METHODS: A cross-sectional study design with mixed qualitative and quantitative approaches was employed and data collection was carried out primarily using self-administered questionnaire.
RESULTS: Approximately half (52.5%, n = 74) of all respondents (n = 141) reported having personally encountered at least one case of academic dishonesty involving their peers. The results also revealed the significantly higher prevalence of various forms of academic misconduct among healthcare academics compared to their non-healthcare counterparts. Although respondents were generally conscious of the negative implications associated with academic dishonesty, more than half of all cases of misconduct were not reported due to the indifferent attitude among academics. Low levels of self-discipline and integrity were found to be the major factors leading to academic misdeeds and respondents opined that university managements should be more proactive in addressing this issue.
CONCLUSIONS: The outcome of this study should serve as a clarion call for all relevant stakeholders to start making immediate amends in order to improve the current state of affairs in academia.
RESULTS: Important issues were identified during the data harmonisation process relating to data ownership, sharing methodologies and ethical concerns. Measures were assessed across eight domains; demographic; dietary; clinical and anthropometric; medical history; hypertension knowledge; physical activity; behavioural (smoking and alcohol); and biochemical domains. Identifying validated measures relevant across a variety of settings presented some difficulties. The resulting GACD hypertension data dictionary comprises 67 consensus measures. Of the 14 responding teams, only two teams were including more than 50 consensus variables, five teams were including between 25 and 50 consensus variables and four teams were including between 6 and 24 consensus variables, one team did not provide details of the variables collected and two teams did not include any of the consensus variables as the project had already commenced or the measures were not relevant to their study.
CONCLUSIONS: Deriving consensus measures across diverse research projects and contexts was challenging. The major barrier to their implementation was related to the time taken to develop and present these measures. Inclusion of consensus measures into future funding announcements would facilitate researchers integrating these measures within application protocols. We suggest that adoption of consensus measures developed here, across the field of hypertension, would help advance the science in this area, allowing for more comparable data sets and generalizable inferences.