Surveillance of imported hospital requiring malaria in Portugal: can it be improved?

Although eradicated in Portugal, malaria keeps taking its toll on travellers and migrants from endemic countries. Completeness of hospital requiring malaria notification in Portugal 2000-11 was estimated, using two-source capture-recapture method. Data sources were: national surveillance database of notifiable diseases and the national database of the Diagnosis-Related Groups resulting from National Health Service (NHS) hospital episodes. The completeness of notification was 21,2% for all malaria cases and 26,5% for malaria deaths, indicating significant underreporting and urging for complementary data source in surveillance, for disease burden estimates and retrospective monitoring, namely hospital episodes statistics.

Integrating clinical practice and public health surveillance using electronic medical record systems.

Electronic medical record (EMR) systems have rich potential to improve integration between primary care and the public health system at the point of care. EMRs make it possible for clinicians to contribute timely, clinically detailed surveillance data to public health practitioners without changing their existing workflows or incurring extra work. New surveillance systems can extract raw data from providers' EMRs, analyze them for conditions of public health interest, and automatically communicate results to health departments. We describe a model EMR-based public health surveillance platform called Electronic Medical Record Support for Public Health (ESP). The ESP platform provides live, automated surveillance for notifiable diseases, influenza-like illness, and diabetes prevalence, care, and complications. Results are automatically transmitted to state health departments.

Integrating clinical practice and public health surveillance using electronic medical record systems.

Electronic medical record (EMR) systems have rich potential to improve integration between primary care and the public health system at the point of care. EMRs make it possible for clinicians to contribute timely, clinically detailed surveillance data to public health practitioners without changing their existing workflows or incurring extra work. New surveillance systems can extract raw data from providers' EMRs, analyze them for conditions of public health interest, and automatically communicate results to health departments. The current paper describes a model EMR-based public health surveillance platform called Electronic Medical Record Support for Public Health (ESP). The ESP platform provides live, automated surveillance for notifiable diseases, influenza-like illness, and diabetes prevalence, care, and complications. Results are automatically transmitted to state health departments.

Notification of transfusion transmitted infection.

The National Blood Policy of India, 2002, advocates the disclosure of results of transfusion transmitted infections (TTI) to blood donors. However, in the absence of well-defined notification processes, and in order to avoid serious consequences resulting from unguided disclosure, blood bank personnel discard blood that is TTI-positive. We report on a survey of 105 voluntary blood donors in Kerala. Only two out of three participants had filled the donor form in the last year. Only half were aware that the blood bank was supposed to inform them if they tested positive for TTI. Fifty-seven per cent of donors wanted to be informed every time they donated blood, irrespective of a positive or negative result.

High sensitivity for tuberculosis in a national integrated surveillance system in Finland.

Little is known about the sensitivity of surveillance for tuberculosis after integration of formerly dedicated tuberculosis surveillance and control into the general health care system, an integration which took place in Finland in 1987. We compared routine laboratory notifications to the National Infectious Disease Register (NIDR) for Mycobacterium tuberculosis from January 1, 1995, to December 31, 1996, with data collected independently from all laboratories offering M. tuberculosis culture, and with data from patient records. 1059 culture-positive cases were found. The overall sensitivity of the NIDR was 93 % (984/1059). The positive predictive value of a culture-positive case in the NIDR to be a true culture-confirmed case was 99%. For the culture-confirmed cases in the NIDR, one or more physician notification forms had been submitted for 89%. A highly sensitive notification system for culture-positive tuberculosis can be achieved in an integrated national infectious disease surveillance system based on laboratory notification.

[Study on the timeliness of the notifiable communicable diseases surveillance system in Fujian province, China, 2004].

OBJECTIVE: To understand the timeliness of the notifiable communicable diseases surveillance system in Fujian province. METHODS: Database from the internet based communicable diseases reporting system was used. RESULTS: The 50th percentile of time between the disease diagnosed and report recorded in medical faculties was 1 day in 2004 which was 6 days less than that in 2001 - 2003. The timeliness rate of 0 day was 46.46%, a 2.7 times over that in 2001 - 2003. The timeliness of notifiable communicable diseases surveillance system in different administrative areas, reporting units and on different diseases was significantly different. Time between the disease diagnosed and report recorded was the shortest in those cases reported by hospitals and traditional Chinese medicine(TCM) hospitals at the county level and above, with 50th percentile as 0 day, but the timeliness rate of 0 day was 50.76% with 70.04% of the cases were reported from hospitals and TCM hospitals of county level and above. Length between the disease diagnosed and reported was the longest in those cases recorded by Centers for Disease Control and Prevention(CDCs) with the 50th percentile as 3 days. The source of cases recorded by CDCs came from hospitals at the township level, where there was no connection to internet but the reporting cards had to be sent to local CDCs. Time between the disease being diagnosed and reported was 2 days in those cases reported by hospitals at the township level. 21.21% of cases were recorded by hospitals of township level and CDCs. The 50th percentile of time shown between the reported records and confirmed by CDCs was 4 hours The 24 hour timeliness rate was 63.65%. CONCLUSION: The timeliness of the notifiable communicable diseases surveillance system had been improved significantly after the medical personnel recording the cases directly through internet. Timeliness could be further improved through access to internet at the hospitals of township level, training of staff and better hospital management systems.