Quality of health care with regard to detection and treatment of mental disorders in patients with coronary heart disease (MenDis-CHD): study protocol

Mental disorders (MD) are associated with an increased risk of developing coronary heart disease (CHD) and with higher CHD-related morbidity and mortality. There is a strong recommendation to routinely screen CHD patients for MDs, diagnosis, and treatment by recent guidelines. The current study aimed at mapping CHD patients' (1) state of diagnostics and, if necessary, treatment of MDs, (2) trajectories and detection rate in healthcare, and (3) the influence of MDs and its management on quality of life and patient satisfaction. The design was a cross-sectional study in three settings (two hospitals, two rehabilitation clinics, three cardiology practices). CHD patients were screened for MDs with the Hospital Anxiety and Depression Scale (HADS), and, if screened-positive, examined for MDs with the Structured Clinical Interview for DSM-IV (SCID-I). Quality of Life (EQ-5D), Patient Assessment of Care for Chronic Conditions (PACIC), and previous routine diagnostics and treatment for MDs were examined. Descriptive statistics, Chi-squared tests, and ANOVA were used for analyses. Analyses of the data of 364 patients resulted in 33.8% positive HADS-screenings and 28.0% SCID-I diagnoses. The detection rate of correctly pre-diagnosed MDs was 49.0%. Physicians actively approached approximately thirty percent of patients on MDs; however, only 6.6% of patients underwent psychotherapy and 4.1% medication therapy through psychotherapists/psychiatrists. MD patients scored significantly lower on EQ-5D and the PACIC. The state of diagnostic and treatment of comorbid MDs in patients with CHD is insufficient. Patients showed a positive attitude towards addressing MDs and were satisfied with medical treatment, but less with MD-related advice. Physicians in secondary care need more training inadequately addressing mental comorbidity.

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“…URL: https://www.drks.de/drks_web/ navigate.do?navigationId = trial.HTML&TRIAL_ID = DRKS00012434. For the study protocol, see [ 21 ].…”

Section: Methodsmentioning

confidence: 99%

Detection and treatment of mental disorders in patients with coronary heart disease (MenDis-CHD): A cross-sectional study

et al. 2020

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“…The data collected and presented in this article originate from the research project MenDis-CHD (Mental disorders in patients with coronary heart disease). 18 Members of MenDis-CHD contributed to the development and conduct of this study. The study has been approved by the Ethics Committee of the Medical Faculty of the University of Cologne (reference number: 17-220).…”

Section: Methodsmentioning

confidence: 99%

Comparison of Patient and Proxy Assessment of Patient-Centeredness in the Care of Coronary Heart Disease: A Cross Sectional Survey Using the PACIC-S11.1

Vennedey

Peltzer

Shukri

et al. 2020

J Prim Care Community Health

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Introduction: When making medical care more patient-centered, surveys on patients’ and their relatives’ experiences can be helpful in identifying opportunities for improvement. In cases where the targeted patients are unable to express their own perspective, for example, due to them being too young or suffering from severe impairments, proxies can serve as substitutes. Proxies are frequently used in care planning and consent. Nevertheless, it is unclear whether patients’ assessments of how patient-centered their medical care is are similar to those of their proxies. This study aims to assess the level of consistency between patients’ and their proxies’ assessments using an adapted version of the Patient Assessment of Chronic Illness Care (PACIC) short form questionnaire. Methods: In a cross-sectional study, patients with coronary heart disease were recruited at cardiologists’ offices, rehabilitation clinics and hospitals. Participants were surveyed with regard to the perceived level of patient-centeredness during their care using an adapted version of the German PACIC short form (PACIC-S11.1). Correlations in the assessments made by each patient and their respective proxy were analyzed. On the level of the patients group and the relatives group differences between mean ratings for each item were compared using paired t-tests. Results: In total, 74 pairs of patients and proxies submitted the completed questionnaire. On the level of the individual patient/proxy pairs, no correlation, or significant but low correlation, was found between the ratings. On the group level, patients’ and their proxies’ item ratings were similar in the interpretation of averages, but still demonstrated statistically significant differences. Overall, patients rated their care as more patient-centered than their proxies did. Conclusion: The study shows that, on the individual level, proxies’ ratings do not necessarily reflect the patients’ assessment of PCC. On the group level, the assessments of relatives regarding PCC are similar to those of the patients. Trial registration German clinical trials register (Deutsches Register Klinischer Studien, DRKS) Registration Number: DRKS00012434 (URL: https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00012434 )

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“…The myocardial infarction resulting from CHD has been found to be one of the leading reasons for incapacity or mortality in cardiac disorder sufferers that constitute a severe hazard to the human life [ 3 ]. It has been established that individuals with CHD have a high hazard of subsequent cardiovascular disorders containing myocardial infarction (MI), stroke, and chronic heart failure (CHF) [ 4 , 5 ]. With a significant increase in aging population, CHD combined with CHF has emerged as a major challenge worldwide, which can lead to utilization of excessive medical resources and aggravate patients' burden [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Weighted Gene Coexpression Network Analysis Identifies Crucial Genes Involved in Coronary Atherosclerotic Heart Disease

Bao

2022

Disease Markers

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Background. Coronary atherosclerotic heart disease (CHD) is a lethal disease with an unstated pathogenic mechanism. Therefore, it is urgent to develop innovative strategies to ameliorate the outcome of CHD patients and explore novel biomarkers connected to the pathogenicity of CHD. Methods. The weighted gene coexpression network analysis (WGCNA) was carried out on a coronary atherosclerosis dataset GSE90074 to determine the crucial modules and hub genes for their prospective relationship to CHD. After the different modules associated with CHD have been identified, the Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enriched pathway analyses were conducted. The protein-protein interaction (PPI) network was thereafter performed for the critical module using STRING and Cytoscape. Results. The yellow module was recognized as the most critical module associated with CHD. The enriched pathways in the yellow module included those related to inflammatory response, positive regulation of extracellular signal-regulated kinase1/2 (ERK1/2) cascade, lipid catabolic process, cellular response to oxidative stress, apoptotic pathway, and NF-kappa B pathway. Further CytoHubba analysis revealed the top five hub genes (MMP14, CD28, CaMK4, RGS1, and DDAH1) associated with CHD development. Conclusions. The current study provides the prognosis, novel hub genes, and signaling pathways for treating coronary atherosclerosis. However, their potential biological roles require deeper investigation.

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Quality of health care with regard to detection and treatment of mental disorders in patients with coronary heart disease (MenDis-CHD): study protocol

Cited by 13 publications

References 54 publications

Detection and treatment of mental disorders in patients with coronary heart disease (MenDis-CHD): A cross-sectional study

Detection and treatment of mental disorders in patients with coronary heart disease (MenDis-CHD): A cross-sectional study

Comparison of Patient and Proxy Assessment of Patient-Centeredness in the Care of Coronary Heart Disease: A Cross Sectional Survey Using the PACIC-S11.1

Weighted Gene Coexpression Network Analysis Identifies Crucial Genes Involved in Coronary Atherosclerotic Heart Disease

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