CLINICAL EPIDEMIOLOGY &
RESEARCH METHODOLOGY (CERM)
Quality Research in Clinical and Health Sciences
WELCOME TO QUALITY RESEARCH
Guides to quality planning, conducts and reporting of research in clinical & health sciences.
Quality research in clinical and health sciences is important because they are studying about human life. High-quality research is about studying relevant health conditions and people, using accurate and reliable methods and measures, analyses and reporting useful results completely and comprehensively. There is a clear research guidance through this whole process (see the brief descriptions further), from the beginning to the end for every responsible researcher ie. the evidence producers. This understanding will also make them astute evidence users and appraisals of scientific evidence.
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BIO
My Story
Currently an associate professor in family medicine in University Putra Malaysia. Has a focused research interest in type 2 diabetes mellitus (T2DM), medical education and primary healthcare services. Previous experience working in national diabetes registry that examined determinants of diabetes care at public healthcare facilities. Experienced in emotional intelligence aspect of undergraduate education, personal aspiration of post-graduate training of general practitioners, ethical issues and evidence-based in family medicine training. Past studies included job satisfaction of family medicine specialist (FMS) and primary healthcare professionals, and perception of other public healthcare professionals towards FMS. Thus, have an inclination towards psychological aspects of medical care and delivery services. Other chonic diseases of interest is the primary care for cancer patients, empowerment of self-care in patients with T2DM and hypertension, chronic care model in primary care, patient-centred care, shared-care and decision-making.
Above all, seeing a huge need and has a great interest in overcoming the challenges to optimal care for the T2DM patients at the primary care level. Looking into the most minimal and effective psychological interventions to alleviate emotional distress among these patients for the improvement in quality of life.Â
Graduated with a PhD degree from the Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands. Obtained a medical degree from University Science Malaysia in 1999. Started professional life as a house officer at University Malaya Medical Centre (UMMC) till 2000, since when worked in Sarawak few districts' community clinics such as that at Tebekang, Tebedu, Serian and Kota Samarahan till 2003. Graduated with a master degree in Family Medicine from University Malaya in 2007.



THEORETICAL DESIGN
19 May 2020
This is the first step in any research planning. It is a most crucial step that is often dealt with lightly because of the more luring second step. At this stage, a research question is designed to answer a clinical problem. Theoretical design of a research question invariably involves a thorough literature review and effective collaboration with the right experts and clinicians, and increasingly welcomes the input of the study’s end-users or patients. A well-developed research question will have an initial hypothesis of the possible relations between the causes and the outcome.
DATA COLLECTION DESIGN
19 May 2020
This is the second step where different methods for collection of data is considered and decided on in order to be most appropriate with regards to the theoretical design and efficient in its conduct. At a given level of validity, there are different options in the design of data collection. Nevertheless, the effort at this stage of design is to achieve the highest possible validity, the lowest risk of biases with respect to available resources, and existing constraints.
The designs of data collection can be described fully in three aspects of the following:
i. Experimental or non-experimental
ii. Census or sampling
iii. Time feature


STATISTICAL DESIGN
19 May 2020
This step is usually almost pre-decided by the preceding two steps. However, pre-specified statistical strategy, including the decision to dichotomise any continuous data at certain cut-points, sub-group analysis or sensitive analyses are recommended in the study proposal and protocol to prevent data dredging and data-driven reports that predispose to bias results. Notwithstanding that the aforementioned practice is discouraged, epidemiological research is, by the very nature of its objects, statistical research. Hence, it should be acceptable that, in the presence of persistent associations between any variables in the exploration of the data collected, with plausible underlying mechanism; the statistical methods used to produce the results should be explicitly explained and are reported.
COMPLETE & COMPREHENSIVE REPORTING
19 May 2020
The ultimate of research reporting is to present findings succinctly and disseminate clinical research in timely manners through either conference proceedings or journal publication. Concise and explicit, with all the necessary details that enable replication and judgment of its applicability, are the guiding principles in clinical studies reporting. Reporting a clinical study has been likened to writing a compelling story in the introduction and discussion, sandwich the scientific description of the study methods and results in between. The gist of a compelling story in a clinical report or paper presents an overview of the research area and at what point and why the present study joins in the introduction section. In the discussion section, the paper reports how the present study has filled the story gap, and to what credible extend, concluding the key findings as to the morals of the story and the inevitable consequences of the present study to the contemporary clinical practice as the story-in-waiting. Nevertheless, a great research paper is almost always born out of a well-planned study, adorned by it being told persuasively and reported accurately and completely.
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