Dataset Information

An Evaluation of Provincial Infectious Disease Surveillance Reports in Ontario.

ABSTRACT:

Context

Public Health Ontario (PHO) publishes various infectious disease surveillance reports, but none have yet been formally evaluated.

Objective

PHO evaluated its monthly and annual infectious disease surveillance reports to assess public health stakeholders' current perception of the products and to develop recommendations for improving future products.

Design

An evaluation consisting of an online survey and a review of public Web sites of other jurisdictions with similar annual reports.

Setting

For the online survey, stakeholder organizations targeted were the 36 local public health units and the Health health ministry in Ontario, Canada.

Participants

Survey participants included epidemiologists, managers, directors, and other public health practitioners from participating organizations.

Main outcome measures

Online survey respondents' awareness and access to the reports, their rated usefulness of reports and subsections, and suggestions for improving usefulness; timeliness of select annual reports from other jurisdictions based on the period from data described to report publication.

Results

Among 57 survey respondents, between 74% and 97% rated each report as useful; the most common use was for situational awareness. Respondents ranked timeliness as the most important attribute of surveillance reports, followed by data completeness. Among 6 annual reports reviewed, the median time to publication was 11.5 months compared with 23.2 months for PHO.

Conclusion

Recommendations based on this evaluation have already been applied to the monthly report (eg, focusing on the most useful sections) and have become key considerations when developing future annual reports and other surveillance reporting tools (eg, need to provide more timely reports). Other public health organizations may also use this evaluation to inform aspects of their surveillance report development and evaluation. The evaluation results have provided PHO with direction on how to improve its provincial infectious disease surveillance reporting moving forward, and formed a basis for future work in surveillance product development and evaluation.

SUBMITTER: Chan E

PROVIDER: S-EPMC5704658 | biostudies-literature | 2018 Jan/Feb

REPOSITORIES: biostudies-literature

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Publications

An Evaluation of Provincial Infectious Disease Surveillance Reports in Ontario.

Chan Ellen E Barnes Morgan E ME Sharif Omar O

Journal of public health management and practice : JPHMP 20180101 1

<h4>Context</h4>Public Health Ontario (PHO) publishes various infectious disease surveillance reports, but none have yet been formally evaluated.<h4>Objective</h4>PHO evaluated its monthly and annual infectious disease surveillance reports to assess public health stakeholders' current perception of the products and to develop recommendations for improving future products.<h4>Design</h4>An evaluation consisting of an online survey and a review of public Web sites of other jurisdictions with simil ...[more]

PMID: 28141669

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Project description:BackgroundCOVID-19 brought enormous challenges to public health surveillance and underscored the importance of developing and maintaining robust systems for accurate surveillance. As public health data collection efforts expand, there is a critical need for infectious disease modeling researchers to continue to develop prospective surveillance metrics and statistical models to accommodate the modeling of large disease counts and variability. This paper evaluated different likelihoods for the disease count model and various spatiotemporal mean models for prospective surveillance.MethodsWe evaluated Bayesian spatiotemporal models, which are the foundation for model-based infectious disease surveillance metrics. Bayesian spatiotemporal mean models based on the Poisson and the negative binomial likelihoods were evaluated with the different lengths of past data usage. We compared their goodness of fit and short-term prediction performance with both simulated epidemic data and real data from the COVID-19 pandemic.ResultsThe simulation results show that the negative binomial likelihood-based models show better goodness of fit results than Poisson likelihood-based models as deemed by smaller deviance information criteria (DIC) values. However, Poisson models yield smaller mean square error (MSE) and mean absolute one-step prediction error (MAOSPE) results when we use a shorter length of the past data such as 7 and 3 time periods. Real COVID-19 data analysis of New Jersey and South Carolina shows similar results for the goodness of fit and short-term prediction results. Negative binomial-based mean models showed better performance when we used the past data of 52 time periods. Poisson-based mean models showed comparable goodness of fit performance and smaller MSE and MAOSPE results when we used the past data of 7 and 3 time periods.ConclusionWe evaluate these models and provide future infectious disease outbreak modeling guidelines for Bayesian spatiotemporal analysis. Our choice of the likelihood and spatiotemporal mean models was influenced by both historical data length and variability. With a longer length of past data usage and more over-dispersed data, the negative binomial likelihood shows a better model fit than the Poisson likelihood. However, as we use a shorter length of the past data for our surveillance analysis, the difference between the Poisson and the negative binomial models becomes smaller. In this case, the Poisson likelihood shows robust posterior mean estimate and short-term prediction results.

Project description:Rooted in the recognition that emerging infectious diseases occur at the interface of human, animal, and ecosystem health, the Southern African Centre for Infectious Disease Surveillance (SACIDS) initiative aims to promote a trans-sectoral approach to address better infectious disease risk management in five countries of the Southern African Development Community. Nine years after SACIDS' inception, this study aimed to evaluate the program by applying a One Health (OH) evaluation framework developed by the Network for Evaluation of One Health (NEOH). The evaluation included a description of the context and the initiative, illustration of the theory of change, identification of outputs and outcomes, and assessment of the One Healthness. The latter is the sum of characteristics that defines an integrated approach and includes OH thinking, OH planning, OH working, sharing infrastructure, learning infrastructure, and systemic organization. The protocols made available by NEOH were used to develop data collection protocols and identify the study design. The framework relies on a mixed methods approach by combining a descriptive and qualitative assessment with a semi-quantitative evaluation (scoring). Data for the analysis were gathered during a document review, in group and individual interviews and in an online survey. Operational aspects (i.e., OH thinking, planning, and working) were found to be balanced overall with the highest score in the planning dimension, whereas the infrastructure (learning infrastructure, systemic organization, and sharing infrastructure) was high for the first two dimensions, but low for sharing. The OH index calculated was 0.359, and the OH ratio calculated was 1.495. The program was praised for its great innovative energy in a difficult landscape dominated by poor infrastructure and its ability to create awareness for OH and enthuse people for the concept; training of people and networking. Shortcomings were identified regarding the balance of contributions, funds and activities across member countries in the South, lack of data sharing, unequal allocation of resources, top-down management structures, and limited horizontal collaboration. Despite these challenges, SACIDS is perceived to be an effective agent in tackling infectious diseases in an integrated manner.

Project description:Background:Despite its relative rarity, glomerulonephritis (GN) accounts for 20% of prevalent end-stage renal disease patients in Ontario. Early identification and appropriate management of GN to delay progression of disease can reduce patient morbidity and health system costs. As such, a provincial GN needs assessment was conducted to inform on the development of the provincial GN strategic framework in Ontario. Objective:To understand the current state of GN care in Ontario from nephrologist, hospital administrator, and patient and family perspectives. Design:Cross-sectional. Settings:26 regional renal programs in Ontario. Patients:23 patients and family members living with GN who do not require renal replacement therapy. Measurements:Patient and family member interviews as well as a survey of nephrologists. Methods:The study included 3 components: (1) interviews with patients and family members, (2) a survey of nephrologists, and (3) interviews with regional renal programs. The Ontario Renal Network provincial office developed the needs assessment questions and the physician survey questions after consultation with practicing nephrologists and hospital administrators. Thematic analysis was used to assess interview data and descriptive statistics to assess survey data. Results:Interviews with patients and family members (n = 23) identified gaps in care related to diagnosis and referral to nephrology care, education and decision-making, and psychosocial supports. The survey of nephrologists (n = 74) identified various issues that contribute to unstandardized GN care across Ontario, including a lack of provincial expertise in providing complex GN care, access to medication, multidisciplinary team support as well as patient education, and psychosocial supports. Interviews with regional renal programs aligned with interview and survey findings (n = 11). Limitations:Interviews with patients and family members were facilitated by 1 interviewer and limited to 20 interviews due to resource limitations. All nephrologists, patients, and family members who participated in the survey and interviews were volunteers and English-speaking, which may have resulted in self-selection bias. Conclusions:The provincial GN needs assessment emphasized the necessity to develop and implement a provincial GN strategy. The strategic framework includes 4 objectives: (1) ensure patients are supported to make informed decisions, (2) establish a provincial model of care, (3) leverage data to enable planning, decision-making, and monitoring of outcomes, and (4) ensure appropriate access to medication. This is the first Ontario strategy to address provincial gaps in GN care.

Project description:BackgroundTimeliness is a key performance measure of public health surveillance systems. Timeliness can vary by disease, intended use of the data, and public health system level. Studies were reviewed to describe methods used to evaluate timeliness and the reporting timeliness of National Notifiable Diseases Surveillance System (NNDSS) data was evaluated to determine if this system could support timely notification and state response to multistate outbreaks.MethodsPublished papers that quantitatively measured timeliness of infectious disease surveillance systems operating in the U.S. were reviewed. Median reporting timeliness lags were computed for selected nationally notifiable infectious diseases based on a state-assigned week number and various date types. The percentage of cases reported within the estimated incubation periods for each disease was also computed.ResultsFew studies have published quantitative measures of reporting timeliness; these studies do not evaluate timeliness in a standard manner. When timeliness of NNDSS data was evaluated, the median national reporting delay, based on date of disease onset, ranged from 12 days for meningococcal disease to 40 days for pertussis. Diseases with the longer incubation periods tended to have a higher percentage of cases reported within its incubation period. For acute hepatitis A virus infection, which had the longest incubation period of the diseases studied, more than 60% of cases were reported within one incubation period for each date type reported. For cryptosporidiosis, Escherichia coli O157:H7 infection, meningococcal disease, salmonellosis, and shigellosis, less than 40% of cases were reported within one incubation period for each reported date type.ConclusionPublished evaluations of infectious disease surveillance reporting timeliness are few in number and are not comparable. A more standardized approach for evaluating and describing surveillance system timeliness should be considered; a recommended methodology is presented. Our analysis of NNDSS reporting timeliness indicated that among the conditions evaluated (except for acute hepatitis A infection), the long reporting lag and the variability across states limits the usefulness of NNDSS data and aberration detection analysis of those data for identification of and timely response to multistate outbreaks. Further evaluation of the factors that contribute to NNDSS reporting timeliness is warranted.

Dataset Information

An Evaluation of Provincial Infectious Disease Surveillance Reports in Ontario.

Context

Objective

Design

Setting

Participants

Main outcome measures

Results

Conclusion

Publications

An Evaluation of Provincial Infectious Disease Surveillance Reports in Ontario.

Similar Datasets

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