Dataset Information

Comparing patient and healthcare worker experiences during a dengue outbreak in Singapore: understanding the patient journey and the introduction of a point-of-care test (POCT) toward better care delivery.

ABSTRACT: In the aftermath of an upsurge in the number of dengue cases in 2013 and 2014, the SD BIOLINE Dengue Duo rapid diagnostic Point-of-Care Test (POCT) kit was introduced in Tan Tock Seng Hospital, Singapore in June 2013. It is known that the success of POCT usage is contingent on its implementation within the health system. We evaluated health services delivery and the Dengue Duo rapid diagnostic test kit application in Singapore from healthcare workers' perspectives and patient experiences of dengue at surge times.Focus group discussions were conducted with dengue patients, from before and after the POCT implementation period. In-depth interviews with semi-structured components with healthcare workers were carried out. A patient centred process mapping technique was used for evaluation, which mapped the patient's journey and was mirrored from the healthcare worker's perspective.Patients and healthcare workers confirmed a wide range of symptoms in adults, making it challenging to determine diagnosis. There were multiple routes to help seeking, and no 'typical patient journey', with patients either presenting directly to the hospital emergency department, or being referred there by a primary care provider. Patients groups diagnosed before and after POCT implementation expressed some differences between speed of diagnoses and attitudes of doctors, yet shared negative feelings about waiting times and a lack of communication and poor information delivery. However, the POCT did not in its current implementation do much to help waiting times. Healthcare workers expressed that public perceptions of dengue in recent years was a major factor in changing patient management, and that the POCT kit was helpful in improving the speed and accuracy of diagnoses.Health service delivery for dengue patients in Singapore was overall perceived to be of an acceptable clinical standard, which was enhanced by the introduction of the POCT. However, improvements can be focused on Adapting to outbreaks by reducing and rendering Waiting experiences more comfortable; Advancing education about symptom recognition, while also Recognising better communication strategies; and Expanding follow-up care options. This is presented as the Dengue AWARE model of care delivery.

SUBMITTER: Tan Q

PROVIDER: S-EPMC5517990 | biostudies-other | 2017 Jul

REPOSITORIES: biostudies-other

ACCESS DATA

Similar Datasets

Project description:Dengue results in high morbidity and mortality globally. The knowledge, attitude and practices (KAP) of dengue management, including diagnosis, among primary care physicians (PCPs) are important to reduce dengue transmission and burden. However, there is a lack of understanding on the impact of dengue epidemic on dengue management. Hence, the aim of this study is to examine the changes in KAP on dengue management among PCPs before and after the largest dengue epidemic in 2013 in Singapore.Surveys were mailed to 2000 and 1514 PCPs registered under the Singapore Medical Council in March of year 2011 and 2014, respectively. Survey data were then collected between April and June of that year. Chi-square or Fisher's exact test was used for comparing categorical variables. A multivariate logistic regression model was implemented to determine independent factors for frequent use of dengue diagnostic tests (DDTs). All tests were conducted at 5% level of significance. Adjusted odds ratio and corresponding 95% confidence intervals were reported, where applicable. Qualitative data were descriptively coded for themes and analysis.Among PCPs surveyed in 2011 and 2014, 89.9% and 86% had good knowledge on dengue management respectively. The usage of DDTs had increased significantly in 2014 (N = 164;56%) as compared to 2011 (N = 107;29.5%) in both private and public clinics (p < 0.001). Dengue Duo point-of-care test (POCT) kits was independently associated with frequent use of DDTs (adjusted odds ratio = 2.15; 95% confidence interval = 1.25-3.69). There was a significant reduction in referral of dengue patients to hospital (31.4% in 2011; 13.3% in 2014; p < 0.001), and a significant increase in frequency of clinic follow-ups (18.4% in 2011; 28.5% in 2014; p = 0.003). One key theme highlighted was that dengue management can be improved with availability of POCT kit, better awareness of the disease and any revised clinical guidelines.The knowledge on dengue management remained high, while the attitude and practices, particularly on the usage of DDTs improved significantly after a large epidemic. Furthermore, PCPs had more confident in managing dengue patients in primary care settings and in educating patients on the importance of vector control and dengue warning signs to reduce dengue transmission and burden.

Project description:BackgroundThe role of eHealth programs to support patients through surgical pathways, including total hip arthroplasty (THA), is rapidly growing and offers the potential to improve patient engagement, self-care, and outcomes.ObjectiveThe aim of this study is to compare the effects of an eHealth program (intervention) versus standard care for pre- and postoperative education on patient outcomes for primary THA.MethodsA prospective parallel randomized controlled trial with two arms (standard care and standard care plus access to the eHealth education program) was conducted. Participants included those who underwent THA. Outcome measures were collected preadmission, at 6 weeks, and at 3 and 6 months after surgery. The primary outcome was the Hip Dysfunction and Osteoarthritis Outcome Score. Secondary outcomes were a 5-level 5-dimension quality of life measure and the self-efficacy for managing chronic disease scale. Demographic and clinical characteristics were also collected. A satisfaction survey was completed by all participants 6 weeks after surgery, and those in the intervention arm completed an additional survey specific to the eHealth program.ResultsA total of 99 patients were recruited: 50 in the eHealth program (intervention) and 49 in standard care (control). Clinical improvements were demonstrated in both groups across all time points. Per-protocol analysis demonstrated no differences between the groups for all outcome measures across all time points. Participants in the eHealth program reported that the program was accessible, that they felt comfortable using it, and that the information was helpful.ConclusionsThis study demonstrated that the eHealth program, in addition to standard care, had no additional benefit to THA recovery compared with standard care alone. The study found that the eHealth program was highly valued by participants, and it supported the preoperative preparation, recovery, and postoperative rehabilitation of participants.Trial registrationAustralian New Zealand Clinical Trial Registry ACTRN12617001433392; http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=373657.

Project description:BackgroundWith its tropical rainforest climate, rapid urbanization, and changing demography and ecology, Singapore experiences endemic dengue; the last large outbreak in 2013 culminated in 22,170 cases. In the absence of a vaccine on the market, vector control is the key approach for prevention.ObjectivesWe sought to forecast the evolution of dengue epidemics in Singapore to provide early warning of outbreaks and to facilitate the public health response to moderate an impending outbreak.MethodsWe developed a set of statistical models using least absolute shrinkage and selection operator (LASSO) methods to forecast the weekly incidence of dengue notifications over a 3-month time horizon. This forecasting tool used a variety of data streams and was updated weekly, including recent case data, meteorological data, vector surveillance data, and population-based national statistics. The forecasting methodology was compared with alternative approaches that have been proposed to model dengue case data (seasonal autoregressive integrated moving average and step-down linear regression) by fielding them on the 2013 dengue epidemic, the largest on record in Singapore.ResultsOperationally useful forecasts were obtained at a 3-month lag using the LASSO-derived models. Based on the mean average percentage error, the LASSO approach provided more accurate forecasts than the other methods we assessed. We demonstrate its utility in Singapore's dengue control program by providing a forecast of the 2013 outbreak for advance preparation of outbreak response.ConclusionsStatistical models built using machine learning methods such as LASSO have the potential to markedly improve forecasting techniques for recurrent infectious disease outbreaks such as dengue.CitationShi Y, Liu X, Kok SY, Rajarethinam J, Liang S, Yap G, Chong CS, Lee KS, Tan SS, Chin CK, Lo A, Kong W, Ng LC, Cook AR. 2016. Three-month real-time dengue forecast models: an early warning system for outbreak alerts and policy decision support in Singapore. Environ Health Perspect 124:1369-1375;?http://dx.doi.org/10.1289/ehp.1509981.

Dataset Information

Comparing patient and healthcare worker experiences during a dengue outbreak in Singapore: understanding the patient journey and the introduction of a point-of-care test (POCT) toward better care delivery.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets