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BackgroundHealth care providers are often ill prepared to interact about or make acceptable conclusions on complementary and alternative medicine (CAM) despite its widespread use. We explored the knowledge, attitudes, and practices of health care providers regarding CAM.MethodsThis cross-sectional study was conducted between March 1 and July 31, 2015 among health care providers working mainly in the public sector in Trinidad and Tobago. A 34-item questionnaire was distributed and used for data collection. Questionnaire data were analysed using inferential and binary logistic regression models.ResultsResponse rate was 60.3% (362/600). Responders were 172 nurses, 77 doctors, 30 pharmacists, and 83 other health care providers of unnamed categories (mainly nursing assistants). Responders were predominantly female (69.1%), Indo-Trinidadian (55.8%), Christian (47.5%), self-claimed “very religious” (48.3%), and had <5 years of working experience (40.6%). The prevalence of CAM use was 92.4% for nurses, 64.9% for doctors, 83.3% for pharmacists, and 77.1% for other health care providers. The majority (50–75%) reported fair knowledge of herbal, spiritual, alternative, and physical types of CAM, but had no knowledge of energy therapy and therapeutic methods. Sex, ethnicity, and type of health care provider were associated with both personal use and recommendation for the use of CAM. Predictors of CAM use were sex, religion, and type of health care provider; predictors of recommendation for the use of CAM were sex and type of health care provider. About half of health care providers (51.4%) and doctors (52%) were likely to ask their patients about CAM and <15% were likely to refer patients to a CAM practitioner. However, health care providers expressed interest in being educated on the subject. Doctors (51.9%) and pharmacists (63.3%) said that combination therapy is superior to conventional medicine alone. Less than 10% said conventional medicine should be used alone.ConclusionKnowledge about CAM is low among health care providers. The majority engages in using CAM but is reluctant to recommend it. Predictors of CAM use were sex, religion, and profession; predictors of recommendation for the use of CAM were sex and profession. Health care providers feel the future lies in integrative medicine.

Background: Patients with cardiac disease with or without depression may also have major physical and mental problems. This study assesses and compares the quality of life (QOL) of patients with cardiac disease with and without depression and accompanying comorbidities. Methods: A cross-sectional study was conducted with a convenience sample of 388 patients with cardiac disease. The 12-item Short-Form (SF-12)-patient was used to measure physical component scale (PCS) and mental component scale (MCS) QOL, and the Patient Health Questionnaire (PHQ-9) was used to measure depression. The Charlson Comorbidity Index was used to estimate 10-year survival probability. Descriptive statistics, analysis of covariance (ANCOVA), chi-square tests, and binary logistic regression were used for analysis. Results: The prevalence of minimal to mild depression was 65.7% [(95% CI (60.8, 70.4)] and that of moderate to severe depression was 34.3% [95% CI (29.6, 39.2)]. There was no significant association between the level of PHQcategorised depression and age (p = 0.171), sex (p = 0.079), or ethnicity (p = 0.407). The overall mean PCS and MCS QOL was 32.5 [95% CI (24.4, 40.64)] and 45.4 [95% CI (44.4, 46.4)], respectively, with no significant correlation between PCS and MCS [r (Pearson's) = 0.011; p = 0.830)]. There were QOL differences among the five PHQ categories (PCS: p = 0.028; MCS: p ≤ 0.001) with both MCS and PCS decreasing with increasing depression. ANCOVA (with number of comorbidities as the covariate) showed a significant age × ethnicity interaction for PCS (p = 0.044) and MCS (p = 0.039), respectively. Young Indo-Trinidadians had significantly lower PCS than did Afro-Trinidadians, while the converse was true for MCS. Depression, age, and number of comorbidities were predictors of PCS, while depression, age, and sex were predictors of MCS. Conclusions: Increasing severity of depression worsened both PCS and MCS QOL. Age and level of clinical depression predicted QOL, with number of comorbidities predicting only PCS and sex predicting only MCS. Efforts must be made to treat depression in all age groups of patients with cardiac disease.

BackgroundThe relative importance of coronary artery disease (CAD) risk varies globally. The aim of this study was to determine CAD risk factors for acute myocardial infarction (AMI) among patients in public health care institutions in Trinidad using a case–control type study design.MethodsThe sample comprised 251 AMI patients hospitalized between March 1, 2011 and April 30, 2012 and 464 age- and sex-matched non-AMI patients with no terminal or life-threatening illness and who did not undergo treatment for CAD. SPSS version 19 was used for data analysis that included chi-square tests, unadjusted and adjusted odds ratios (OR) and conditional multiple binary logistic regression.ResultsThere was no difference in age between AMI and non-AMI patients (p = 0.551). Chi-square test revealed that clinical and lifestyle variables including stressful life, diabetes, hypertension, hypercholesterolaemia, ischaemic heart disease (IHD), a family history of IHD (p ≤ 0.001), smoking (p = 0.007) and alcohol consumption (p = 0.013) were associated with AMI; sex (p = 0.441), ethnicity (p = 0.366), age group (p = 0.826) and renal failure (p = 0.487) were not.Both unadjusted and adjusted (for age) ORs showed that the odds of hypertension, IHD and alcohol consumption were greater among AMI patients than among non-AMI patients for males; diabetes and IHD for females; and that the odds of a stressful life was greater among non-AMI patients and were the same for both groups with respect to sex, age > 45 years, hypercholesterolemia, renal insufficiency, and family history of IHD.Conditional multiple logistic regression showed that smoking [OR: 0.274, p ≤ 0.001, 95% CI for OR (0.140, 0.537)], a stressful life [OR: 2.697, p ≤ 0.001, 95% CI for OR (1.585, 4.587)], diabetes [OR: 0.530, p = 0.020, 95% CI for OR (0.310, 0.905)], hypertension [OR: 0.48, p = 0.10. 95% CI for OR (0.275, 0.837)] and IHD [OR: 0.111, p ≤ 0.001, 95% CI for OR (0.057, 0.218)] were the only useful AMI predictors.ConclusionsSmoking, diabetes, hypertension, IHD and decrease stress are useful AMI predictors.

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