Qualitative data is often subjective, rich, and consists of in-depth information normally presented in the form of words. Analysing qualitative data entails reading a large amount of transcripts looking for similarities or differences, and subsequently finding themes and developing categories. Traditionally, researchers ‘cut and paste’ and use coloured pens to categorise data. Recently, the use of software specifically designed for qualitative data management greatly reduces technical sophistication and eases the laborious task, thus making the process relatively easier. A number of computer software packages has been developed to mechanise this ‘coding’ process as well as to search and retrieve data. This paper illustrates the ways in which NVivo can be used in the qualitative data analysis process. The basic features and primary tools of NVivo which assist qualitative researchers in managing and analysing their data are described

The explosion of biomedical publishing makes keeping up with the primary studies an impossible task. The often disparate, confusing and contradicting findings of individual studies makes healthcare professionals turn to review articles where knowledge has been collated and published in summaries. Narrative reviews lack rigorous, systematic and reproducible synthesis. In contrast, systematic reviews are conducted using systematic and explicit methods to identify, select and critically appraise relevant research, and to collect and analyse data from the studies that are included in the review. The final pathway for systematic review is a statistical summary of the results of primary studies, or meta-analysis. This article provides some guidelines to health care providers in understanding the key aspects of systematic review and meta-analysis. Steps involved in systematic review are discussed. The potential pitfall of meta-analysis was also explored.

Systematic review is a comprehensive review of research findings in which all of the primary studies are systematically identified, appraised and summarised using an explicit and reproducible methodology. Meta-analysis is the statistical component of a systematic review in which combinable studies are drawn together via a statistical process. Systematic reviews and meta-analyses are routinely being used in the evidence-based approach to medicine. These short notes intend to highlight important terms in systematic-review and meta-analysis. It is a beginner’s guide for health care professional of any discipline involved in research or practice who seeks to gain more comprehensive understanding of important terms used in systematic review and meta-analysis.

Prevalence and signs and symptoms of menopause have been extensively studied among Malaysian women but no one had investigated the level of knowledge and perception of menopause. This study aimed to examine the knowledge and perception of menopause among young to middle aged women (15 to 49 years old). A cross-sectional survey using 20-items questionnaire was conducted in three randomly chosen districts in Federal Territory, Kuala Lumpur. Women in this survey were aware of the meaning of the term menopause and its symptoms. However, the majority lacked comprehensive understanding about the health risks associated with menopause. Commonly cited sources of knowledge were magazines and family members. Lack of official sources for accurate information on menopause was reported. Communication with health care personnel regarding menopause was uncommon. An exploration into respondents’ perceptions on menopause revealed that the majority displayed positive thinking towards menopause. Young respondents seemed to have better perception regarding menopause compared to middle aged women. Although the women had good knowledge about menopause, they expressed feelings of sadness and nervousness upon the approach of their own menopause. Our data provides insight on the knowledge and perception of menopause that will guide future public health initiatives for premenopausal women in order for them to cope better when approaching this stage of life cycle.

Intake and Output (I/O) records in hospitals were often found to be incomplete and illegible. The form used to record I/O is not user-friendly — i.e., they feature miniscule boxes, ‘total’ lines that do not correspond with shift changes and lack of instructions. Complaints often received from Specialists & Doctors regarding calculation errors or no totalling of I/O. Moreover, Nursing Sisters objective rounds often saw incompleteness of I/O chart. This study aims to identify the types of mistakes in recording the existing I/O chart. The second aim is to find out whether shift totalling of I/O chart helps in reducing mistakes. We try to determine whether the identified mistakes were repeated in the new I/O Chart. This study was conducted from October till December 2010 in 9 selected wards in Sibu Hospital. Data collection was divided into 3 phases. A pre-implementation audit using a checklist was carried out. The compliance rate of completeness of documentation of I/O Chart was 63%. A one month trial of new I/O chart was being done in the selected 9 wards. Post implementation audit showed a significant improvement of compliance rate (88%). Feedback from health care workers (N=110) showed that, 89% of doctors (n=17) and 60% of nurses (n=93) in the sample prefer to use the new format as more practical and relevant to the changing shift of nurses and doctors’ ward round. It is suggested to implement the new format to increase compliance rate of documentation of I/O charting. Briefing should be given to nurses periodically and the new format should be introduced to nursing students in nursing colleges.
Documentation ; Forms and Records Control ; Nursing Records ; Charts ; Medical Errors