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Effectiveness of Technology in the Implementation of Early Stroke Detection Applications: Integration into the Management of High-Risk Patient Care

Public Health of Indonesia · Vol. 12 No. 2 (2026) · hlm. 81–86

DOI
10.36685/phi.v12i2.1621
ISSN
2477-1570, 2528-1542
Terbit
2026-06-18
Penerbit
YCAB Publisher
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Background: Early recognition of stroke symptoms is essential to reduce prehospital delay and improve patient outcomes. However, limited community awareness of stroke warning signs remains a challenge in many primary healthcare settings. Objective: This study aimed to evaluate the association between the D-Stroke mobile application and improvements in knowledge of early stroke detection among community health cadres in a primary healthcare setting. Methods: A quasi-experimental one-group pretest–posttest design was conducted at the Nagaswidak Public Health Center in Palembang. Twenty-eight community health cadres were recruited using a total sampling approach. Participants completed a 10-item knowledge questionnaire before and after one week of application use. Data were analyzed using the Wilcoxon signed-rank test due to non-normal distribution. Effect size (r) was calculated to determine the magnitude of change. Results: The median knowledge score increased from 15.00 (pretest) to 34.00 (posttest). The improvement was statistically significant (Z = −5.683, p =.001). The calculated effect size (r =.80) indicated a large magnitude of change. Conclusion: Use of the D-Stroke application was associated with significant improvement in knowledge of early stroke detection among community health cadres. Mobile-based educational tools may support stroke awareness and early referral capacity in primary healthcare settings; however, further controlled studies are needed to confirm behavioral and clinical impact.

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  • Sekolah Tinggi Ilmu Kesehatan Karya Kesehatan
  • Hasanuddin University
  • Universitas Muhammadiyah Semarang
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Rekan penulisOrganisasiArtikel bersama
Tahiruddin TahiruddinSekolah Tinggi Ilmu Kesehatan Karya Kesehatan4
Syahrul SyahrulHasanuddin University1
Andi Masyitha IrwanHasanuddin University1
Satriya PranataUniversitas Muhammadiyah Semarang1
Siti Hadrayanti AnandaSekolah Tinggi Ilmu Kesehatan Karya Kesehatan1
Mien MienSekolah Tinggi Ilmu Kesehatan Karya Kesehatan1

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Sumber metadata: OAI-PMH (metadata jurnal) http://stikbar.org/ycabpublisher/index.php/PHI/oai, pertama di-harvest 10 Nov 2026, terakhir terlihat 10 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">Effectiveness of Technology in the Implementation of Early Stroke Detection Applications: Integration into the Management of High-Risk Patient Care</dc:title>
	<dc:creator>Triwijayanti, Renny</dc:creator>
	<dc:creator>Rahmania, Annisa</dc:creator>
	<dc:creator>Romiko, Romiko</dc:creator>
	<dc:creator> Indriastuti, Diah</dc:creator>
	<dc:creator>Lonardo, Paray Theo </dc:creator>
	<dc:subject xml:lang="en-US">Community Health Cadres</dc:subject>
	<dc:subject xml:lang="en-US">Early Detection</dc:subject>
	<dc:subject xml:lang="en-US">Mobile Health</dc:subject>
	<dc:subject xml:lang="en-US">Prehospital Care</dc:subject>
	<dc:description xml:lang="en-US">Background: Early recognition of stroke symptoms is essential to reduce prehospital delay and improve patient outcomes. However, limited community awareness of stroke warning signs remains a challenge in many primary healthcare settings.
Objective: This study aimed to evaluate the association between the D-Stroke mobile application and improvements in knowledge of early stroke detection among community health cadres in a primary healthcare setting.
Methods: A quasi-experimental one-group pretest–posttest design was conducted at the Nagaswidak Public Health Center in Palembang. Twenty-eight community health cadres were recruited using a total sampling approach. Participants completed a 10-item knowledge questionnaire before and after one week of application use. Data were analyzed using the Wilcoxon signed-rank test due to non-normal distribution. Effect size (r) was calculated to determine the magnitude of change.
Results: The median knowledge score increased from 15.00 (pretest) to 34.00 (posttest). The improvement was statistically significant (Z = −5.683, p = .001). The calculated effect size (r = .80) indicated a large magnitude of change.
Conclusion: Use of the D-Stroke application was associated with significant improvement in knowledge of early stroke detection among community health cadres. Mobile-based educational tools may support stroke awareness and early referral capacity in primary healthcare settings; however, further controlled studies are needed to confirm behavioral and clinical impact.</dc:description>
	<dc:publisher xml:lang="en-US">YCAB Publisher</dc:publisher>
	<dc:date>2026-06-18</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://stikbar.org/ycabpublisher/index.php/PHI/article/view/1621</dc:identifier>
	<dc:identifier>10.36685/phi.v12i2.1621</dc:identifier>
	<dc:source xml:lang="en-US">Public Health of Indonesia; Vol. 12 No. 2 (2026): April - June; 81 - 86</dc:source>
	<dc:source>2477-1570</dc:source>
	<dc:source>2528-1542</dc:source>
	<dc:source>10.36685/phi.v12i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://stikbar.org/ycabpublisher/index.php/PHI/article/view/1621/794</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Renny Triwijayanti, Annisa Rahmania, Diah  Indriastuti</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-nc/4.0</dc:rights>
</oai_dc:dc>