Evidence map›Paper›PMID 39765997›Full record

ArticleHealthcare (Basel, Switzerland)2024

Perceived Health Needs, Social Support, and Depression Among Patients with Myocardial Infarction: A Cross-Sectional Study.

Bushra Alshammari, Fatmah Awad Alrshedy, Awatif M Alrasheeday, Sameer Alkubati, Mohamed Ayoub Tlili, Wiem Aouicha, Maha Dardouri, Sarah Basheer Alshammari, Hanan Qayyadh Alanazi, Teflah Saud Alshammari and 8 more

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Bushra AlshammariMedical Surgical Nursing Department, College of Nursing, University of Hail, Hail 21424, Saudi Arabia.ORCID 0000-0001-9631-8870
Fatmah Awad AlrshedyIrada Mental Health Complex, Hail Health Cluster, Hail 21424, Saudi Arabia.
Awatif M AlrasheedayNursing Administration Department, College of Nursing, University of Hail, Hail 21424, Saudi Arabia.ORCID 0000-0003-1157-8185
Sameer AlkubatiMedical Surgical Nursing Department, College of Nursing, University of Hail, Hail 21424, Saudi Arabia.ORCID 0000-0001-8538-5250
Mohamed Ayoub TliliNursing Administration Department, College of Nursing, University of Hail, Hail 21424, Saudi Arabia.
Wiem AouichaNursing Administration Department, College of Nursing, University of Hail, Hail 21424, Saudi Arabia.
Maha DardouriFaculty of Medicine of Sousse, University of Sousse, Sousse 4000, Tunisia.
Sarah Basheer AlshammariIrada Mental Health Complex, Hail Health Cluster, Hail 21424, Saudi Arabia.
Hanan Qayyadh AlanaziSharaf Hospital, Hail Health Cluster, Hail 55471, Saudi Arabia.
Teflah Saud AlshammariCollege of Nursing, University of Hail, Hail 21424, Saudi Arabia.
Abdullah Ayad AlharbiIrada Mental Health Complex, Hail Health Cluster, Hail 21424, Saudi Arabia.
Nashi Masnad AlreshidiNursing Executive Administration, Hail Health Cluster, Hail 55471, Saudi Arabia.ORCID 0000-0002-5864-084X
Hind Abdullah AlrashediIrada Mental Health Complex, Hail Health Cluster, Hail 21424, Saudi Arabia.
Nouf Shannan AlshammariForensic Medical Services Center, Ministry of Health, Hail 55211, Saudi Arabia.
Farhan AlshammariDepartment of Pharmaceutics, College of Pharmacy, University of Hail, Hail 21424, Saudi Arabia.ORCID 0000-0002-5055-6256
Afrah Madyan AlshammariDepartment of Maternal and Child Health Nursing, College of Nursing, Jouf University, Sakaka 72388, Saudi Arabia.ORCID 0009-0008-1481-014X
Abeer Nuwayfi AlruwailiDepartment of Nursing Administration and Education, College of Nursing, Jouf University, Sakaka 72388, Saudi Arabia.ORCID 0000-0003-3345-4300
Sahar Maziad AlshammariDepartment of Maternal and Child Health, College of Nursing, University of Hail, Hail 21424, Saudi Arabia.

Funding

University of Ha’il Saudi Arabia GR-24 002
6 · The paper itself

Abstract

backgroundCardiovascular diseases are the leading cause of mortality globally. Myocardial infarction (MI), a major type of cardiovascular disease, presents long-term challenges for patients. Recognizing patients' perceived health needs and the factors that influence them is crucial for providing comprehensive care and improving outcomes.

aimThis paper explores the perceived health needs, levels of depression, and social support among MI patients, as well as investigates the correlations between these factors.

methodsA cross-sectional study was conducted at King Salman Specialist Hospital from March to June 2024, enrolling 244 MI patients through convenience sampling. Data collection was performed using the following three validated questionnaires: the Cardiac Patient Learning Needs Inventory (CPLNI) to assess the learning needs of MI patients, the Patient Health Questionnaire-9 (PHQ-9) to evaluate depression levels, and the Oslo Social Support Scale (OSSS-3) to measure social support. Statistical analysis was carried out using IBM SPSS Statistics, Version 27.

resultsPatients aged 40 years or older and those who were employed exhibited greater learning needs (

conclusionsAddressing both the physical and psychological needs is essential for MI patients. Comprehensive educational programs and mental health support services are necessary for improving outcomes. Personalized patient education and routine depression screenings should be integrated into post-MI care. Future research should examine longitudinal changes in learning needs and mental health status.

Indexed as

depressionlearning needsmyocardial infarctionsocial support

Identifiers

PMID39765997
PMCPMC11727848

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.