ANALISIS KEPUTUSAN (DECISION ANALYSIS) Decision Analysis “Systematic quantitative approach for assessing the relative value of one or more different decision options”
Langkah-Langkah Dalam Decision Analysis Identifikasi Keputusan yg spesifik Keputusan yg akan dievaluasi didefinisikan dgn jelas Apakah tujuan dr penelitian? Berapa lama analisis akan dilakukan? Dari perspektif mana penelitian dilakukan? Contoh : keputusan untuk menentukan apakah antibiotika yg baru bisa ditambahkan dalam formularium? Perspektif : institusi Lama analisis : episode terapi ( sekitar 2 minggu)
Langkah-Langkah Dalam Decision Analysis Menentukan alternatif terapi yang paling efektif Terapi standard membandingkan 2 atau lebih pilihan terapi 5 macam obat golongan statin Intervensi vs tanpa intervensi Contoh : antibiotika baru (A) dengan antibiotika standar yang sudah digunakan (B)
Langkah-Langkah Dalam Decision Analysis Menggambar struktur analisis keputusan Terdiri dari : choiche nodes, chance nodes, & terminal nodes Choiche nodes merupakan pilihan keputusan (misal antibiotika A & antibiotika B) Chanche nodes : kemungkinan yang akan terjadi (misalnya, probabilitas sembuh atau mengalami efek samping) Terminal nodes : outcome akhir dari pilihan yang dibuat (dalam nilai mata uang atau QALYs)
Struktur pohon keputusan Infection Antibiotic A Antibiotic B Clinical succes Clinical failure Clinical succes Clinical failure No adverse events Adverse events No adverse events No adverse events No adverse events Adverse events Adverse events Adverse events
Langkah-Langkah Dalam Decision Analysis Menentukan biaya, outcome, dan probabilitas Probabilitas pd setiap chance nodes & nilai = 1 Konsekuensi : outcome moneter, outcome terkait kesehatan, atau keduanya.
Estimates for Antibiotic Example Antibiotic A Antibiotic B Probability of clinical succes 90% 80% Cost of antibiotic per course of therapy $600 $500 Probability of adverse events 10% 15% Cost of treating adverse events $1000 $1000
Langkah-Langkah Dalam Decision Analysis Menghitung perkiraan biaya per terapi Expected Value = nilai A x probabilitas A + nilai B X probabilitas +………….+ nilai n x probabilitas n ICER = Δ costs = $700 - $650 = $500 utk tiap keberhasilan Δ outcomes 0,90 – 0,80
Calculation for the Antibiotic example outcome cost probability Cost x probability Antibiotic A Succes with no adverse events $600 0,9 x 0,9 = 0,81 $486 Succes with adverse events $600+$1000 0,9 x 0,1 = 0,09 $144 Failure with no adverse events $600 0,1 x 0,9 = 0,09 $ 54 Failure with adverse events $600+$1000 0,1 x 0,1 = 0,01 $ 16 Total for antibiotic A 1 $700 Antibiotic B Succes with no adverse events $500 0,8 x 0,85 = 0,68 $340 Succes with adverse events $500+$1000 0,8 x 0,15 = 0,12 $180 Failure with no adverse events $500 0,2 x 0,85 = 0,17 $ 85 Failure with adverse events $500+$1000 0,2 x 0,15 = 0,03 $ 45 Total for antibiotic A 1 $650
Infection Antibiotic A Antibiotic B Clinical succes Clinical failure Clinical succes Clinical failure No adverse events Adverse events No adverse events No adverse events No adverse events Adverse events Adverse events Adverse events Antibiotic B : $650 $700 $650 0,90 0,10 0,80 0,20 0,90 0,10 0,90 0,10 0,85 0,15 0,85 0,15 (1) $600 (2) $1600 (3) $600 (4) $1600 (5) $500 (6) $1500 (7) $500 (8) $1500
Sensitivity Analysis for the Antibiotic Example variable Range : low estimate – high estimate Antibiotic A : overall costs Antibiotic B: overall costs Δ overall costs : A-B Base case $ 700 $ 650 + $50 Cost of treating adverse events L=$500 H=$2500 $650 $850 $575 $875 +$75 -$25 Cost per course of therapy for Antbc. A L=$400 H=$800 $500 $900 $650 $650 -$150 +$250 Cost per course of therapy for Antbc. B L=$350 H=$750 $700 $700 $500 $900 +$200 -$200 Probability of adverse events for Antbc. A L=7% H=15% $670 $750 $650 $650 +$20 +$100 Probability of adverse events for Antbc. B L=10% L=25% $700 $700 $600 $750 +$100 -$50