AIM: The main purpose of this study was to determine the level of knowledge and attitudes regarding pain among nurses working in tertiary care in a local setting and the factors that may be associated with this.
MATERIALS AND METHODS: This cross-sectional research study used a modified version of the Nurses' Knowledge and Attitudes Survey (NKAS) regarding pain. Basic demographic data were obtained for further correlation with the level of pain knowledge.
RESULTS: A total of 566 nurses, 34 male and 532 female, volunteered to participate in this study. The response rate (RR) was 76%, with an overall mean percentage score of 42.7±10.9 (range: 5-92.5). The majority of participants were younger nurses below 40 years of age and more than 70% had worked for less than 10 years (6.6±4.45). Up to 92% had never had any formal education in pain management in general. The total mean score of correct answers was 58.6±9.58, with oncology nursing staff scoring a higher percentage when compared with nurses from other general and critical care wards (63.52±9.27, p<0.045). Only 2.5% out of all participants obtained a score of 80% or greater. The majority of the oncology nurses achieved the expected competency level (p<0.03).
CONCLUSIONS: The present findings give further support for the universal concern about poor knowledge and attitudes among nurses related to the optimal management of pain. The results indicated that neither number of years working nor age influenced the level of knowledge or attitudes of the practising nurses. Oncology nursing staff consistently scored better than the rest of the cohort. This reflects that clinical experience helps to improve attitudes and knowledge concerning better pain management.
MATERIALS AND METHODS: This retrospective review concerned data for patients diagnosed with colorectal cancer in the years 1995 to 2011 collected from the Wilayah Persekutuan Health Office, taken from the cancer notification form (NCR-2), and patient medical records from the Surgical Department, Universiti Kebangsaan Malaysia Medical Centre (UKMMC). A total of 146 cases were analyzed. All the data collected were analysed using ArcGIS version 10.0 and SPSS version 19.0.
RESULTS: Patients aged 60 to 69 years accounted for the highest proportion of cases (34.2%) and males slightly predominated 76 (52.1%), Chinese had the highest number of registered cases at 108 (74.0%) and staging revealed most cases in the 3rd and 4th stages. Kernel density analysis showed more cases are concentrated up in the northern area of Petaling and Kuala Lumpur subdistricts. Spatial global pattern analysis by average nearest neighbour resulted in nearest neighbour ratio of 0.75, with Z-score of -5.59, p value of <0.01 and the z-score of -5.59. Spatial autocorrelation (Moran's I) showed clustering significant with p<0.01, Z score 3.14 and Moran's Index of 0.007. When mapping clusters with hotspot analysis (Getis-Ord Gi), hot and cold spots were identified. Hot spot areas fell on the northeast side of KL.
CONCLUSIONS: This study demonstrated significant spatial patterns of cancer incidence in KL. Knowledge about these spatial patterns can provide useful information to policymakers in the planning of screening of CRC in the targeted population and improvement of healthcare facilities to provide better treatment for CRC patients.