Use of an Internet-Based Community Surveillance Network to Predict Seasonal Communicable Disease Morbidity

Hammond, Lucinda; Papadopoulos, S; Johnson, Candice F.; MaWhinney, Samantha; Nelson, Bernard; Todd, James K.

doi:10.1542/peds.109.3.414

Cited by 7 publications

(5 citation statements)

References 2 publications

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“…Of the 12 eligible studies, one was a prospective cluster randomized controlled trial ( 25 ) and 11 were observational studies of a variety of designs, including cohort studies ( 14 , 16 , 19 , 22 , 23 ), programme descriptions ( 15 , 18 , 20 , 21 , 24 ) and a pilot study ( 17 ). Eight of the studies took place in the USA ( 14–16 , 18 , 19 , 21 , 23 , 25 ), one in Canada ( 24 ), one in New Zealand ( 17 ), and two in Europe (Spain ( 20 ) and Norway ( 22 )).…”

Section: Resultsmentioning

confidence: 99%

“…The interventions were wide-ranging and heterogeneous. Five studies disseminated syndromic data to clinicians ( 17 , 18 , 21 , 23–25 ), two disseminated microbiological data ( 14 , 19 ) and five disseminated a mixture of microbiological and syndromic data ( 15 , 16 , 20 , 22 ) ( Table 1 and Supplementary Table S3 ). The majority of studies disseminated infection surveillance information via websites, electronic databases and emails.…”

Section: Resultsmentioning

confidence: 99%

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Does locally relevant, real-time infection epidemiological data improve clinician management and antimicrobial prescribing in primary care? A systematic review

2018

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PurposeAntimicrobial resistance is a significant threat to public health. Diagnostic uncertainty is a key driver of antimicrobial prescribing. We sought to determine whether locally relevant, real-time syndromic or microbiological infection epidemiology can improve prescribing by reducing diagnostic uncertainty.MethodsEligible studies investigated effects on primary care prescribing for common infections in Organisation For Economic Co-Operation And Development countries. We searched Medline, Embase, Cumulative index to nursing and allied health literature, Web of Science, grey literature sources, thesis databases and trial registries.ResultsWe identified 9548 reports, of which 17 were eligible, reporting 12 studies, of which 3 reported relevant outcomes. The first (observational) showed antibacterial prescribing for upper respiratory infections reduced from 26.4% to 8.6% (P = 0.01). The second (observational) showed antibacterial prescribing reduced during influenza pandemic compared with seasonal influenza periods [odds ratio (OR) 0.72 (95% CI, 0.68 to 0.77), P < 0.001], while antiviral prescribing increased [OR 6.43 (95% CI, 5.02 to 8.25), P < 0.001]. The likelihood of prescribing also decreased as the number of infection cases a physician saw increased in the previous week [OR 0.57 (95% CI, 0.51 to 0.63), P < 0.001 for ≥12 versus ≤1 patient). The third (randomized-controlled trial) showed an absolute reduction in antibacterial prescribing of 5.1% during a period of moderate influenza activity (P < 0.05). We did not find measures of diagnostic certainty, harms or costs.ConclusionThere is promising evidence that epidemiological syndromic and microbiological data can reduce primary care antimicrobial prescribing. Future research should use randomized designs of behaviourally informed interventions, investigate costs and harms, and establish mechanisms of behaviour change.PROSPERO registrationCRD42016038871.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Does locally relevant, real-time infection epidemiological data improve clinician management and antimicrobial prescribing in primary care? A systematic review

2018

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“…The release of anthrax in 2001, the Severe Acute Respiratory Syndrome (SARS) outbreaks in China, Hong Kong and Toronto in 2002, and the emergence of new diseases such as West Nile virus have underscored the need for automated, real-time detection of outbreaks. Several such detection systems have been deployed in recent years at the hospital [1,2], city [3][4][5], regional [6][7][8] and national [9][10][11] levels. Many systems use time series algorithms to detect aberrant conditions, such as CuSUM [12][13][14], variants of the Serfling method [3], multiresolution waveletbased models [15], and trimmed seasonal models [16].…”

Section: Introductionmentioning

confidence: 99%

Automated real time constant-specificity surveillance for disease outbreaks

Wieland

Brownstein

Berger

et al. 2007

BMC Med Inform Decis Mak

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“…[1,2] The general adoption of computers and the Inure 1). ternet into the daily workflow of the general public has led to the Used individually and/or in tandem, these systems give users gradual integration of information networks into business and into immense power to manage and communicate information.…”

mentioning

confidence: 99%

The Impact of the Internet on Pediatric Medicine

Kim

Lehmann

2003

Pediatric Drugs

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The Internet has affected pediatricians and the families they serve in many ways by empowering users to manage information, and to communicate faster and more effectively. The Internet allows practitioners to store, retrieve, and manipulate patient-specific and general medical information within increasingly sophisticated integrated systems, allowing 'just-in-time' information at the point of care. Related technologies allow asynchronous, real-time, and mobile communication with colleagues, patients, and health organizations. These same technologies have empowered patients to seek health information independently from online libraries, support groups, and second opinions not previously available, creating knowledgeable and value-conscious healthcare consumers, thus evolving the nature of the physician-patient relationship. Because of these technology advances and their present and future effects on practice and patients, it is increasingly important for the general pediatrician to be aware of the potentials, practicalities, and pitfalls of the Internet with regard to general pediatrics.

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Use of an Internet-Based Community Surveillance Network to Predict Seasonal Communicable Disease Morbidity

Cited by 7 publications

References 2 publications

Does locally relevant, real-time infection epidemiological data improve clinician management and antimicrobial prescribing in primary care? A systematic review

Does locally relevant, real-time infection epidemiological data improve clinician management and antimicrobial prescribing in primary care? A systematic review

Automated real time constant-specificity surveillance for disease outbreaks

The Impact of the Internet on Pediatric Medicine

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