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Understanding sleep quality among postoperative patients in Intensive Care Unit: A conceptual analysis approach

Jurnal Keperawatan Padjadjaran · Vol. 13 No. 3 (2025) · hlm. 332–344

DOI
10.24198/jkp.v13i3.2762
ISSN
2442-7276, 2338-5324
Terbit
2025-12-30
Penerbit
Faculty of Nursing Universitas Padjadjaran
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0/

Abstrak

Background: Sleep quality is an important yet understudied element influencing postoperative recovery in intensive care units. Considering that there is a lack of consistent knowledge of the quality of sleep, it is difficult to establish appropriate tests and therapies. Objective: To do a conceptual analysis of sleep quality in postoperative intensive care units patients utilizing the Walker and Avant framework, delineating its qualities, antecedents, consequences, and empirical referents. Methods: This study used the Walker and Avant eight-step process for idea analysis, which included a systematic literature evaluation of papers published between 2020 and 2024 in databases such as PubMed, Scopus, ScienceDirect, and ProQuest. Data was evaluated to determine important defining qualities, causes, outcomes, and measurable indicators of sleep quality. Results: The analysis identified four defining attributes of sleep quality: sleep architecture, sleep disturbances, subjective experience, and physiological indicators. Antecedents included environmental noise, lighting, pain, anxiety, and frequent medical interventions. Poor sleep quality was associated with adverse outcomes such as increased delirium risk, delayed wound healing, and prolonged intensive care units stays. Empirical referents included patient-reported tools like the Pittsburgh Sleep Quality Index, polysomnography, and actigraphy. Conclusion: Sleep quality is a multidimensional concept central to postoperative care in intensive care unit. Addressing environmental and psychological factors through targeted interventions can improve sleep quality and enhance recovery outcomes.

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  • University of Indonesia
  • Universiti Teknologi MARA
  • Sekolah Tinggi Ilmu Kesehatan Sint Carolus
  • STIKep PPNI Jawa Barat
  • Ministry of Religious Affairs
  • Universitas dr. Soebandi
  • Universitas Halu Oleo
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Rekan penulisOrganisasiArtikel bersama
Lestari SukmariniUniversity of Indonesia5
Elly NurachmahUniversity of Indonesia4
Sri YonaUniversity of Indonesia3
Ratna SitorusUniversity of Indonesia3
Yati AfiyantiUniversity of Indonesia3
Astuti Yuni NursasiUniversity of Indonesia2
Hanny HandiyaniUniversity of Indonesia2
Rosakawati RosakawatiAfiliasi tidak diketahui2
Edianto EdiantoAfiliasi tidak diketahui2
Ina MartianaUniversitas dr. Soebandi2
Tuti HerawatiUniversity of Indonesia2
Hasmi HasmiUniversitas Halu Oleo1
Usman Barus OhorellaPoltekkes Kemenkes Maluku1
Mohd Nazrul Mohd AminUniversiti Teknologi MARA1
Haaris Hakimi RashidiUniversiti Teknologi MARA1
Azlan Ahmad KamalUniversiti Teknologi MARA1
Zarizi Ab RahmanUniversiti Teknologi MARA1
Salmi RazaliUniversiti Teknologi MARA1
Mohd Sazili ShahibiUniversiti Teknologi MARA1
Mohd Izwan ShahrilAfiliasi tidak diketahui1
Kristina LisumSekolah Tinggi Ilmu Kesehatan Sint Carolus1
Jesika PasaribuSekolah Tinggi Ilmu Kesehatan Sint Carolus1
Yeni AgustinSekolah Tinggi Ilmu Kesehatan Husada Jombang1
Noor DianiLambung Mangkurat University1
Noraliyatun JannahUniversitas Syiah Kuala1
Muhamad Rofi’iAfiliasi tidak diketahui1
Rr. Tutik Sri HariyatiUniversity of Indonesia1
Yeni RustinaUniversity of Indonesia1
Ema HikmahPoltekkes Kemenkes Bandung1
Made SumarwatiJenderal Soedirman University1
Mustikasari MustikasariUniversity of Indonesia1
Achir Yani S. HamidUniversity of Indonesia1
Prima Agustia NovaUniversity of Indonesia1
Chiyar EdisonUniversity of Indonesia1

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Sumber metadata: OAI-PMH (metadata jurnal) http://jkp.fkep.unpad.ac.id/index.php/jkp/oai, pertama di-harvest 9 Nov 2026, terakhir terlihat 9 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Understanding sleep quality among postoperative patients in Intensive Care Unit: A conceptual analysis approach</dc:title>
	<dc:creator>Nurhayati, Nunung</dc:creator>
	<dc:creator>Waluyo, Agung </dc:creator>
	<dc:creator>Kariasa , I Made </dc:creator>
	<dc:creator>Asih, Sali Rahadi</dc:creator>
	<dc:creator>Pujasari, Hening</dc:creator>
	<dc:creator>Hayat, Bahrul</dc:creator>
	<dc:subject xml:lang="en-US">sleep quality</dc:subject>
	<dc:subject xml:lang="en-US">postoperative recovery</dc:subject>
	<dc:subject xml:lang="en-US">intensive care unit</dc:subject>
	<dc:subject xml:lang="en-US">concept analysis</dc:subject>
	<dc:description xml:lang="en-US">Background: Sleep quality is an important yet understudied element influencing postoperative recovery in intensive care units. Considering that there is a lack of consistent knowledge of the quality of sleep, it is difficult to establish appropriate tests and therapies.
Objective: To do a conceptual analysis of sleep quality in postoperative intensive care units patients utilizing the Walker and Avant framework, delineating its qualities, antecedents, consequences, and empirical referents.
Methods: This study used the Walker and Avant eight-step process for idea analysis, which included a systematic literature evaluation of papers published between 2020 and 2024 in databases such as PubMed, Scopus, ScienceDirect, and ProQuest. Data was evaluated to determine important defining qualities, causes, outcomes, and measurable indicators of sleep quality.
Results: The analysis identified four defining attributes of sleep quality: sleep architecture, sleep disturbances, subjective experience, and physiological indicators. Antecedents included environmental noise, lighting, pain, anxiety, and frequent medical interventions. Poor sleep quality was associated with adverse outcomes such as increased delirium risk, delayed wound healing, and prolonged intensive care units      stays. Empirical referents included patient-reported tools like the Pittsburgh Sleep Quality Index, polysomnography, and actigraphy.
Conclusion: Sleep quality is a multidimensional concept central to postoperative care in intensive care unit. Addressing environmental and psychological factors through targeted interventions can improve sleep quality and enhance recovery outcomes.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Nursing Universitas Padjadjaran</dc:publisher>
	<dc:date>2025-12-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/octet-stream</dc:format>
	<dc:identifier>https://jkp.fkep.unpad.ac.id/index.php/jkp/article/view/2762</dc:identifier>
	<dc:identifier>10.24198/jkp.v13i3.2762</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Keperawatan Padjadjaran; Vol. 13 No. 3 (2025): Jurnal Keperawatan Padjadjaran; 332-344</dc:source>
	<dc:source>2442-7276</dc:source>
	<dc:source>2338-5324</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jkp.fkep.unpad.ac.id/index.php/jkp/article/view/2762/458</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2025 Nunung Nurhayati, Agung Waluyo, I made Kariasa , sali rahadi asih, Hening Pujasari, Bahrul Hayat</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0/</dc:rights>
</oai_dc:dc>