Mapping of Indonesians' Skin Type Based on Baumann Skin Type Indicator-Indonesia and Development of Artificial Intelligence Modelling

Mapping of Indonesians' Skin Type Based on Baumann Skin Type Indicator-Indonesia (BSTI-Ina) Questionnaire and Development of Artificial Intelligence Modelling BSTI-Ina: A Multicentric Study

The goal of this observational study is to learn about the skin type of Indonesians based on Baumann Skin Type Indicator Questionnaire in Indonesian language version, and to develop artificial intelligence modelling of BSTI-Ina. The main questions it aims to answer are:

1. What is the measurement of the validity and reliability of BSTI-Ina questionnaire year 2006 version which was adapted from BSTI questionnaire in English language year 2006 version as a specific measurement to identify skin type?
2. What is the measurement of the validity and reliability of BSTI-Ina questionnaire year 2022 version which was adapted from BSTI questionnaire in English language year 2022 version as a specific measurement to identify skin type?
3. What is the comparison of the validity and reliability between BSTI-Ina questionnaire year 2006 and year 2022 to determine Indonesian adult population's skin type?
4. How is the mapping of Indonesians' skin type based on BSTI-Ina?
5. What is the proportion of each skin type based on BSTI-Ina in Indonesian population?
6. What is the proportion of each skin type based on BSTI-Ina in Indonesian population sociodemographically?
7. How can Artificial Intelligence help categorize skin type based on BSTI-Ina automatically?

Participants are males and females between 18-59 year old. Participants will be asked to fill BSTI-Ina questionnaire. Participants then will be photographed in five different positions.

Study Overview

• Status: Active, not recruiting
• Conditions: Baumann Skin Type Indicator

Detailed Description

This research is an observational study with a cross-sectional design. The aims of this study is to determine the validity and reliability of BSTI questionnaire translated in Indonesian and to develop artificial intelligence modelling for BSTI-Ina based on photographs. This study will be held in 13 research centers with a total of 1950 subjects consists of males and females age 18-59. It conducts of 2 phases. Phase 1 is to determine which version of BSTI will be used based on which one is more valid and reliable being translated in Indonesian and will be conducted in Jakarta as a pilot. In phase 1, participants will be asked to fill both BSTI-Ina 2006 and 2002 questionnaire. Participants then will be photographed in five different positions. Data will be analyzed to determine which of BSTI-Ina version is more valid and reliable. After deciding which BSTI-Ina version will be used, the study then goes to phase 2. Phase 2 will be conducted in 12 other research centers in Indonesia to map Indonesian population skin type. In both 2 phases, all participants will be asked to fill in BSTI-Ina questionnaire (either 2006 or 2022 version based on the result of Phase 1). Participants then will be photographed in five different positions. After all the data from all research centers are collected, data will be analyzed to map Indonesian population's skin type. Data as participants' skin types and photographs will also be processed by machine to model artificial intelligence. The aim is to automatically categorize skin type based on BSTI-Ina based on photographs.

• Study Type: Observational
• Enrollment (Estimated): 1950

Contacts and Locations

• Study Contact: Name: Irma Bernadette, MD; Phone Number: +62818130761; Email: irma_bernadette@yahoo.com

Study Locations

• Indonesia
  • Bali
    • Denpasar, Bali, Indonesia, 80113
      • Rumah Sakit Umum Pusat Prof. Dr. I Goesti Ngoerah Gde Ngoerah
      • Contact: I Gusti Ayu A Praharsini, MD; Phone Number: +628123888794
  • Central Java
    • Semarang, Central Java, Indonesia, 50244
      • Rumah Sakit Umum Pusat Dr. Kariadi
      • Contact: Puguh Riyanto, MD; Phone Number: +628113319892
    • Surakarta, Central Java, Indonesia, 57126
      • Rumah Sakit Umum Daerah Dr. Moewardi
      • Contact: Arie Kusumawardani, MD; Phone Number: +628122840012
  • DKI Jakarta
    • Jakarta Pusat, DKI Jakarta, Indonesia, 10430
      • Rumah Sakit Umum Pusat Nasional Dr. Cipto Mangunkusumo
      • Principal Investigator: Irma BS Sitohang, MD
      • Sub-Investigator: Hanny Nilasari, MD
      • Sub-Investigator: Sandra Widaty, MD
      • Sub-Investigator: Irwan Batubara, MD
      • Contact: Irma BS Sitohang, MD; Phone Number: +62818130761; Email: irma_bernadette@yahoo.com
  • East Java
    • Malang, East Java, Indonesia, 65112
      • Rumah Sakit Umum Daerah Dr. Saiful Anwar
      • Contact: Shinta Murlistyarini, MD; Phone Number: +6281325466699
    • Surabaya, East Java, Indonesia, 60286
      • Rumah Sakit Umum Daerah Dr. Soetomo
      • Contact: Diah M Indramaya, MD; Phone Number: +628123037841
  • North Sulawesi
    • Manado, North Sulawesi, Indonesia, 95262
      • Rumah Sakit Umum Pusat Prof. dr. R. D. Kandou
      • Contact: Marlyn G Kapantow, MD; Phone Number: +628124302030
  • North Sumatra
    • Medan, North Sumatra, Indonesia, 20154
      • Rumah Sakit Universitas Sumatera Utara
      • Contact: Nelva K Jusuf, MD; Phone Number: +62811651432
  • South Sulawesi
    • Makassar, South Sulawesi, Indonesia, 90245
      • Rumah Sakit Umum Pusat Dr. dr. Wahidin Sudirohusodo
      • Contact: Asnawi Madjid, MD; Phone Number: +6281342765752
  • South Sumatra
    • Palembang, South Sumatra, Indonesia, 30126
      • Rumah Sakit Umum Pusat Dr. Mohammad Hoesin
      • Contact: Yuli Kurniawati, MD; Phone Number: +628127150511
  • Special Region Of Yogyakarta
    • Yogyakarta, Special Region Of Yogyakarta, Indonesia, 55281
      • Rumah Sakit Umum Pusat Dr. Sardjito
      • Contact: Flandiana Yogianti, MD; Phone Number: +6282138470777
  • West Java
    • Bandung, West Java, Indonesia, 40161
      • Rumah Sakit Umum Pusat Dr. Hasan Sadikin
      • Contact: Reti Hindritiani, MD; Phone Number: +628156022505
  • West Sumatra
    • Padang, West Sumatra, Indonesia, 25171
      • Rumah Sakit Umum Pusat Dr. M. Djamil
      • Contact: Satya W Yenny, MD; Phone Number: +628126617869

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult
• Accepts Healthy Volunteers: Yes

• Sampling Method: Non-Probability Sample

Study Population

General adult population

Description

Inclusion Criteria:

• Males and females age 18-59 year old.
• Fitzpatrick's skin type III-V
• Educational degree of minimum high school
• Can speak Indonesian
• Can read
• Willing to participate and sign informed consent

Exclusion Criteria:

• Participant who doesn't fill the questionnaire completely
• Participant with skin disease involving >25% facial area

Study Plan

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort
General; This research is an observational study. There's no control and experimental group.

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
Baumann Skin Type Indicator questionnaire 2006 version in Indonesian language	Adapting Baumann Skin Type Indicator questionnaire 2006 version to Baumann Skin Type Indicator questionnaire 2006 version in Indonesian language by certified translators	Up to 2 weeks
Baumann Skin Type Indicator questionnaire 2022 version in Indonesian language	Adapting Baumann Skin Type Indicator questionnaire 2022 version to Baumann Skin Type Indicator questionnaire 2022 version in Indonesian language by certified translators	Up to 2 weeks
More valid and reliable version of Baumann Skin Type Indicator-Ina questionnaire (2006 or 2022 version)	Comparing between Baumann Skin Type Indicator-Ina questionnaire 2006 version and 2022 version by statistician	Up to 1 month
Mapping of Indonesian population's skin type based on Baumann Skin Type Indicator-Ina	Determine the proportion of Indonesia population's skin type based on Baumann Skin Type Indicator in 13 research centers	Up to 2 months
Capability of artificial intelligence model to categorize skin type based on Baumann Skin Type Indicator-Ina	Data such as participants' skin types and photographs will be analyzed by machine resulting AI to categorize skin type automatically by photographs.	Up to 1 month

Collaborators and Investigators

• Sponsor: Dr.dr.Irma Bernadette, SpKK (K)
• Collaborators: Indonesian Society of Dermatology and Venereology; College of Dermatologist and Venereologist; Indonesia Medical Education and Research Institute
• Investigators: Principal Investigator: Irma Bernadette, MD, Faculty of medicine, University of Indonesia; Study Director: Hanny Nilasari, MD, Faculty of medicine, University of Indonesia; Study Director: Sandra Widaty, MD, Faculty of medicine, University of Indonesia; Study Director: Nelva K Jusuf, MD, Faculty of Medicine, University of North Sumatra; Study Director: Puguh Riyanto, MD, Faculty of Medicine, Diponegoro University; Study Director: Asnawi Madjid, MD, Faculty of Medicine, Hasanuddin University; Study Director: Marlyn G Kapantow, MD, Faculty of Medicine, Sam Ratulangi University; Study Director: I Gusti Ayu A Praharsini, MD, Faculty of Medicine, Udayana University; Study Director: Reti Hindritiani, MD, Faculty of Medicine, Padjadjaran University; Study Director: Diah M Indramaya, MD, Faculty of Medicine, Airlangga University; Study Director: Yuli Kurniawati, MD, Faculty of Medicine, Sriwijaya University; Study Director: Satya W Yenny, MD, Faculty of Medicine, Andalas University; Study Director: Arie Kusumawardani, MD, Faculty of Medicine, Sebelas Maret University; Study Director: Shinta Murlistyarini, MD, Faculty of Medicine, Brawijaya University; Study Director: Flandiana Yogianti, MD, Faculty of Medicine, Gadjah Mada University; Study Director: Aria Kekalih, MD, Faculty of medicine, University of Indonesia; Study Director: Prasandhya A Yusuf, PhD, Indonesia Medical Education and Research Institute, University of Indonesia; Study Director: Eric D Tenda, MD, Indonesia Medical Education and Research Institute, University of Indonesia; Study Director: Vanya V Valindria, PhD, Indonesia Medical Education and Research Institute, University of Indonesia; Study Director: Sari Chairunnisa, MD, Paragon Technology & Innovation; Study Director: Irwan Batubara, MD, Faculty of medicine, University of Indonesia

Study record dates

Study Major Dates

• Study Start (Actual): September 8, 2023
• Primary Completion (Estimated): November 1, 2023
• Study Completion (Estimated): December 1, 2023

Study Registration Dates

• First Submitted: April 5, 2023
• First Submitted That Met QC Criteria: May 3, 2023
• First Posted (Actual): May 6, 2023

Study Record Updates

• Last Update Posted (Actual): September 28, 2023
• Last Update Submitted That Met QC Criteria: September 26, 2023
• Last Verified: September 1, 2023

More Information

Terms related to this study

• Keywords: artificial intelligence; skin type; Baumann Skin Type Indicator
• Other Study ID Numbers: MappingofBSTI

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: UNDECIDED

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No