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Cross-culture adaptation and validation of Indonesian language version of Pittsburgh Sleep Quality Index

International Journal of Public Health Science · Vol. 13 No. 4 (2024) · pp. 1672–1678

DOI
10.11591/ijphs.v13i4.23439
ISSN
2620-4126, 2252-8806
Published
2024-12-01
Publisher
Intelektual Pustaka Media Utama
Language
eng
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Hemodialysis (HD) patients have a high rate of poor sleep. The Pittsburgh Sleep Quality Index (PSQI) is the most popular self-reported instrument to measure sleep quality. No study has tested the psychometric efficiency of the Bahasa (Indonesian language) PSQI in hemodialysis (HD) patients, and no cross-cultural adaptation has been done. The purpose of this research was to translate the PSQI into Bahasa and improve its psychometric properties for use in evaluating HD patients in Indonesia. This study used instrument translation, cultural adaptation, content validation, and equivalence to crossculturally validate and adapt an instrument. The hemodialysis center at a West Java medical facility served as a source of potential HD patients throughout the period of October 2022 to February 2023. A content validity index (CVI) was calculated for each item and the entire scale. The factor structure of the Bahasa PSQI has been evaluated by confirmatory factor analysis and internal consistency was calculated using Cronbach's alpha. The online survey received a response rate of 62.8% from a total of 220 patient with HD (about ten responders each item). The level of language clarity was 87.8%, and the level of cultural relevance was 84.5%. The CVI varied from 0.92 to 1.00. Each factor had factor loading ranging from 0.51 to 0.62. that Cronbach alpha for total score was 0.803, and the subscale ranged from 0.771 to 0.863. Our research provides preliminary evidence of the validity and reliability of the translated and adapted tool using data from HD patients in Indonesian hospitals.

Collaboration network of the authors

40 authors · 109 co-authorship links · 1 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Trisakti
  • Tadulako University
  • State University of Semarang
  • Yogyakarta State University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Siti FathonahAffiliation unknown3
Dadang MakmunAffiliation unknown3
Hasan MaulahelaAffiliation unknown3
Hamzah ShatriAffiliation unknown3
Octavianti ParamitaAffiliation unknown2
Nikko DarnindroAffiliation unknown2
Ari F SyamAffiliation unknown2
Marcellus SimadibrataAffiliation unknown2
Murdani AbdullahAffiliation unknown2
Kaka RenaldiAffiliation unknown2
Ari Fahrial SyamAffiliation unknown2
Pudji AstutiUniversitas Trisakti1
Nursanti Izzatullaili AdnaniAffiliation unknown1
Muhammad AnsoriAffiliation unknown1
Putri HammidhaAffiliation unknown1
Paramita OktaviantiAffiliation unknown1
Wahyuningsih WahyuningsihTadulako University1
Umi KholifahAffiliation unknown1
Bambang Sugeng SuryatnaAffiliation unknown1
Ailan RomadhonAffiliation unknown1
Milkhatu Fuadatin NikmahAffiliation unknown1
Regina Nur HikmahAffiliation unknown1
Karsinah KarsinahAffiliation unknown1
Retno Sri IswariState University of Semarang1
Rina RachmawatiAffiliation unknown1
Bela Siska KristantiAffiliation unknown1
Mila NovitaAffiliation unknown1
Jurica LucyandaAffiliation unknown1
Fadil PermanaAffiliation unknown1
Tifani MargarethaAffiliation unknown1
Slamet SuyantoYogyakarta State University1
Zafrullah ZafrullahAffiliation unknown1
Rachmat PramuktyAffiliation unknown1
Yuniar MulyaniAffiliation unknown1
Walim LiliAffiliation unknown1
Khasanatur RosyidahAffiliation unknown1
Khoiruddin MuchtarAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) http://ijphs.iaescore.com/index.php/IJPHS/oai, first harvested 8 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Cross-culture adaptation and validation of Indonesian language version of Pittsburgh Sleep Quality Index</dc:title>
	<dc:creator>Fauzi, Achmad</dc:creator>
	<dc:creator>Ahmedy, Fatimah</dc:creator>
	<dc:creator>Rosidah, Rosidah</dc:creator>
	<dc:description xml:lang="en-US">Hemodialysis (HD) patients have a high rate of poor sleep. The Pittsburgh Sleep Quality Index (PSQI) is the most popular self-reported instrument to measure sleep quality. No study has tested the psychometric efficiency of the Bahasa (Indonesian language) PSQI in hemodialysis (HD) patients, and no cross-cultural adaptation has been done. The purpose of this research was to translate the PSQI into Bahasa and improve its psychometric properties for use in evaluating HD patients in Indonesia. This study used instrument translation, cultural adaptation, content validation, and equivalence to crossculturally validate and adapt an instrument. The hemodialysis center at a West Java medical facility served as a source of potential HD patients throughout the period of October 2022 to February 2023. A content validity index (CVI) was calculated for each item and the entire scale. The factor structure of the Bahasa PSQI has been evaluated by confirmatory factor analysis and internal consistency was calculated using Cronbach's alpha. The online survey received a response rate of 62.8% from a total of 220 patient with HD (about ten responders each item). The level of language clarity was 87.8%, and the level of cultural relevance was 84.5%. The CVI varied from 0.92 to 1.00. Each factor had factor loading ranging from 0.51 to 0.62. that Cronbach alpha for total score was 0.803, and the subscale ranged from 0.771 to 0.863. Our research provides preliminary evidence of the validity and reliability of the translated and adapted tool using data from HD patients in Indonesian hospitals.</dc:description>
	<dc:publisher xml:lang="en-US">Intelektual Pustaka Media Utama</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2024-12-01</dc:date>
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	<dc:identifier>https://ijphs.iaescore.com/index.php/IJPHS/article/view/23439</dc:identifier>
	<dc:identifier>10.11591/ijphs.v13i4.23439</dc:identifier>
	<dc:source xml:lang="en-US">International Journal of Public Health Science (IJPHS); Vol 13, No 4: December 2024; 1672-1678</dc:source>
	<dc:source>2620-4126</dc:source>
	<dc:source>2252-8806</dc:source>
	<dc:source>10.11591/ijphs.v13i4</dc:source>
	<dc:language>eng</dc:language>
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	<dc:rights xml:lang="en-US">Copyright (c) 2024 Institute of Advanced Engineering and Science</dc:rights>
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