2 research outputs found
Evaluation of the notifiable diseases surveillance system in sanyati district, Zimbabwe, 2010-2011
Introduction: the Notifiable disease surveillance system (NDSS) was established in Zimbabwe through the Public Health Act. Between January and August 2011, 14 dog bites were treated at Kadoma Hospital. Eighty-six doses of anti-rabies vaccine were dispensed. One suspected rabies case was reported, without epidemiological investigations. The discrepancy may imply under reporting of Notifiable Diseases. The study was conducted to evaluate the NDSS in Sanyati district.
Methods: a descriptive cross sectional study was conducted. Healthcare workers in selected health facilities in urban, rural, and private and public sector were interviewed using questionnaires. Checklists were used to assess resource availability and guide records review of notification forms. Epi InfoTM was used to generate frequencies, proportions and Chi Square tests at 5% level.
Results: we recruited 69 participants, from 16 facilities. Twenty six percent recalled at least 9 Notifiable diseases, 72% correctly mentioned the T1 form for notification, 39% correctly mentioned the forms completed in triplicate and 20% knew it was a legal requirement to notify. Ninety six percent of respondents indicated willingness to participate, whilst 41% had ever received feedback. Three out of 16 health facilities had T1 forms.
Conclusion: NDSS is useful, acceptable, simple, and sensitive. NDSS is threatened by lack of T1 forms, poor feedback and knowledge of health workers on NDSS. T1 forms and guidelines for completing the forms were distributed to all health facilities, public and private sector. On the job training of health workers through tutorials, supervision and feedback was conducted
Cholera: A comparison of the 2008-9 and 2010 Outbreaks in Kadoma City, Zimbabwe
Introduction: Kadoma City experienced cholera outbreaks in 2008-9, and 2010, affecting 6,393 and 123 people, respectively. A study wasconducted to compare epidemiology of the cholera outbreaks. Methods: a descriptive cross sectional study was conducted, analyzing line list data for the 2 outbreaks. Proportions, means were generated and compared using the Chi Square test at 5% level of significance.Results: cholera cases were similar by gender and age, with the 20-30 years group being most affected. Rimuka township contributed 80% and 100% of city cases in 2008-9 and 2010, respectively, p value=0.000. In 2008-9, 91% of cholera cases presented within 2 days compared to 98% in 2010. Delay seeking treatment increased from 58% to 73% (p value=0.001), with gender, and place equally affected. The 2010 outbreak evolved faster, resulting in higher proportion being managed in CTU. CFR was 2% in 2008-9, and 3.3% in 2010 (p value =0.31). Conclusion: the 2008-9 and 2010 cholera outbreaks were similar by age and gender. Rimuka Township was most affected by the outbreaks. There was worsening of delay seeking treatment. The 2010 outbreak was more rapid, leading to early opening of CTC. CFR was consistently above 1%
