Analysis of Respondent Characteristics Regarding The Severity of Community-acquired Pneumonia Patients at Dr. H. Abdul Moeloek Hospital, Lampung.

Community-acquired pneumonia (CAP) is a leading cause of morbidity and mortality worldwide, particularly among the elderly and immunocompromised patients. Various factors, including age, gender, bacterial pattern, comorbidities, and Pneumonia Severity Index (PSI) score, influence CAP severity. Understanding these characteristics is crucial for optimizing treatment strategies and predicting clinical outcomes. This descriptive-analytical cross-sectional study was conducted at Dr. H. Abdul Moeloek Hospital, Lampung, from December 2022 to January 2023. A total of 102 CAP patients were analyzed based on their age, gender, bacterial pattern, comorbidities, and PSI score. Data were processed using IBM SPSS 21.0, with Pearson correlation applied to assess relationships between variables. A statistically significant correlation was found between age and PSI score (p = 0.018), with a low-strength positive correlation (R = 0.234). This suggests that as age increases, CAP severity also increases (p = 0.011). However, no significant correlations were found between PSI score and gender, bacterial pattern, or diabetes mellitus. This study confirms that age is a significant factor influencing CAP severity, emphasizing the need for early screening and intervention in elderly patients. Although gender, bacterial pattern, and diabetes mellitus were not significantly correlated with CAP severity.

Authors

Institutions

Publication Details

Journal
Jurnal Aisyah Jurnal Ilmu Kesehatan
Published
2025-03-28
DOI
https://doi.org/10.30604/jika.v10i1.3096
Primary Topic
Healthcare Quality and Satisfaction
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Respondent Characteristics Regarding The Severity of Community-acquired Pneumonia Patients at Dr. H. Abdul Moeloek Hospital, Lampung.

Retno Ariza Soemarwoto, Gatot Sudiro Hendarto, Adhari Ajipurnomo, Rizki Putra Sanjaya et al.
Jurnal Aisyah Jurnal Ilmu Kesehatan
Healthcare Quality and Satisfaction
article

Analysis of Respondent Characteristics Regarding The Severity of Community-acquired Pneumonia Patients at Dr. H. Abdul Moeloek Hospital, Lampung.

Retno Ariza Soemarwoto, Gatot Sudiro Hendarto, Adhari Ajipurnomo, Rizki Putra Sanjaya, Fransisca Tarida Yuniar Sinaga, Pad Dilangga, Pusparini Kusumajati, M. Junus Didiek Herdato, Lina Herliyana, Apri Lyanda
article en

Abstract

Community-acquired pneumonia (CAP) is a leading cause of morbidity and mortality worldwide, particularly among the elderly and immunocompromised patients. Various factors, including age, gender, bacterial pattern, comorbidities, and Pneumonia Severity Index (PSI) score, influence CAP severity. Understanding these characteristics is crucial for optimizing treatment strategies and predicting clinical outcomes. This descriptive-analytical cross-sectional study was conducted at Dr. H. Abdul Moeloek Hospital, Lampung, from December 2022 to January 2023. A total of 102 CAP patients were analyzed based on their age, gender, bacterial pattern, comorbidities, and PSI score. Data were processed using IBM SPSS 21.0, with Pearson correlation applied to assess relationships between variables. A statistically significant correlation was found between age and PSI score (p = 0.018), with a low-strength positive correlation (R = 0.234). This suggests that as age increases, CAP severity also increases (p = 0.011). However, no significant correlations were found between PSI score and gender, bacterial pattern, or diabetes mellitus. This study confirms that age is a significant factor influencing CAP severity, emphasizing the need for early screening and intervention in elderly patients. Although gender, bacterial pattern, and diabetes mellitus were not significantly correlated with CAP severity.

Jurnal Aisyah Jurnal Ilmu KesehatanVol. 10(1)
Lampung University (ID), Universitas Tulang Bawang Lampung (ID), Universitas Bandar Lampung (ID)
Universitas Lampung
Openalex Percentile: Top 83%
Healthcare Quality and Satisfaction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.