Dataset Information

Developing a Data Dashboard Framework for Population Health Surveillance: Widening Access to Clinical Trial Findings.

ABSTRACT: BACKGROUND:Population surveillance sites generate many datasets relevant to disease surveillance. However, there is a risk that these data are underutilized because of the volumes of data gathered and the lack of means to quickly disseminate analysis. Data visualization offers a means to quickly disseminate, understand, and interpret datasets, facilitating evidence-driven decision making through increased access to information. OBJECTIVES:This paper describes the development and evaluation of a framework for data dashboard design, to visualize datasets produced at a demographic health surveillance site. The aim of this research was to produce a comprehensive, reusable, and scalable dashboard design framework to fit the unique requirements of the context. METHODS:The framework was developed and implemented at a demographic surveillance platform at the Africa Health Research Institute, in KwaZulu-Natal, South Africa. This context represents an exemplar implementation for the use of data dashboards within a population health-monitoring setting. Before the full launch, an evaluation study was undertaken to assess the effectiveness of the dashboard framework as a data communication and decision-making tool. The evaluation included a quantitative task evaluation to assess usability and a qualitative questionnaire exploring the attitudes to the use of dashboards. RESULTS:The evaluation participants were drawn from a diverse group of users working at the site (n=20), comprising of community members, nurses, scientific and operational staff. Evaluation demonstrated high usability for the dashboard across user groups, with scientific and operational staff having minimal issues in completing tasks. There were notable differences in the efficiency of task completion among user groups, indicating varying familiarity with data visualization. The majority of users felt that the dashboards provided a clear understanding of the datasets presented and had a positive attitude to their increased use. CONCLUSIONS:Overall, this exploratory study indicates the viability of the data dashboard framework in communicating data trends within population surveillance setting. The usability differences among the user groups discovered during the evaluation demonstrate the need for the user-led design of dashboards in this context, addressing heterogeneous computer and visualization literacy present among the diverse potential users present in such settings. The questionnaire highlighted the enthusiasm for increased access to datasets from all stakeholders highlighting the potential of dashboards in this context.

SUBMITTER: Concannon D

PROVIDER: S-EPMC6470464 | biostudies-other | 2019 Apr

REPOSITORIES: biostudies-other

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Developing a Data Dashboard Framework for Population Health Surveillance: Widening Access to Clinical Trial Findings.

Concannon David D Herbst Kobus K Manley Ed E

JMIR formative research 20190404 2

<h4>Background</h4>Population surveillance sites generate many datasets relevant to disease surveillance. However, there is a risk that these data are underutilized because of the volumes of data gathered and the lack of means to quickly disseminate analysis. Data visualization offers a means to quickly disseminate, understand, and interpret datasets, facilitating evidence-driven decision making through increased access to information.<h4>Objectives</h4>This paper describes the development and e ...[more]

PMID: 30946016

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Project description:BACKGROUND:Allied Health Professionals (AHPs) form a significant part of the healthcare workforce and have great potential to improve services through research and research-informed practice. However, there is a lack of tradition in research embedded in practice in these professional groups. Barriers include clinical caseload pressures, a lack of sustainable training and consequent lack of confidence in practitioners. Practice managers are ill-equipped to monitor and guide staff research development. The modern healthcare system is a multi-disciplinary environment focused on the needs of the patient. A common framework across all AHP disciplines, offering equality in research knowledge and skills and shared language, might be helpful in planning and developing clinical career pathways. Our aim is to develop a consolidated research framework to help AHPs to plan and guide research activity throughout their career. METHODS:The study was conducted in three phases. Phase one identified existing AHP research frameworks (AHPRF) through expert consultations and literature searches. Phase two involved framework analysis of the AHPRFs to develop a single consolidated framework. Phase three included a workshop with experts to validate and adapt the framework for practice. RESULTS:Nineteen AHPRFs were identified. A consolidated framework was shaped by analysis of the AHPRFs resulting in a consolidated framework of eight sections, each containing a series of statements. Each section relates to an analytic theme within the framework analysis, and the statements were based on sub-categories of themes. The final framework was further shaped by the phase three workshop into a set of 'stem' statements that can be adapted to reflect different levels of expertise and the inclusion of a set of guiding principles developed through expert consultation. CONCLUSION:The consolidated framework was entitled 'Shaping Better Practice Through Research: A Practitioner Framework' by stakeholders, thus emphasising its ambition to embed research activity into practice. It instigates a new perspective within AHP research by offering practitioners and managers a tool that can be applied across public, private, and voluntary settings for AHPs in all disciplines. Its ambition is to develop capacity in the AHPs that can undertake research to improve services and the health of service users.

Project description:BackgroundPopulation health interventions (PHIs) have the potential to improve the health of large populations by systematically addressing underlying conditions of poor health outcomes (i.e., social determinants of health) and reducing health inequities. Scaling-up may be one means of enhancing the impact of effective PHIs. However, not all scale-up attempts have been successful. In an attempt to help guide the process of successful scale-up of a PHI, we look to the organizational readiness for change theory for a new perspective on how we may better understand the scale-up pathway. Using the change theory, our goal was to develop the foundations of an evidence-based, theory-informed framework for a PHI, through a critical examination of various PHI scale-up experiences documented in the literature.MethodsWe conducted a multi-step, critical interpretive synthesis (CIS) to gather and examine insights from scale-up experiences detailed in peer-reviewed and grey literatures, with a focus on PHIs from a variety of global settings. The CIS included iterative cycles of systematic searching, sampling, data extraction, critiquing, interpreting, coding, reflecting, and synthesizing. Theories relevant to innovations, complexity, and organizational readiness guided our analysis and synthesis.ResultsWe retained and examined twenty different PHI scale-up experiences, which were extracted from 77 documents (47 peer-reviewed, 30 grey literature) published between 1995 and 2013. Overall, we identified three phases (i.e., Groundwork, Implementing Scale-up, and Sustaining Scale-up), 11 actions, and four key components (i.e., PHI, context, capacity, stakeholders) pertinent to the scale-up process. Our guiding theories provided explanatory power to various aspects of the scale-up process and to scale-up success, and an alternative perspective to the assessment of scale-up readiness for a PHI.ConclusionOur synthesis provided the foundations of the Scale-up Readiness Assessment Framework. Our theoretically-informed and rigorous synthesis methodology permitted identification of disparate processes involved in the successful scale-up of a PHI. Our findings complement the guidance and resources currently available, and offer an added perspective to assessing scale-up readiness for a PHI.

Project description:BackgroundHistorically our institution has required prospective bariatric patients attend an in-person introductory seminar prior to their first clinic visit. Utilization of the internet has increased dramatically over the last 10 years and in 2016, we added an online seminar. With the emergence of COVID-19 and new rules regarding social distancing, we are currently relying exclusively on web-based orientation. Research suggests there are racial and socioeconomic disparities in the utilization of internet health resources in the general population. To our knowledge this has not been studied in regard to the bariatric population.MethodsA retrospective chart review was performed on patients who attended online (OS) and in-person seminars (IPS). Our primary endpoint was to compare the percentage of patients who underwent surgery. Secondary outcomes included differences in demographic and clinical characteristics between the patients who attended the OS versus the IPS.ResultsOf the 1152 patients who attended a bariatric orientation, 71.2% scheduled an office visit. The IPS patients had a higher rate of office visits and shorter time between orientation and first visit. Of patients eligible for surgery, there was a higher percentage of Caucasians in the OS group while the IPS group had higher rates of Hispanic and African Americans. Patients from the OS group had higher rates of marriage and employment, and lower rates of medical co-morbidities. When controlling for age, sex, race/ethnicity, marital status, employment status and medical co-morbidities, there was no significant impact of type of orientation on progression to surgery.ConclusionWe found that there was no difference in progression to surgery between the two orientation groups. Importantly, however, we detected marked demographic and clinical differences between the two patient populations. There is an urgent need to address these disparities as we are now heavily relying on patient outreach and education via the internet.

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Dataset Information

Developing a Data Dashboard Framework for Population Health Surveillance: Widening Access to Clinical Trial Findings.

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Developing a Data Dashboard Framework for Population Health Surveillance: Widening Access to Clinical Trial Findings.

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