Last data update: Jun 24, 2024. (Total: 47078 publications since 2009)
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Using the collaborative requirements development methodology to build laboratory capacity for timely diagnosis during the Zika epidemic in Puerto Rico
Rembert JH , Zometa CS , O'Carroll PW , Licier AL , McPhillips-Tangum C , Hale PM . J Public Health Manag Pract 2020 27 (3) E143-E150 INTRODUCTION: In 2016, Puerto Rico became the focal point of the Zika epidemic, with more than 36 000 laboratory-confirmed cases before August. The Puerto Rico Department of Health (PRDH) responded by providing tests to symptomatic and asymptomatic pregnant women. The increased demand for Zika testing placed unprecedented strain on the laboratory capacity and information management processes used within the PRDH. The PRDH recognized the need to have an updated informatics system that securely manages, stores, and transmits digital data. The Centers for Disease Control and Prevention funded the Public Health Informatics Institute to collaborate with the PRDH to assess and improve the informatics capability to respond to the ongoing Zika virus transmission in Puerto Rico. APPROACH: The team employed a 4-component approach to assess the informatics system and improve the information management processes for laboratory testing and reporting of arboviral diseases (Zika, chikungunya, and dengue). The method consisted of a (1) needs assessment, (2) business process analysis and requirements definition, (3) vendor analysis, and (4) solution implementation. RESULTS: The needs assessment determined that the PRDH's procedures for arbovirus testing and reporting were highly complex and paper-based and thus did not maximize the use of existing technology. The solution was to build a Web portal. The business process analysis yielded information to create a map of the flow of specimens, an arbovirus context diagram, and more than 200 requirements. The requirements identified in this process guided the design and creation of the Web portal. DISCUSSION: This report describes the process to build a Web portal to enhance laboratory testing and electronic reporting of Zika cases during the 2016 epidemic in Puerto Rico. We demonstrate the utility of applying the Collaborative Requirements Development Methodology, a proven informatics method, to the development of a Web portal for managing arboviruses in a health department. |
Collaborative care to improve the management of depressive disorders: a community guide systematic review and meta-analysis
Thota AB , Sipe TA , Byard GJ , Zometa CS , Hahn RA , McKnight-Eily LR , Chapman DP , Abraido-Lanza AF , Pearson JL , Anderson CW , Gelenberg AJ , Hennessy KD , Duffy FF , Vernon-Smiley ME , Nease DE Jr , Williams SP . Am J Prev Med 2012 42 (5) 525-38 CONTEXT: To improve the quality of depression management, collaborative care models have been developed from the Chronic Care Model over the past 20 years. Collaborative care is a multicomponent, healthcare system-level intervention that uses case managers to link primary care providers, patients, and mental health specialists. In addition to case management support, primary care providers receive consultation and decision support from mental health specialists (i.e., psychiatrists and psychologists). This collaboration is designed to (1) improve routine screening and diagnosis of depressive disorders; (2) increase provider use of evidence-based protocols for the proactive management of diagnosed depressive disorders; and (3) improve clinical and community support for active client/patient engagement in treatment goal-setting and self-management. EVIDENCE ACQUISITION: A team of subject matter experts in mental health, representing various agencies and institutions, conceptualized and conducted a systematic review and meta-analysis on collaborative care for improving the management of depressive disorders. This team worked under the guidance of the Community Preventive Services Task Force, a nonfederal, independent, volunteer body of public health and prevention experts. Community Guide systematic review methods were used to identify, evaluate, and analyze available evidence. EVIDENCE SYNTHESIS: An earlier systematic review with 37 RCTs of collaborative care studies published through 2004 found evidence of effectiveness of these models in improving depression outcomes. An additional 32 studies of collaborative care models conducted between 2004 and 2009 were found for this current review and analyzed. The results from the meta-analyses suggest robust evidence of effectiveness of collaborative care in improving depression symptoms (standardized mean difference [SMD]=0.34); adherence to treatment (OR=2.22); response to treatment (OR=1.78); remission of symptoms (OR=1.74); recovery from symptoms (OR=1.75); quality of life/functional status (SMD=0.12); and satisfaction with care (SMD=0.39) for patients diagnosed with depression (all effect estimates were significant). CONCLUSIONS: Collaborative care models are effective in achieving clinically meaningful improvements in depression outcomes and public health benefits in a wide range of populations, settings, and organizations. Collaborative care interventions provide a supportive network of professionals and peers for patients with depression, especially at the primary care level. |
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