Predictors of delay in seeking treatment by Jordanian patients with acute coronary syndrome

Darawad, Muhammad W.; Alfasfos, Nedal; Saleh, Zyad T.; Saleh, Ali; Hamdan‐Mansour, Ayman M.

doi:10.1016/j.ienj.2015.09.003

Cited by 30 publications

(28 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This discrepancy arises from the common misconception that SUI is not a disease but a natural consequence of ageing and childbirth . Patients with inappropriate illness perceptions usually feel embarrassed if symptoms are sub‐typical because most of them believe that they should seek care only if they have severe pain or symptoms . Furthermore, negative illness perceptions about SUI are able to significantly influence patients' health‐related QOL, and perceiving SUI as an injustice and a challenge was associated with a worse QOL and lower psychological, physical, and social well‐being .…”

Section: Introductionmentioning

confidence: 99%

“…6,9 Patients with inappropriate illness perceptions usually feel embarrassed if symptoms are sub-typical because most of them believe that they should seek care only if they have severe pain or symptoms. 10,11 Furthermore, negative illness perceptions about SUI are able to significantly influence patients' health-related QOL, and perceiving SUI as an injustice and a challenge was associated with a worse QOL and lower psychological, physical, and social well-being. 12 According to Leventhal's Self-Regulatory Model, illness perceptions are considered to affect and be affected by coping strategies and this bidirectional process is considered to be an important pathway in explaining patients' adjustment to illness.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Psychometric validation of the Chinese version of the Illness Perception Questionnaire–Revised for women with stress urinary incontinence

Fan

Huang

Zhang

et al. 2017

J of Obstet and Gynaecol

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Psychometric validation of the Chinese version of the Illness Perception Questionnaire–Revised for women with stress urinary incontinence

Fan

Huang

Zhang

et al. 2017

J of Obstet and Gynaecol

View full text Add to dashboard Cite

show abstract

“…Koroner Akut (SKA) merupakan sekelompok gejala yang diklasifikasikan sebagai angina tidak stabil (ATS), ST-Segment Elevation Myocardial Infarction (STEMI) dan non ST-Segment Elevation Myocardial Infarction (NSTEMI) (Darawad et al, 2015). Data statistik dari…”

Section: Sindromunclassified

Patient's Chest Discomfort Associated With Delay in Reperfusion Therapy Acute Coronary Syndrome

Vinsur

Sargowo²,

Suharsono³

2019

JNSU

View full text Add to dashboard Cite

Acute Coronary Syndrome (ACS) is a group of symptoms that are classify as unstable angina (ATS), ST-Segment Elevation Myocardial Infarction (STEMI) and non ST-Segment Elevation Myocardial Infarction (NSTEMI). Main objective to provide timely reperfusion therapy is essential to improve survival. Initial and rapid intervention after the occurrence of coronary artery disease is associated with better clinical outcomes, but it is hampered by the nature of the patient's seeking decisionsPatients expect the type of heart attack they often see in medical movies and television: like chest pain that grips and causes it to fall to the floor. This study aims to analyze the chest discomfort experienced by patients associated with delay in reperfusion therapy of Acute Coronary Syndrome. The method used is observational analytic with cross sectional approach. Nonprobability sampling with time quota technique obtained sample of 60 respondents. The results obtained as many as 55% of patients come more than 120 minutes after the onset of discomfort in the chest. The patient's delay in coming to the associated hospital is an accompanying symptom factor at onset with p = 0. 048,). There were no significant differences in the scores of knowledge, behavior, and beliefs based on the ACS response index between patients who came <120 minutes and> 120 minutes. The conclusions of this study present the accompanying symptom presentations at onset with the time interval between the appearances of the SKA symptoms until arriving at the IGD door. Seeing the results of this study suggests the need for efforts from medical staff to optimize the interpretation of "chest pain characteristics" to patients and families or who are susceptible about specific and non-specific cardiac signs. ABSTRAKSindrom Koroner Akut (SKA) merupakan sekelompok gejala yang diklasifikasikan sebagai angina tidak stabil (ATS), ST-Segment Elevation Myocardial Infarction (STEMI) dan non ST-Segment Elevation Myocardial Infarction (NSTEMI). Pemberian terapi reperfusi tepat waktu sangat penting untuk meningkatkan kelangsungan hidup. Intervensi awal dan cepat setelah terjadinya penyakit arteri koroner berkaitan dengan hasil klinis yang lebih baik, tetapi hal tersebut terhambat oleh sifat alami keputusan mencari bantuan dari pasien. Pasien mengharapkan jenis serangan jantung yang sering mereka lihat di film dan televisi medis: seperti nyeri dada yang mencengkeram dan menyebabkan jatuh ke lantai. Penelitian ini bertujuan untuk menganalisa ketidaknyamanan dada yang dialami penderita yang berhubungan dengan keterlambatan waktu terapi reperfusi Sindrom Koroner Akut. Metode yang digunakan adalah observasional analitik dengan pendekatan cross sectional. Nonprobability sampling dengan teknik kuota waktu didapatkan sampel sebanyak 60 responden. Hasil penelitian didapatkan sebanyak 55% pasien datang lebih dari 120 menit setelah onsetketidaknyamanan di dada. Keterlambatan pasien datang ke rumah sakit yang berhubungan adalah faktor gejala penyerta saat onset dengan p=0.048, dan OR=4.596...

show abstract

“…Another common line of research related to our study is the analysis of the patient-related factors behind delays/no-shows in seeking care [8][9] [10]. For example, in the mentioned line of research, survey data posterior to patient arrivals can be merged with patient data in the information systems, including time of initial contact and arrival, to discover why patients ended up seeking out for treatment much later in time than they should have.…”

Section: Literaturementioning

confidence: 99%

A Data Mining Framework for the Analysis of Patient Arrivals into Healthcare Centers

2017

View full text Add to dashboard Cite

We present a data mining framework that can be applied for analyzing patient arrivals into healthcare centers. The sequentially applied methods are association mining, text cloud analysis, Pareto analysis, cross-tabular analysis, and regression analysis. We applied our framework using real-world data from a one of the largest public hospitals in the U.A.E., demonstrating its applicability and possible benefits. The dataset used was eventually 110,608 rows in total for the regression models, covering the most utilized 14 hospital units. The dataset is at least 10-fold larger than datasets used in closely-related research. The developed data mining framework can provide the input for a subsequent optimization model, which can be used to optimally assign appointments for patients, based on their arrival patterns. CCS Concepts • Health informatics • Data mining • Information systems • Association rules • Healthcare information systems.

show abstract

Predictors of delay in seeking treatment by Jordanian patients with acute coronary syndrome

Cited by 30 publications

References 30 publications

Psychometric validation of the Chinese version of the Illness Perception Questionnaire–Revised for women with stress urinary incontinence

Psychometric validation of the Chinese version of the Illness Perception Questionnaire–Revised for women with stress urinary incontinence

Patient's Chest Discomfort Associated With Delay in Reperfusion Therapy Acute Coronary Syndrome

A Data Mining Framework for the Analysis of Patient Arrivals into Healthcare Centers

Contact Info

Product

Resources

About