pipelines for comparing fast-evolving Natural Language Processing (NLP) tools is a valuable contribution, since clinical texts themselves can hardly be shared for privacy concerns.
Digital Cognitive Test for Early Detection of Dementia
Authors: Vasileiou Olga , Karanikas Haralampos
Published: August 2024

Dementia poses a significant global health problem, necessitating early detection for effective intervention. A literary review was conducted to examine current mobile-based cognitive tests. The limitations of the reviewed applications varied from accessibility to reliability. The paper addresses these limitations by proposing a digital, self-administered version of the Montreal Cognitive Assessment (MoCA) test, with future research focusing on validating the effectiveness of the proposed mobile application in early detection.
Enhancing the Value of the BfArM’s DiGA Directory: Strategies for Improved Usability and Stakeholder Satisfaction
Authors: von Jan Ute , Rieländer Lukas , Albrecht Urs-Vito
Published: August 2024

Germany’s Digital Healthcare Act allows doctors to prescribe digital health applications (DiGAs) for reimbursement. DiGAs must demonstrate safety, data security, and a “positive impact on care” to be listed in the official directory. Previously, data for permanently listed DiGAs was analyzed. The work presented here evaluates additional data fields for the currently listed DiGAs (both provisionally and permanently included) and aims to assess the completeness, details and consistency of the information. The data for this analysis was scraped from the directory and evaluated to identify potential shortcomings in the information provided.
Reference Information Model and Interoperable Architecture for Digital Health Twins: A Position Paper
Authors: Portilla Fernando , Gerdes Martin Wulf , Reichert Frank , Chaltikyan Georgi
Published: August 2024

Digital Health Twins (DHTs) hold immense potential to revolutionize healthcare by providing personalized virtual models of individual patients and their health conditions. This position paper discusses about the needs to overcoming the challenges in standardization and information models for data integration, collection, and visualization for realizing the full potential with digital twin technology. By addressing these challenges, digital health twins can enable better decision-making, enhance patient care, and contribute to the advancement of personalized healthcare solutions.
Approaches for Evaluating Visit-to-Visit Blood Pressure Variability as a Cardiovascular Disease Risk Factor: A Scoping Review
Authors: Lukitasari Mifetika , Jonnagaddala Jitendra , Liaw Siaw-Teng , Jalaludin Bin
Published: August 2024

Visit-to-visit blood pressure variability (BPV) is associated with cardiovascular disease (CVD) and its mortality, independent of mean blood pressure (BP). However, in real world clinical practice this phenomenon is under-appreciated by clinicians. Serial BPV measured at clinical visits are frequently considered random fluctuations. This scoping review aims to review methodologies for estimating BPV, including metrics, frequency of BP measurements, BPV observation and follow-up durations. The review also compares studies that used electronic health record (EHR) data and those that used non-EHR data to assess BPV. We found little or no consensus on metrics used for BPV estimation in either study using EHR or non-EHR data. The non-EHR studies followed a stricter protocol for BP measurement than the EHR-based studies. Both groups of studies used comparable methodologies to estimate BPV.
Harmonizing Microneurography Metadata with Local Data Hubs: A Concept
Authors: Elwes Mayra Roxana , Namer Barbara , Troglio Alina , Kirsten Toralf , Beyan Oya , Kutafina Ekaterina
Published: August 2024

This work aims to improve FAIR-ness of the microneurography research by integrating the local (meta)data to existing research data infrastructures. In the previous work, we developed an odML based solution for local metadata storage of microneurography data. However, this solution is limited to a narrow community. As a next step, we propose the integration into the Local Data Hubs, data-sharing services within NFDI4Health infrastructure. We outline a first concept, that streams chosen data from the established odMLtables GUI.
Development of a Big Data Platform for the Collection and Utilization of Korea Biobank Network Clinical Information
Authors: Im Yun Seon , Oh Seol Whan , Kim Ki-Hoon , Choi Wona , Choi In Young
Published: August 2024

Biobanks serve as vital repositories for human biospecimens and clinical data, promoting biomedical and clinical research. The integration of electronic health records particularly enhances research opportunities in the era of genomics and personalized medicine, improving understanding of tumor development and disease progression. Based on the Korea Biobank Network Common Data Model, it is possible to expand data collection across various diseases. We have developed an innovative big data platform designed to efficiently collect large-scale clinical information within the KBN. By implementing the system structure, data quality management processes, and basic statistical preprocessing functionalities, we have collected data from 136,473 individuals from 2021 to 2023, demonstrating the platform’s continuous and efficient data collection capabilities. Integration with hospital systems and robust quality management ensure the acquisition of high-quality data.
MeDaX: A Knowledge Graph on FHIR
Authors: Mazein Ilya , Gebhardt Tom , Zinkewitz Felix , Michaelis Lea , Braun Sarah , Waltemath Dagmar , Henkel Ron , Wodke Judith A.H.
Published: August 2024

In Germany, the standard format for exchange of clinical care data for research is HL7 FHIR. Graph databases (GDBs), well suited for integrating complex and heterogeneous data from diverse sources, are currently gaining traction in the medical field. They provide a versatile framework for data analysis which is generally challenging for raw FHIR-formatted data. For generation of a knowledge graph (KG) for clinical research data, we tested different extract-transform-load (ETL) approaches to convert FHIR into graph format. We designed a generalised ETL process and implemented a prototypic pipeline for automated KG creation and ontological structuring. The MeDaX-KG prototype is built from synthetic patient data and currently serves internal testing purposes. The presented approach is easy to customise to expand to other data types and formats.
A Framework to Support the Standardized Management of Real-World Data
Authors: Minga Evangelia , Chatzikonstantinou Thomas , Dalamagas Theodore , Stamatopoulos Kostas , Chatzidimitriou Anastasia
Published: August 2024

Relying on our experience on the development of data registration and management systems for clinical and biological data coming from patients with hematological malignancies, as well as on the design of strategies for data collection and analysis to support multi-center, clinical association studies, we designed a framework for the standardized collection and transformation of clinically relevant real-world data into evidence, to meet the challenges of gathering biomedical data collected during daily clinical practice in order to promote basic and clinical research.
A Multi-Label Text Classifier at Publication Level Based on “PubMedBERT + TextRNN” for Cancer Literature
Authors: Ying Zhang , Guanghui Xia , Xiaoying Li , Shishi Tang
Published: August 2024

There is a rapid growth in the volume of data in the cancer field and fine-grained classification is in high demand especially for interdisciplinary and collaborative research. There is thus a need to establish a multi-label classifier with higher resolution to reduce the burden of screening articles for clinical relevance. This research trains a multi-label classifier with scalability for classifying literature on cancer research directly at the publication level. Firstly, a corpus was divided into a training set and a testing set at a ratio of 7:3. Secondly, we compared the performance of classifiers developed by “PubMedBERT + TextRNN” and “BioBERT + TextRNN” with ICRP CT. Finally, the classifier was obtained based on the optimal combination “PubMedBERT + TextRNN”, with P= 0.952014, R=0.936696, F1=0.931664. The quantitative comparisons demonstrate that the resulting classifier is fit for high-resolution classification of cancer literature at the publication level to support accurate retrieving and academic statistics.
Towards Regional Population Health Management: A Prospective Analysis Using the Adjusted Clinical Groups Classification
Authors: Cillessen Felix , Steenbergh Pim , Hofdijk Jacob
Published: August 2024

This research seeks to assess the potential of regionally integrated health management for specific sub-populations, including the incorporation of self-management initiatives. It will achieve this by conducting a thorough stratification analysis of hospital data, utilizing the Adjusted Clinical Groups (ACG) classification system. The approach involves a retrospective review of healthcare data spanning five years, which includes patient demographics, health outcomes, and healthcare utilization metrics. We intend to use the ACG method to classify the patient population into pertinent groups that mirror their health requirements and resource use. The insights obtained from this analysis will be used to create a localized adaptation of the Kaiser Permanente Pyramid Model of Care. This adaptation aims to identify the distribution of costs among patients treated in the Rivierenland Hospital. We anticipate that stratifying data with the ACG method will identify distinct multimorbid subgroups. These subgroups will have unique healthcare requirements. Early interventions and customized health management strategies, based on these insights, could enhance health outcomes and resource efficiency for high-risk patients. This analysis will serve as a foundation for constructive discussions with hospital management and clinical staff, fostering a deeper comprehension of the patients’ burden of disease. It might also foster multidisciplinary collaboration opportunities between medical specialties as with regional healthcare partners such as general practitioners (GPs), mental health and other long-term care organizations. Moreover, we anticipate that self-care initiatives, supported by customized health information, will encourage increased patient engagement and strategies for enhancing lifestyle improvements. This strategy is expected to enable the personalization of advanced care planning based on individual needs profiles, thereby improving the management of complex and chronic conditions, and encouraging self-care practices. Our anticipated findings highlight the potential benefits of a data-informed approach to advancing healthcare outcomes and present opportunities for future investigations to refine and implement such integrated care models across the region.