How health information system could help the leprosy control program in Indonesia?

Rachmani, Enny; Hsu, Chien Yeh; Kurniadi, Arif

doi:10.1109/icici-bme.2013.6698457

Cited by 3 publications

(5 citation statements)

References 8 publications

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“…Studies have found that improving communication networks and internet availability have improved access to health information and furthermore could elevate digital health literacy in the community, including among PHC workers (Edejer, 2000;Berland et al, 2001;Cline and Haynes, 2001;Norman and Skinner, 2006b;Gilmour, 2007;Bujnowska-Fedak, 2015;Vâjâean and Bãban, 2015). Several studies have reported the increasing use of health information technologies in various programs in PHC, such as inpatient electronic registry, processing, and evaluation programs and management, clinical decision support systems, surveillance, and patients monitoring (Pambudi et al, 2004;Tomasi et al, 2004;Ludwick and Doucette, 2009;Tomasi et al, 2009;Denomme et al, 2011;Rachmani et al, 2013;Yazdi-Feyzabadi et al, 2015). Some countries still report poor performance despite having dedicated information systems for PHC (Belanger et al, 2012;Farahat et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Development and validation of an instrument for measuring competencies on public health informatics of primary health care worker (PHIC4PHC) in Indonesia

Rachmani

Hsu

Chang

et al. 2020

Prim Health Care Res Dev

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Abstract Because of the increasing adoption and use of technology in primary health care (PHC), public health informatics competencies (PHIC) are becoming essential for public health workers. Unfortunately, no studies have measured PHIC in resource-limited setting. This paper describes the process of developing and validating Public Health Informatics Competencies for Primary Health Care (PHIC4PHC), an instrument for measuring PHC workers’ competencies in public health informatics. Method: This study developed a questionnaire that had three stages: the Delphi technique, a pretest, and field test. Eleven academicians from a university and 13 PHC workers joined 2 rounds of group discussion in the first stage. The second stage comprised two pilot studies with 75 PHC workers in Semarang Municipality. The third stage involved validating the questionnaire with 462 PHC workers in Kendal District. This study used Pearson’s product-moment correlation for the validity check and Cronbach’s alpha coefficient for determining the internal consistency. This study used the K-means algorithm for clustering the results of the PHIC4PHC questionnaire. Results and Conclusion: PHIC4PHC is the first comprehensive PHIC questionnaire administered in a resource-limited setting, consisting of 11 indicators and 42 measurement items concerning knowledge of health information systems, skills required for health data management, ethical aspects of data sharing and health information literacy. The final results of PHIC4PHC were clustered into three classes based on the K-means algorithm. Overall, 45.7% PHC workers achieved medium competency, whereas 25.6% and 27.7% achieved low and high competency, respectively. Men had higher competency than women. The higher the worker’s level of education, the higher the PHIC level; the longer the worker’s work experience, the lower the PHIC score; and the greater the worker’s age, the lower the PHIC score. Measuring and monitoring PHIC is vital to support successful health IT adoption in PHC.

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Section: Introductionmentioning

confidence: 99%

Development and validation of an instrument for measuring competencies on public health informatics of primary health care worker (PHIC4PHC) in Indonesia

Rachmani

Hsu

Chang

et al. 2020

Prim Health Care Res Dev

Self Cite

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“…This was attributed to participants being receptive and empathetic towards people with these two health conditions. Several nation-wide health awareness campaigns have been implemented across Indonesia aimed to raise awareness on HIV and leprosy (Ibrahim et al, 2010;Rachmani et al, 2013). Thus an increasing number of people now know about HIV and leprosy in Indonesia, and this situation may have been reflected in the findings of this study.…”

Section: Role Of Knowledge and Social Stereotypes In Moderating Percementioning

confidence: 76%

Assessing the prospect of a common health-related stigma reduction response: Cross-perspectives of people living with stigmatised health conditions in Indonesia

Sing

Syurina

Peters

et al. 2020

Global Public Health

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This study explored the possibility of a common health-related stigma reduction intervention among people living with HIV, leprosy, schizophrenia and diabetes in Indonesia by assessing their perspectives towards others with the same (within group) and different health conditions (across groups), and willingness to participate in such a program. This mixed-methods study was conducted in West Java, Indonesia between March and June 2018. Eighty participants completed a survey with social distance scale (SDS), while 12 focus group discussion were conducted. Participants with HIV, leprosy and diabetes reported lower within-group SDS scores (4.14 ± 3.65; 4.25 ± 3.95; 7.23 ± 5.31, respectively) while those with schizophrenia reported the highest within-group SDS score (7.76 ± 4.63). Participants with diabetes reported a twofold higher across-group SDS score towards people with the other three health conditions (p < 0.05). The qualitative findings showed that the perception of participants towards one another was shaped by knowledge, understanding and relatedness to the experience of living with health-related stigma. Overall, participants supported the idea of a common stigma reduction intervention for different health conditions, but recommended step-wise implementation of such interventions. Accordingly, this study recommends piloting a common stigma reduction intervention with special focus on fostering understanding, awareness and empathy between people living with different health conditions.

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“…In consonance of previous studies, the present study also suggests that text messages are the most applicable tool for leprosy control programs in Indonesia, if notifications are sent to patients, relatives, and leprosy surveillance officers. 5,8,9,20 Hence, relatives or friends can remind leprosy patients of their schedules to visit PHC, in case patients are not able to handle a mobile phone. Furthermore, LSOs could update the status of MDT patients and take necessary actions to prevent irregular medication and defaulting.…”

Section: Discussionmentioning

confidence: 99%

“…6,7 Until recently, no study has implemented mHealth innovation (eg, SMS reminders) for improving patients' adherence to a leprosy MDT regimen; there have been suggestions from previous research regarding digital technology and leprosy control programs in Indonesia. 8 In Indonesia, primary health care (PHC) is responsible for controlling leprosy through a surveillance program. Approximately 9000 PHCs are led by 530 district health officers to detect new cases, monitor the treatment, and evaluate the outcome.…”

Section: Introductionmentioning

confidence: 99%

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Encouraging On-Time Completion of Leprosy Patients Treatment: Implementing E-Leprosy Framework to Primary Health Care in Indonesia

Rachmani

Hsu

Chang

et al. 2019

Asia Pac J Public Health

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Low adherence to leprosy treatment is the main challenge in Indonesia. This is a quasi-experimental observational study in a real setting of a leprosy control program in Indonesia. The study is aimed at evaluating an e-leprosy framework in increasing the rate of on-time attendance at primary health care and on-time completion of treatment of leprosy patients. This study has implemented an e-leprosy framework for primary health care at Pekalongan District. The intervention was conducted for 19 months to observe a 1-episode long-term treatment of leprosy patients. The study collected data of 391 registered patients from June 2012 to March 2016. Based on the inclusion and exclusion criteria, this study selected 188 patients. The SMS (short message service) reminders proved to be effective in increasing on-time completion and on-time attendance rates by 21% and 14.6%, respectively. There is a trend for late collections of the drugs at the 3rd, 8th, and 11th multidrug therapy drug collections.

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How health information system could help the leprosy control program in Indonesia?

Cited by 3 publications

References 8 publications

Development and validation of an instrument for measuring competencies on public health informatics of primary health care worker (PHIC4PHC) in Indonesia

Development and validation of an instrument for measuring competencies on public health informatics of primary health care worker (PHIC4PHC) in Indonesia

Assessing the prospect of a common health-related stigma reduction response: Cross-perspectives of people living with stigmatised health conditions in Indonesia

Encouraging On-Time Completion of Leprosy Patients Treatment: Implementing E-Leprosy Framework to Primary Health Care in Indonesia

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