Hasil Pencarian  ::  Simpan CSV :: Kembali

"Latar Belakang: Meskipun kontroversial, hospital readmission (HR) dapat mencerminkan keadaan pasien saat dipulangkan dan sebagai indikator untuk mengevaluasi mutu perawatan rumah sakit (RS). Penelitian ini bertujuan untuk mengetahui insidensi dan faktor risiko HR pada pasien infeksi intrakranial.Metode Penelitian: Studi kohort retrospektif pasien infeksi intrakranial periode April 2019-November 2021, menggunakan data Indonesian Brain Infection Study dan telusur rekam medis. Analisis bivariat menggunakan uji Chi Square dan Mann Whitney, dilanjutkan dengan analisis multivariat regresi logistik.Hasil: Insidensi HR pasien infeksi intrakranial sebesar 28,45%. Mayoritas subjek mengalami HR sebelum 30 hari (64,7%). Penyebab HR terbanyak adalah penyakit lain yang berbeda dengan diagnosis awal (55,9%). Komorbid penyakit ginjal meningkatkan risiko HR (aOR=7,2, IK 95%=2,2-23,8,p=0,000). Gejala klinis saat perawatan awal berupa kelemahan motorik dan kejang juga meningkatkan risiko HR (aOR=2,27,IK 95%=1,28-4,01, p=0,001) dan (aOR=1,93,IK 95%=1,02-3,62, p=0,037). Sedangkan ketersediaan pelaku rawat dapat menurunkan risiko HR (aOR=0,07,IK 95%=0,03-0,45, p=0,002).Kesimpulan: Insidensi HR pada pasien infeksi intrakranial dalam waktu 6 bulan sebesar 28,45%. Penyakit ginjal, gejala klinis kelemahan motorik dan kejang pada perawatan awal merupakan faktor yang dapat meningkatkan risiko HR, sedangkan ketersediaan pelaku rawat merupakan faktor yang dapat menurunkan risiko HR. 

---

Background: Although controversial, hospital readmission (HR) can reflect the patient's condition at discharge and as an indicator to evaluate the quality of hospital care. This study aims to determine the incidence and risk factors for HR in intracranial infections.

Method: A retrospective cohort study of intracranial infection patients, in period April 2019-November 2021, using secondary data from the Indonesian Brain Infection Study and tracing medical records. Bivariate analysis using Chi Square and Mann Whitney test, followed by multivariate logistic regression analysis.

Results: The incidence of HR in patients with intracranial infections was 28.45%. The majority of subjects experienced HR before 30 days (64.7%). The most common cause of HR was other diseases that were different from the initial diagnosis (55.9%). Kidney disease comorbidity increased HR risk (aOR=7.2;95%CI=2.2-23.8;p=0.000). Clinical symptoms during initial treatment such as motor weakness and seizures also increased the risk of HR (aOR=2.27;95%CI=1.28-4.01;p=0.001) and (aOR=1.93;95%CI=1.02-3.62;p=0.037). Meanwhile, the availability of caregivers can reduce HR risk (aOR=0.07;CI 95=0.03-0.45;p=0.002).  

Conclusion: The incidence of HR in patients with intracranial infection within 6 months was 28.45%. Kidney disease, motor weakness and seizures are factors that can increase the risk of HR, while the availability of caregivers is a factor that can reduce the risk of HR."

"Sistem pembayaran INA-CBG dalam JKN diduga meningkatkan kejadian readmisi, didefenisikan sebagai kasus rawat-inap kembali pasien dalam waktu kurang 30 hari dengan kondisi Sama (diteliti dalam 4 model readmisi yaitu CMG/Adjacent-DRG/Severity-Level/Diagnosis-Primer Sama), cara pulang rawatan sebelumnya sembuh, pada rumah sakit yang Sama. Hanya satu kasus readmisi dihitung dalam 30 hari dari tanggal pemulangan pasien pada rawatan pertama per-periode-kasus-readmisi. Desain penelitian potong-lintang dengan data sekunder klaim rawat-inap Rumah Sakit wilayah BPJS-Kesehatan Cabang Sukabumi terverifikasi, data tahun 2015.Kejadian readmisi didapatkan pada 11 dari 13 Rumah Sakit untuk keempat model readmisi diteliti, terbanyak pada Readmisi-CMG-Sama, dan paling sedikit pada Readmisi-Severity-Sevel-Sama. Variabel independen adalah kepemilikan RS, Kelas/Tipe RS, diagnosis klinis (CMG, jenis-rawat-inap, Severity-Level, Diagnosis-Primer), selisih biaya, dan LOS (Length of Stay). Analisis multivariat menunjukkan variabel diagnosis-primer (kategori-kronis) dan severit-level (kategori-akut) paling berpengaruh. Selisih biaya negatif dan LOS yang lebih rendah tidak terbukti memiliki risiko readmisi lebih tinggi.Diagnosis Congestive Heart Failure dan Typhoid Fever memiliki kekerapan readmisi tinggi sekaligus diagnosis dengan selisih biaya positif tertinggi. Diagnosis Chemoterapy Session for Neoplasm, Aplastic Anaemia (unspecified), dan End-stage Renal Disease perlu mendapat perhatian karena kekerapan readmisi tinggi dan selisih biaya minus tertinggi. Risiko biaya total lebih 2 kali dari biaya kasus original (initial-admission).

---

The INA-CBG payment system in JKN is suspected to increase the incidence of readmission, defined as a case of patient re-hospitalization in less-than-30-days under the same conditions (studied in 4 readmission models of same- CMG/Adjacent-DRG/Severity-Level/Diagnosis-Primer), previous case recovered, at the same hospital. Only one case of readmission was calculated within-30-days from the date of discharge in the initial-admission per- readmission-case-periode. This is a cross-sectional study design with secondary data of verified-inpatient-claims of the Hospital of BPJS-Kesehatan-Sukabumi- Branch in 2015.

The incidence of readmission was found in 11 of the 13 Hospitals of all four models, mostly in the same-CMG-readmission, and at least at the same-severity- level-readmission. The independent variables are hospital-ownership, hospital- types, clinical-diagnosis (CMG, inpatient-type, Severity-Level, Primary- Diagnosis), cost-difference, and LOS (Length of Stay). Multivariate analysis shows the primary diagnosis-type (chronic-category) and severity-level (acute- category) most influential. A lower-negative-cost and lower-LOS are not shown to have a higher risk of readmission.

Diagnosis Congestive-Heart-Failure and Typhoid-Fever have high readmission frequency as well as diagnosis with the highest positive-cost-difference. Diagnosis of Chemotherapy Session for Neoplasm, Aplastic Anaemia (unspecified), and End-stage Renal Disease need attention because of high read-list-frequency and highest-minus-cost-difference. The total cost risk is more than 2 times the original-admissions cost."