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WORKSHOP Pengolahan Data Penggunaan Obat Di Rumah Sakit

DIREKTORAT PELAYANAN KEFARMASIAN TAHUN 2020

Rangga Pratama Head of Analytics and Exploration – Consulting Service, SAS Indonesia Profile Summary Rangga has more than 10 years of experience consulting, specialized in Data & Analytics. I have several courses, training and seminar. There are as a speaker at Dashboard with SAS Visual Analytics 2016-2017, Data Mining with SAS Enterprise Miner at PT. Telkomsel 2016, SAS Enterprise Guide Training 2014-2016, Basic Statistics with SAS Enterprise Guide 2014-2016, Basic Programming with SAS 9.4 20142016, Data Mining with SPSS Modeler at PT. Telkomsel 2015, Big Data Analysis at UI 2015, MS Project Training 2010 and as participant at Dashboard with Tableau at PT. Sucofindo 2015, PMO (Project Management Office) Training 2010, SAS Software Analysis 2007 and Stadium General Of Structural Equation Model and Path Analysis 2006. My Educational background is Statistics Science from Bogor Agricultural University.

Selected Experiences:

• Data Scientist at PT. StarCore Analytics. • Statistics Experts at PT. Kacindo in “Analisa Pola Penyediaan dan Pemanfaatan Obat dan Alat Kesehatan” at Kementrian Kesehatan. • Statistics Experts at PT. Kacindo in “Analisa Kepuasan Stakeholder JKN” at Kementrian Kesehatan. • Dashboard Experts at PT. Sucofindo in “Pengembangan Sistem Informasi Kegiatan Pengelolaan Perikanan Tangkap” at KKP • Data Management at PT Multidecon Internal in “Verifikasi dan Validasi Data Penerima Program Perlindungan Sosial” • Data Analyst at PT. Laras Respati Utama on “Pendataan LPG 3 Kg” Project • Data Analyst at FAB for CRM analysis on Unilever Project • Data Analyst at PT Kanta Karya Utama in “Verifikasi Refill LPG Tabung 3 Kg” • Supervisor at Directorat Strategic Planning and Innovation at Gerai Terpadu Indonesia (GTI) • Project Management Officer (PMO) at Bumi Karya Artha (BKA)

Phone : 081210931199 Email : [email protected] [email protected]

Deby Awalya Bonita, S.Stat Data Analyst at Starcore Analytics

[email protected] +6285156590560

PT Exorty Indonesia

Babakan Dramaga, Bogor 16680

Bogor, March 9th 1997

Achievements and Rewards • Runner Up of Starcore Data Science Competition 2018

Education • Statistics, IPB University 2015-2019 • 1 SHS Leuwiliang, Bogor 2012-2015 Work History • Data Analyst at Starcore Analytics (Apr ‘19 – now) • Data Analyst – Wyeth Nutrition (Customer Loyalty Program) 2020

• Participant in a Regional Conference Student Activism University Teknologi Petronas Malaysia 2018 • Quarter Finalist The13th Statistika Ria 2018 • Semifinalist National Statistics Challange Brawijaya University 2018 • Semifinalist Dokter Data Diponegoro University 2018 • Finalist ISC The2nd Indonesia Statistic Conference and Olympiad 2017 • Finalist Yout Summit Madura Trunojoyo University 2017

• Assistant Trainer – SAS EG Anova (Bank Mandiri) 2020 • Assistant Trainer – SAS VA (BIN dan BNPB) 2020 • Statistician – KSO Sucofindo SI (VPTI) 2020 • Data Analyst – Survey Kepuasan Pelanggan PT. PLN Persero 2019 • Data Analyst – Credit Scoring Bank Mandiri Taspen 2019

Organization Experience • Secretary Cominfo Forum for Scientific Studies 2018 • Treasurer II Forum for Scientific Studies 2017

Objektif: 1. 2.

SISTEMATIKA

01 DATA 02 METODOLOGI 03 EPO

DATA

Struktur data pada Sistem Informasi RS Keuangan No RM SEP Nilai Pembayaran

Rekam Medik No RM Kode pasien ICD Tanggal Masuk Tanggal Keluar SEP Kelas

Obat No RM Kode Obat Nama Obat Nama Generik Sediaan Tanggal Jumlah penggunaan

BPJS (Klaim) No RM Kode pasien ICD Tanggal Masuk Tanggal Keluar SEP INA CBG Klaim Kelas

Master Pasien (register) No RM Kode Pasien Nama Jenis Kelamin Tanggal Lahir

Nama Rumah Sakit Alamat : Kabupaten/Kota Provinsi Nama Informan Jabatan Informan Nomor Telepon

DATA PELAYANAN RUMAH SAKIT

: : : : : :

2019 DATA

Jan

Feb

….

Jumlah Tempat Tidur Rata -rata Bed Occupancy Ratio (BOR) per bulan Rata -rata Length of Stay (LOS) Terakreditasi : 5/12/16 Pelayanan Rata-rata pasien rawat inap per hari (orang) Rata-rata resep rawat inap per hari (lembar) Rata-rata resep rawat jalan per hari (lembar)

Supervisor

Informan/Enumerator

(

)

*catatan: informan/enumerato dan supervisor diisi nama lengkap

(

)

Des

EPO OBAT No

Nama Obat

Keterangan Rawat Jalan/ Rawat Inap

Nama Generik

Kekuatan Obat Dalam Mg (Bila Ada)

Sediaan

01

Harga Satuan

Jumlah Penggunaan Obat Jan Feb Dst

Total

CONTOH EPO OBAT No

Nama Obat

Keterangan Rawat Jalan/ Rawat Inap

Nama Generik

Kekuatan Obat Dalam Mg (Bila Ada)

Jumlah Penggunaan Obat Sediaan

01

Harga Satuan

Total Jan

Feb

Dst

 

2

 

2

300

661

2.033

2.994

1

ABBOTIC GRANULES 250 MG

Klaritromisin

250 mg

2

ABILIFY DISCMELT 10 MG

Aripiperazol

10 mg

3

ABILIFY DISCMELT 15 MG

Aripiperazol

15 mg

225

43

 

268

4

ACARBOSE TABLET 100 MG

Akarbose

100 mg

23.999

13.377

17.693

55.069

5

ACARBOSE TABLET 50 MG

Akarbose

50 mg

56.255

80.512

84.339

221.106

6

ACDAT KRIM 5 GR

Natrium fusidat

5 gr

 

335

47

382

DATA KLAIM No

Keterangan Rajal Ranap

ICD-10

Deskripsi

ALOS

Jumlah

tagihan rs (Cost)

Obat (Cost)

Alkes (Cost)

jumlah klaim (BPJS)

CONTOH DATA KLAIM ICD utama hingga ICD sekundernya

No

Keterangan Rajal Ranap

ICD-10

Deskripsi

ALOS

Jumlah

tagihan rs (Cost)

1

Rawat Jalan

Z50.9

Care involving use of rehabilitation procedure, unspecified

 

20424

3.797.720.510

32.288.458

2

Rawat Jalan

Z99.2

Dependence on renal dialysis

 

7310

8.253.186.836

490.115.133

3.309.791.035

3

Rawat Jalan

Z09.8^E14.9 Unspecified diabetes mellitus without complications

 

5264

900.980.277

351.093.438

30.000

4

Rawat Jalan

Z09.8^I63.9

 

4700

915.522.617

646.867.699

-

5

Rawat Jalan

Z09.8^J44.9 Chronic obstructive pulmonary disease, unspecified

 

3135

358.858.168

91.999.633

763.425

6

Rawat Jalan

 

2541

274.513.081

77.651.111

-

Z09.8^I10

Cerebral infarction, unspecified

Essential (primary) hypertension

Obat (Cost)

jumlah klaim (BPJS)

Alkes (Cost)

- 2.417.196.600 6.430.836.100 975.079.800 863.406.500 789.863.500 467.999.700

METODOLOGI

Variabel/ perlakuan yang masih perlu ditambahkan dalam perhitungan EPO

ATC

01

Kekuatan

02

DDD

03

04

Penyamaan Satuan

BASED OPERATION (SUM, COUNT, DLL)

MID

FILTER

LEN

VLOOKUP

FIND

METODOLOGI (EXCEL)

DATA ASLI No

1 2 3 4 5 6 7 8 9 10

Nama Obat

Nama Generik

Sediaan

Oral/ parentheral (Rute)

ABILIFY DISCMELT 10 MG

Aripiperazol

TABLET

O

ACARBOSE TABLET 100 MG

Akarbose

TABLET

O

ACARBOSE TABLET 50 MG

Akarbose

TABLET

O

ACETYLCYSTEINE CAP

N-asetil sistein

TABLET

O

ACYCLOVIR 200 MG

Asiklovir

TABLET

O

ACYCLOVIR 400 MG

Asiklovir

TABLET

O

ACYCLOVIR CR

Asiklovir

TUBE

TD

ADALAT OROS 30

Nifedipin

TABLET

O

AKILEN TT

Ofloksasin

BOTOL

Instill

ALBENDAZOL 400 MG TAB

Albendazol

TABLET

O

Harga

23.034 779 562 350 236 380 3.625 3.700 60.297 317

Kekuatan (mg)

10 100 50 200 200 400 0 30 0 400

Total Jumlah

1.319 13.667 80.519 14.337 1.817 2.313 54 22.625 23 14

ATC

N05AX12 A10BF01 A10BF01 R05CB01 J05AB01 J05AB01 D06BB03 C08CA05 S02AA16 P02CA03

Satuan Ket DDD DDD DDD

15 0,3 0,3 0,5 4 4

DDD (g)

mg g g g g g

o o o o o o

0,015 0,3 0,3 0,5 4 4

30 mg

o

0,03

0,4 g

o

0,4

RJ 135 900 6.642 475 333 0 0 1.380 1 0

Jan RI 0 12 114 808 473 72 10 23 0 0

PENGGUNAAN PERBULAN Feb … Total RJ RI Total RJ RI Total 135 75 0 75 90 0 90 912 690 26 716 840 0 840 6.756 5.177 116 5.293 7.059 159 7.218 1.283 609 1.327 1.936 1.000 1.614 2.614 806 50 0 50 90 32 122 72 225 28 253 84 85 169 10 3 3 6 4 9 13 1.403 1.500 12 1.512 1.628 11 1.639 1 0 0 0 0 0 0 0 0 0 0 0 0 0

OLAH DATA 1. Menyamakan satuan antara “Kekuatan” dengan “DDD” Dengan cara membuat kolom baru. Karena Kekuatannya dalam (mg), maka buat kolom baru DDD dalam (mg) juga.

No

1 2 3 4 5 6 7 8 9 10

Nama Obat

Nama Generik

Sediaan

Oral/ parentheral (Rute)

ABILIFY DISCMELT 10 MG

Aripiperazol

TABLET

O

ACARBOSE TABLET 100 MG

Akarbose

TABLET

O

ACARBOSE TABLET 50 MG

Akarbose

TABLET

O

ACETYLCYSTEINE CAP

N-asetil sistein

TABLET

O

ACYCLOVIR 200 MG

Asiklovir

TABLET

O

ACYCLOVIR 400 MG

Asiklovir

TABLET

O

ACYCLOVIR CR

Asiklovir

TUBE

TD

ADALAT OROS 30

Nifedipin

TABLET

O

AKILEN TT

Ofloksasin

BOTOL

Instill

ALBENDAZOL 400 MG TAB

Albendazol

TABLET

O

Harga

23.034 779 562 350 236 380 3.625 3.700 60.297 317

Kekuatan (mg)

10 100 50 200 200 400 0 30 0 400

Total Jumlah

1.319 13.667 80.519 14.337 1.817 2.313 54 22.625 23 14

ATC

N05AX12 A10BF01 A10BF01 R05CB01 J05AB01 J05AB01 D06BB03 C08CA05 S02AA16 P02CA03

Satuan Ket DDD DDD DDD

15 0,3 0,3 0,5 4 4

DDD (g)

mg g g g g g

o o o o o o

0,015 0,3 0,3 0,5 4 4

30 mg

o

0,03

0,4 g

o

0,4

RJ 135 900 6.642 475 333 0 0 1.380 1 0

Jan RI 0 12 114 808 473 72 10 23 0 0

PENGGUNAAN PERBULAN Feb … Total RJ RI Total RJ RI Total 135 75 0 75 90 0 90 912 690 26 716 840 0 840 6.756 5.177 116 5.293 7.059 159 7.218 1.283 609 1.327 1.936 1.000 1.614 2.614 806 50 0 50 90 32 122 72 225 28 253 84 85 169 10 3 3 6 4 9 13 1.403 1.500 12 1.512 1.628 11 1.639 1 0 0 0 0 0 0 0 0 0 0 0 0 0

OLAH DATA 2. Membuat data yang disusun kebawah. Dengan cara membuat kolom baru “Keterangan RJ/RI”, “Bulan”, “Jumlah Obat”

No

Nama Obat

1 ABILIFY DISCMELT 10 MG 2 ACARBOSE TABLET 100 MG 3 ACARBOSE TABLET 50 MG 4 ACETYLCYSTEINE CAP 5 ACYCLOVIR 200 MG 6 ACYCLOVIR 400 MG 7 ACYCLOVIR CR 8 ADALAT OROS 30 9 AKILEN TT 10 ALBENDAZOL 400 MG TAB

Oral/ Kekuatan Total Satuan Ket Nama Generik Sediaan parentheral Harga ATC DDD DDD (g) (mg) Jumlah DDD DDD (Rute)

Aripiperazol TABLET

O

Akarbose

TABLET

O

Akarbose

TABLET

O

N-asetil sistein TABLET

O

Asiklovir

TABLET

O

Asiklovir

TABLET

O

Asiklovir

TUBE

TD

Nifedipin

TABLET

O

Ofloksasin

BOTOL Instil

Albendazol

TABLET

O

23.034 779 562 350 236 380 3.625 3.700 60.297 317

10 100 50 200 200 400 0 30 0 400

1.319 N05AX12 13.667 A10BF01 80.519 A10BF01 14.337 R05CB01 1.817 J05AB01 2.313 J05AB01 54 D06BB03 22.625 C08CA05 23 S02AA16 14 P02CA03

15 mg 0,3 g 0,3 g 0,5 g 4g 4g

o o o o o o

0,015 0,3 0,3 0,5 4 4

30 mg o

0,03

0,4 g o

0,4

PENGGUNAAN PERBULAN Jan Feb RJ RI Total RJ RI Total RJ 135 0 135 75 0 75 90 900 12 912 690 26 716 840 6.642 114 6.756 5.177 116 5.293 7.059 475 808 1.283 609 1.327 1.936 1.000 333 473 806 50 0 50 90 0 72 72 225 28 253 84 0 10 10 3 3 6 4 1.380 23 1.403 1.500 12 1.512 1.628 1 0 1 0 0 0 0 0 0 0 0 0 0 0

… RI Total 0 90 0 840 159 7.218 1.614 2.614 32 122 85 169 9 13 11 1.639 0 0 0 0

Keterangan RJ/RI

Bulan

Jumlah Obat

RJ RJ RJ RJ RJ RJ RJ RJ RJ RJ

Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan

135 900 6.642 475 333 0 0 1.380 1 0

RI RI RI RI RI RI RI RI RI RI

Jan Jan Jan Jan Jan Jan Jan Jan Jan Jan

0 12 114 808 473 72 10 23 0 0

OLAH DATA 3. Membuat variable “DDD Value” Dengan formula

DDD Value = (Kekuatan(mg) x Jumlah Obat) / DDD(mg) in excel R3 = (G3 x Q3) / N3

DDD Value

OLAH DATA 4. Membuat variable “DDD Value Tertimbang” Dengan formula

DDD Value Tertimbang = IF(Keterangan = RJ; maka DDD value dibagi 11520 dikali 1000; jika RI maka DDD value dibagi 6092 dikali 100)

in excel S3 = IF(O3=“RJ”;(R3/11520)*1000;(R3/6092)*100)) Berikut ni adalah data setahun yang akan diasumsikan menjadi data bulanan dengan cara dibagi 12 Data

Tahun 2019

Data bulanan

Total Hari Rawat Inap

73.107 hari

73.107 / 12 = 6092

Jumlah Pasien Rawat Jalan

138.238 orang

138.238 / 12 = 11520

DDD Value Tertimbang

OLAH DATA 5. Membuat variable “EXPENDITURE” Dengan formula

EXPENDITURE = Harga x Jumlah Obat

in excel T3 = F3 * Q3

Expenditure

OLAH DATA 6. Membuat variable “Level 2” Dengan formula

Level 2 = Mengambil 3 huruf pertama dari variable ATC

in excel U3 = LEFT(I3;3)

Level 2

OLAH DATA 7. Membuat variable “Desc Level 2” Dengan formula

Desc Level 2 = VLOOKUP dari Data Kelas Terapi

in excel V3 = VLOOKUP(U3; =VLOOKUP(U3;'[Kelas terapi.xlsx]master sub grup'!B$1:C$57;2)

Desc Level 2

Data kelas terapi No. 1 2 3 4 5 6 7 8 9 10

ATC B03 H02 A02 J01 C09 C08 M01 B01 C03 L02

NAMA SUBGRUP Antianemic Preparations Corticosteroids For Systemic Use Drugs For Acid Related Disorders Antibacterials For Systemic Use Agents Acting On The Renin-Angiotensin System Calcium Channel Blockers Antiinflammatory And Antirheumatic Products Antithrombotic Agents Diuretics Endocrine Therapy

OLAH DATA 8. Membuat variable “Level 3” Dengan formula

Level 3 = Mengambil 4 huruf pertama dari variable ATC

in excel U3 = LEFT(I3;4)

Level 3

OLAH DATA 9. Membuat variable “Desc Level 3” Dengan formula

Desc Level 3 = VLOOKUP dari Data Kelas Terapi

in excel X3 = VLOOKUP(W3; =VLOOKUP(U3;'[Kelas terapi.xlsx]master sub grup'!B$1:C$57;2)

Desc Level 3

Data kelas terapi Kode ATC A01A A02A A02B A02X A03A A03B A03C A03D A03E A03F A04A

Deskripsi Obat STOMATOLOGICAL PREPARATIONS ANTACIDS DRUGS FOR PEPTIC ULCER AND GASTRO-OESOPHAGEAL REFLUX DISEASE (GORD) OTHER DRUGS FOR ACID RELATED DISORDERS DRUGS FOR FUNCTIONAL GASTROINTESTINAL DISORDERS BELLADONNA AND DERIVATIVES, PLAIN ANTISPASMODICS IN COMBINATION WITH PSYCHOLEPTICS ANTISPASMODICS IN COMBINATION WITH ANALGESICS ANTISPASMODICS AND ANTICHOLINERGICS IN COMBINATION WITH OTHER DRUGS PROPULSIVES ANTIEMETICS AND ANTINAUSEANTS

PIVOT TABLE

PIVOT DATA 1. Membuat TOP 20 Obat berdasarkan DDD Value (Tertimbang) Dengan cara klik: Select All – Insert – Pivot Table ddd value (tertimbang) RI/RJ

(Multiple Items) RI

Row Labels Mecobalamin Metilprednisolon Deksametason Domperidon Omeprazol Asam folat Ketorolak Ranitidin Asam mefenamat Klopidogrel Seftriakson Furosemid Atorvastatin Sukralfat Valsartan Amlodipin Parasetamol Levofloksasin Sefuroksim Budesonid

Sum of ddd value (tertimbang) 15,84% 5,43% 4,81% 4,79% 4,59% 4,04% 3,37% 3,26% 3,01% 2,86% 2,76% 2,29% 2,18% 1,89% 1,85% 1,61% 1,32% 1,27% 1,21% 1,16%

Field List

PIVOT DATA 2. Membuat TOP 20 Kelas (Level 2) berdasarkan DDD Value Tertimbang Dengan cara klik: Select All – Insert – Pivot Table ddd value (tertimbang) (Multiple Items) RI/RJ RI LV2 B03 H02 A02 J01 M01 A03 B01 C09 C03 C01 R03 N02 C10 C08 A12 R05 N05 N03 R06 N06

Lv2 desc Antianemic Preparations Corticosteroids For Systemic Use Drugs For Acid Related Disorders Antibacterials For Systemic Use Antiinflammatory And Antirheumatic Products Drugs For Functional Gastrointestinal Disorders Antithrombotic Agents Agents Acting On The Renin-Angiotensin System Diuretics Cardiac Therapy Drugs For Obstructive Airway Diseases Analgesics Lipid Modifying Agents Calcium Channel Blockers Mineral Supplements Cough And Cold Preparations Psycholeptics Antiepileptics Antihistamines For Systemic Use Psychoanaleptics

Sum of ddd value (tertimbang) 19,88% 10,43% 9,83% 9,41% 7,44% 4,93% 3,98% 3,72% 3,57% 2,91% 2,83% 2,55% 2,41% 2,07% 1,95% 1,82% 1,68% 1,27% 0,93% 0,82%

Field List

PIVOT DATA 3. Membuat TOP 20 Obat berdasarkan Expenditure Dengan cara klik: Select All – Insert – Pivot Table ddd value (tertimbang) RI/RJ

(Multiple Items) RI

Nama Generik Seftriakson Sefuroksim Piracetam Diltiazem Fenitoin Na Ampisilin + Sulbaktam Sefiksim Ketorolak Metamizol Sefotaksim Omeprazol Budesonid Analog insulin : fast acting Meropenem Faktor VIII (konsentrat) Levofloksasin Ranitidin Pregabalin Salbutamol Analog Insulin long acting

Sum of Expenditure 24,64% 11,49% 5,97% 4,87% 4,78% 4,73% 3,44% 3,09% 2,68% 2,62% 2,58% 2,21% 1,76% 1,27% 1,11% 1,02% 0,99% 0,95% 0,86% 0,80%

Field List

PIVOT DATA 4. Membuat TOP 20 Kelas (Level 2) berdasarkan Expenditure Dengan cara klik: Select All – Insert – Pivot Table ddd value (tertimbang) (Multiple Items) RI/RJ RI LV2 J01 N06 N03 C08 A02 N02 M01 R03 A10 B01 B02 C01 H02 C03 N05 B03 C10 A12 R05 A07

Lv2 desc Antibacterials For Systemic Use Psychoanaleptics Antiepileptics Calcium Channel Blockers Drugs For Acid Related Disorders Analgesics Antiinflammatory And Antirheumatic Products Drugs For Obstructive Airway Diseases Drugs Used In Diabetes Antithrombotic Agents Antihemorrhagics Cardiac Therapy Corticosteroids For Systemic Use Diuretics Psycholeptics Antianemic Preparations Lipid Modifying Agents Mineral Supplements Cough And Cold Preparations Antidiarrheals, Intestinal Antiinflammatory/Antiinfective Agents

Sum of Expenditure 51,31% 5,98% 5,86% 5,68% 4,62% 4,30% 3,74% 3,67% 2,72% 1,74% 1,67% 1,38% 0,90% 0,79% 0,67% 0,66% 0,61% 0,57% 0,56% 0,45%

Field List

PIVOT DATA 5. Melihat Kelas Level 3 dari Antibiotik (J01) Dengan cara klik: Select All – Insert – Pivot Table ddd value (tertimbang) (Multiple Items) RI/RJ RI LV2 J01 Lv3 J01A J01B J01C J01D J01F J01G J01M J01X

Lv3 desc TETRACYCLINES AMPHENICOLS BETA-LACTAM ANTIBACTERIALS, PENICILLINS OTHER BETA-LACTAM ANTIBACTERIALS MACROLIDES, LINCOSAMIDES AND STREPTOGRAMINS AMINOGLYCOSIDE ANTIBACTERIALS QUINOLONE ANTIBACTERIALS OTHER ANTIBACTERIALS

Sum of ddd value (tertimbang) Sum of Expenditure 0,03% 0,00% 0,90% 0,21% 7,74% 9,52% 63,04% 85,54% 3,27% 0,17% 3,39% 0,83% 18,25% 2,25% 3,39% 1,47%

Field List

TREND BULANAN

Trend Bulanan Contoh: Level 2 (A02) - Ranitidin

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