Healthcare-seeking Pattern in Sleman District, YOGYAKARTA: an Observational Analysis Using Secondary Data of Longitudinal Surveillance System HDSS-Sleman Cycle 2 (2016)

Objective Several factors that already persist in the society, namely person´s socioeconomic status (SES), beliefs and illness severity perception might play an important role for healthcare-seeking decision. This paper aims to investigate and describe the care-seeking behaviour pattern upon Sleman District´s population.Methods Secondary data derived from standardised interview and questionnaire were analysed. Each head of the household was asked regarding their family sociodemographic background, health status, and care-seeking behaviour pattern. The interview was belong to the second survey wave, gathered in amount of 19,593 participants, and were taking place between July and September 2015. Cut-off method was used to screen eligible participants, in which 11,516 remain. Bivariate analysis was done using Pearson-chi square method in order to observe the goodness of fit of population\u27s care-seeking pattern with sociodemographic variables and health status. Multivariate analysis was run through the logistic regression in order to predict and explain the relationship between care-seeking pattern and sociodemographic variables. Results In Sleman District, Yogyakarta, Indonesia –based on HDSS-Sleman second wave´s survey analysis, about four out of ten samples who stated themselves as sick in 2015 did still not practice care-seeking behaviour. Several demographic factors such sex, age, educational backgrounds, family wealth and health insurance ownership are significantly related with the care-seeking decision. But there was no significant care-seeking difference against parental ethnicity, as well as in District\u27s rural and urban area.Conclusions It has been confirmed that care-seeking behaviour upon Sleman District\u27s population depends on the person\u27s socioeconomic status and illness severity. Some important findings were including U-shaped function of care-seeking behaviour against some age groups and educational background.Keywords HDSS-Sleman, healthcare-seeking behaviour, Pearson-chi square, socioeconomic status (SES

Healthcare-seeking pattern in Sleman District, Yogyakarta: an observational analysis using secondary data of longitudinal surveillance system HDSS-Sleman cycle 2 (2016)

ABSTRACTObjective Several factors that already persist in the society, namely person´s socioeconomic status (SES), beliefs and illness severity perception might play an important role for healthcare-seeking decision. This paper aims to investigate and describe the care-seeking behaviour pattern upon Sleman District´s population.Methods Secondary data derived from standardised interview and questionnaire were analysed. Each head of the household was asked regarding their family sociodemographic background, health status, and care-seeking behaviour pattern. The interview was belong to the second survey wave, gathered in amount of 19,593 participants, and were taking place between July and September 2015. Cut-off method was used to screen eligible participants, in which 11,516 remain. Bivariate analysis was done using Pearson-chi square method in order to observe the goodness of fit of population’s care-seeking pattern with sociodemographic variables and health status. Multivariate analysis was run through the logistic regression in order to predict and explain the relationship between care-seeking pattern and sociodemographic variables. Results In Sleman District, Yogyakarta, Indonesia –based on HDSS-Sleman second wave´s survey analysis, about four out of ten samples who stated themselves as sick in 2015 did still not practice care-seeking behaviour. Several demographic factors such sex, age, educational backgrounds, family wealth and health insurance ownership are significantly related with the care-seeking decision. But there was no significant care-seeking difference against parental ethnicity, as well as in District’s rural and urban area.Conclusions It has been confirmed that care-seeking behaviour upon Sleman District’s population depends on the person’s socioeconomic status and illness severity. Some important findings were including U-shaped function of care-seeking behaviour against some age groups and educational background.Keywords HDSS-Sleman, healthcare-seeking behaviour, Pearson-chi square, socioeconomic status (SES

Effects of heat and personal protective equipment on thermal strain in healthcare workers: part B—application of wearable sensors to observe heat strain among healthcare workers under controlled conditions

Purpose As climate change accelerates, healthcare workers (HCW) are expected to be more frequently exposed to heat at work. Heat stress can be exacerbated by physical activity and unfavorable working requirements, such as wearing personal protective equipment (PPE). Thus, understanding its potential negative effects on HCW´s health and working performance is becoming crucial. Using wearable sensors, this study investigated the physiological effects of heat stress due to HCW-related activities. Methods Eighteen participants performed four experimental sessions in a controlled climatic environment following a standardized protocol. The conditions were (a) 22 °C, (b) 22 °C and PPE, (c) 27 °C and (d) 27 °C and PPE. An ear sensor (body temperature, heart rate) and a skin sensor (skin temperature) were used to record the participants´ physiological parameters. Results Heat and PPE had a significant effect on the measured physiological parameters. When wearing PPE, the median participants’ body temperature was 0.1 °C higher compared to not wearing PPE. At 27 °C, the median body temperature was 0.5 °C higher than at 22 °C. For median skin temperature, wearing PPE resulted in a 0.4 °C increase and higher temperatures in a 1.0 °C increase. An increase in median heart rate was also observed for PPE (+ 2/min) and heat (+ 3/min). Conclusion Long-term health and productivity risks can be further aggravated by the predicted temperature rise due to climate change. Further physiological studies with a well-designed intervention are needed to strengthen the evidence for developing comprehensive policies to protect workers in the healthcare sector