Knowledge and acceptance associated with medication adherence among hypertension individuals in Aceh province, Indonesia.

Low adherence to anti-hypertensive medication is observed among individuals in Aceh, the westernmost province of Indonesia. Since uncontrolled hypertension has the potential to develop into a life-threatening disease, exploring medication adherence among this specific population is essential. Therefore, this study aimed to evaluate knowledge and acceptance associated with medication adherence among hypertensive individuals in Aceh Province. A cross-sectional study was conducted from March to July 2023 on 534 respondents diagnosed with hypertension, who were selected using the random sampling method. Demographic characteristics collected included body height and weight, age, gender, education, ethnicity, and occupation. Acceptance and knowledge were measured through a set of standardized questionnaires while the Morisky Medication Adherence Scale-8 was used for evaluating medication adherence. Logistic regression with a multinomial model was used to assess the correlations of acceptance and knowledge with medication adherence. The results showed that only 28.5 % of the respondents had high adherence to anti-hypertensive medication. Furthermore, a high level of acceptance towards hypertension significantly predicted medication adherence (p < 0.001; OR = 9.14 [95%CI: 3.49-23.94]). Knowledge about dosing frequency, the benefits of low-fat and sodium diets, and the negative impacts of drinking alcohol were correlated with high-level adherence (p < 0.01). Meanwhile, knowledge about renal complications correlated negatively with adherence level (p = 0.002; OR = 0.32 [95%CI: 0.16-0.66]). In conclusion, this study showed that acceptance and knowledge of hypertension correlated with the level of medication adherence.

Impact of the WHO Safe Childbirth Checklist on safety culture among health workers: A randomized controlled trial in Aceh, Indonesia.

The World Health Organization (WHO) developed the Safe Childbirth Checklist (SCC) to increase the application of essential birth practices to ultimately reduce perinatal and maternal deaths. We study the effects of the SCC on health workers safety culture, in the framework of a cluster-randomized controlled trial (16 treatment facilities/16 control facilities). We introduced the SCC in combination with a medium intensity coaching in health facilities which already offered at minimum basic emergency obstetric and newborn care (BEMonC). We assess the effects of using the SCC on 14 outcome variables measuring self-perceived information access, information transmission, frequency of errors, workload and access to resources at the facility level. We apply Ordinary Least Square regressions to identify an Intention to Treat Effect (ITT) and Instrumental Variable regressions to determine a Complier Average Causal Effect (CACE). The results suggest that the treatment significantly improved self-assessed attitudes regarding the probability of calling attention to problems with patient care (ITT 0.6945 standard deviations) and the frequency of errors in times of excessive workload (ITT -0.6318 standard deviations). Moreover, self-assessed resource access increased (ITT 0.6150 standard deviations). The other eleven outcomes were unaffected. The findings suggest that checklists can contribute to an improvement in some dimensions of safety culture among health workers. However, the complier analysis also highlights that achieving adherence remains a key challenge to make checklists effective.

The state of diabetes care and obstacles to better care in Aceh, Indonesia: a mixed-methods study.

BACKGROUND: Cardio-metabolic diseases are a major cause of death worldwide, including in Indonesia, where diabetes is one of the most critical diseases for the health system to manage. METHODS: We describe the characteristics, levels of control, health behavior, and diabetes-related complications of diabetes patients in Aceh, Indonesia. We use baseline data and blood testing from a randomized-controlled trial. We conducted semi-structured interviews with eight health providers from Posbindu and Prolanis programs that target diabetes and other non-communicable diseases (NCDs). We also conducted three focus group discussions with 24 diabetes patients about their experiences of living with diabetes and the existing support programs. RESULTS: The blood tests revealed average HbA1c levels indicative of poor glycemic control in 75.8 percent of patients and only 20.3 percent were free from any symptoms. Our qualitative findings suggest that patients are diagnosed after diabetes-related symptoms manifest, and that they find it hard to comply with treatment recommendations and lifestyle advice. The existing programs related to NCDs are not tailored to their needs. CONCLUSION: We identify the need to improve diabetes screening to enable earlier treatment and achieve better control of the disease. Among diagnosed patients, there are widespread beliefs about diabetes medication and alternative forms of treatment that need to be addressed in a respectful dialogue between healthcare professionals and patients. Current diabetes screening, treatment and management programs should be revised to meet the needs of the affected population and to better respond to the increasing burden of this disease.

Knowledge management strategy for managing disaster and the COVID-19 pandemic in Indonesia: SWOT analysis based on the analytic network process.

Indonesia has significant expertise in disaster management due to its disaster geography. Collective expertise and knowledge are valuable resources for lowering disaster risk and enhancing disaster resilience. Additionally, in the current pandemic situation, a clearer understanding of COVID-19 is growing, which could make a difference in how effectively we respond to this and future pandemics. Therefore, it is crucial to record and maintain information related to the event in order to handle any crisis and COVID-19 pandemic appropriately. The goal of this study is to explore KM implementation approaches for handling disasters and the COVID-19 pandemic in Indonesia. In order to collect data for this study, 20 experts were interviewed and 30 experts participated in a Focus Group Discussion (FGD). SWOT analysis was utilised in this study to find different KM implementation strategies. The Analytic Network Process (ANP) was used to prioritize several previously discovered strategies. The study finds that the approach which must be prioritised is to ensure that knowledge products can be accessed by the public, and they must include the community (family) as subjects in establishing knowledge management methods (not only the government or institutions).

Evaluation of atopic dermatitis severity using artificial intelligence.

Atopic dermatitis is a prevalent and persistent chronic inflammatory skin disorder that poses significant challenges when it comes to accurately assessing its severity. The aim of this study was to evaluate deep learning models for automated atopic dermatitis severity scoring using a dataset of Aceh ethnicity individuals in Indonesia. The dataset of clinical images was collected from 250 patients at Dr. Zainoel Abidin Hospital, Banda Aceh, Indonesia and labeled by dermatologists as mild, moderate, severe, or none. Five pretrained convolutional neural networks (CNN) architectures were evaluated: ResNet50, VGGNet19, MobileNetV3, MnasNet, and EfficientNetB0. The evaluation metrics, including accuracy, precision, sensitivity, specificity, and F1-score, were employed to assess the models. Among the models, ResNet50 emerged as the most proficient, demonstrating an accuracy of 89.8%, precision of 90.00%, sensitivity of 89.80%, specificity of 96.60%, and an F1-score of 89.85%. These results highlight the potential of incorporating advanced, data-driven models into the field of dermatology. These models can serve as invaluable tools to assist dermatologists in making early and precise assessments of atopic dermatitis severity and therefore improve patient care and outcomes.

Perceived Risk of Being Infected With SARS-CoV-2: A Perspective From Indonesia.

OBJECTIVES: The aim of this study was to determine the level of coronavirus disease 2019 (COVID-19) risk perceptions in Indonesia and characterize predictors of perceptions. METHODS: An online cross-sectional study was conducted. A questionnaire assessed perceived risk and collected independent variables, including sociodemographic data. A multivariable linear regression model was used to characterize the relationship between independent variables and perceived risk. RESULTS: We included 1379 respondents in the final analysis with the mean and median of perceived risk score was 19.21% and 10.0%, respectively. Respondents aged between 21 and 30 years had the highest perceived risk, and those who were unmarried had 4.3% higher perceived risk compared with those who were married. Compared with the lowest monthly income group, those making Indonesian Rupiah (IDR) 6-10 million and more than IDR 10 million a month believed they had 4.2% and 8.8% higher risk, respectively. Citizens who lived in cities and health-care workers also had a higher perceived risk compared with those in the rural areas and non-health-care workers, respectively. CONCLUSIONS: Perceived risk of COVID-19 in Indonesia is relatively low, and this could hamper the adoption of preventive measures of COVID-19. Efforts to increase the awareness and perceived risk are important to prevent the pandemic from escalating.

Knowledge creation elements for enhancing community resilience towards disaster: A Delphi study.

Knowledge capacity plays a vital role in building community resilience to disasters. However, the problem is that there is no resilience framework that integrates the knowledge creation process. This article introduces a new framework for increasing community resilience based on knowledge creation theory (KCT). This research aims to define the elements that support the Knowledge Creation for Community Resilience (KCCR) and to gain consensus from experts on these factors. This study was conducted using semi-structured interviews with five panellists and three rounds of Delphi technique to determine the assessment of 26 factors (including six additional factors) that have been identified by experts (30, 18 and 11 experts in rounds I, II and III, sequentially). The data analysis was carried out in several stages, and included Spearman's Rank Correlation Coefficient, consensus appraisal and interrater agreement (IRA) statistical evaluation. The result of the agreement level (AL) analysis shows that the majority of the constructs (96.15%) are in the 'moderate strong' category. This study shows that there is a significant consensus (with IRA index [a wg(1)] ranging from 0.529 to 1), and panellists confirm the significance of all the key constructs. Consensus was gained from experts on seven elements that support the KCCR. This study establishes a systematic, operational and multidimensional KCCR framework that combines the concepts of knowledge creation, community resilience and disaster preparedness. This framework can be used as a qualitative instrument or guidance to build community resilience based on knowledge creation and a quantitative tool for measuring community resilience in facing disasters.

Effects of the World Health Organization Safe Childbirth Checklist on Quality of Care and Birth Outcomes in Aceh, Indonesia: A Cluster-Randomized Clinical Trial.

Importance: To address major causes of perinatal and maternal mortality, the World Health Organization developed the Safe Childbirth Checklist (SCC), which to our knowledge has been rigorously evaluated only in combination with high-intensity coaching. Objective: To evaluate the effect of the SCC with medium-intensity coaching on health care workers' performance of essential birth practices. Design, Setting, and Participants: This cluster randomized clinical trial without blinding included 32 hospitals and community health centers in the province of Aceh, Indonesia (a medium-resource setting) that met the criterion of providing at least basic emergency obstetric and newborn care. Baseline data were collected from August to October 2016, and outcomes were measured from March to April 2017. Data were analyzed from January 2020 to October 2021. Interventions: After applying an optimization method, facilities were randomly assigned to the treatment or control group (16 facilities each). The SCC with 11 coaching visits was implemented during a 6-month period. Main Outcomes and Measures: For the primary outcome, clinical observers documented whether 36 essential birth practices were applied at treatment and control facilities at 1 or more of 4 pause points during the birthing process (admission to the hospital, just before pushing or cesarean delivery, soon after birth, and before hospital discharge). Probability models for binary outcome measures were estimated using ordinary least-squares regressions, complemented by Firth logit and complier average causal effect estimations. Results: Among the 32 facilities that participated in the trial, a significant increase of up to 41 percentage points was observed in the application of 5 of 36 essential birth practices in the 16 treatment facilities compared with the 16 control facilities, including communication of danger signs at admission (treatment: 136 of 155 births [88%]; control: 79 of 107 births [74%]), measurement of neonatal temperature (treatment: 9 of 31 births [29%]; control: 1 of 20 births [5%]), newborn feeding checks (treatment: 22 of 34 births [65%]; control: 5 of 21 births [24%]), and the rate of communication of danger signs to mothers and birth companions verbally (treatment: 30 of 36 births [83%]; control: 14 of 22 births [64%]) and in a written format (treatment: 3 of 24 births [13%]; control: 0 of 16 births [0%]). Conclusions and Relevance: In this cluster randomized clinical trial, health facilities that implemented the SCC with medium-intensity coaching had an increased rate of application for 5 of 36 essential birth practices compared with the control facilities. Medium-intensity coaching may not be sufficient to increase uptake of the SCC to a satisfying extent, but it may be worthwhile to assess a redesigned coaching approach prompting long-term behavioral change and, therefore, effectiveness. Trial Registration: isrctn.org Identifier: ISRCTN11041580.

Quality of life, depression, and anxiety of patients undergoing hemodialysis: Significant role of acceptance of the illness.

OBJECTIVE: Routine dialysis is stressful. It has the possibility of leading to depression and anxiety and also reducing patients' quality of life. Despite these significant consequences, these comorbidities have been rarely studied among Indonesian patients. This study aims to examine the rate of depression, anxiety, and the role of acceptance of their illness on patients' quality of life. METHOD: A total of 213 patients undergoing hemodialysis in three general hospitals in Aceh, Indonesia, were included in the study. The presence of depression, anxiety, and the quality of life of each patient was assessed using the hospital anxiety and depression scale and WHO quality of life-BREF questionnaires. RESULTS: The prevalence of depression and anxiety was 46% and 30.5%, respectively. Depression was only associated with the presence of anxiety and the duration of hemodialysis. Anxiety was negatively associated with quality of life but positively associated with depression and the prescription of an anxiolytic. Overall quality of life was associated with age, body mass index, the presence of anxiety, and acceptance of the illness. Acceptance of the illness was also independently associated with almost every domain of patients' quality of life. CONCLUSIONS: The rates of depression and anxiety among patients undergoing hemodialysis in the current study setting are relatively similar to the rates in other settings. Patients' acceptance of their illnesses is significantly associated with the occurrence of anxiety and quality of life. Therefore, health practitioners should help patients accept their illnesses and the administration of regular hemodialysis.

Earthquake hazard and risk assessment using machine learning approaches at Palu, Indonesia.

On 28th September 2018, a very high magnitude of earthquake Mw 7.5 struck the Palu city in the Island of Sulawesi, Indonesia. The main objective of this research is to estimate the earthquake risk based on probability and hazard in Palu region using cross-correlation among the derived parameters, Silhouette clustering (SC), pure locational clustering (PLC) based on hierarchical clustering analysis (HCA), convolutional neural network (CNN) and analytical hierarchy process (AHP) techniques. There is no specific or simple way of identifying risks as the definition of risk varies with time and space. The main aim of this study is: i) to conduct the clustering analysis to identify the earthquake-prone areas, ii) to develop a CNN model for probability estimation, and iii) to estimate and compare the risk using two calculation equations (Risk A and B). Owing to its high prediction ability, the CNN model assessed the probability while SC and PLC were implemented to understand the spatial clustering, Euclidean distance among clusters, spatial relationship and cross-correlation among the estimated Mw, PGA and intensity including events depth. Finally, AHP was implemented for the vulnerability assessment. To this end, earthquake probability assessment (EPA), susceptibility to seismic amplification (SSA) and earthquake vulnerability assessment (EVA) results were employed to generate risk A, while earthquake hazard assessment (EHA), SSA and EVA were used to generate risk B. The risk maps were compared and the differences in results were obtained. This research concludes that in the case of earthquake risk assessment (ERA), results obtained in Risk B are better than the risk A. This study achieved 89.47% accuracy for EPA while for EVA a consistency ratio of 0.07. These results have important implications for future large-scale risk assessment, land use planning and hazard mitigation.

The prevalence and associated factors of metabolic syndrome among patients with end-stage renal failure undergoing hemodialysis in Indonesia.

BACKGROUND AND AIMS: Various components of Metabolic Syndrome (MetS) have been studied in general population, but few among patients undergoing hemodialysis (HD). This study aims to assess the metabolic profiles and to estimate the prevalence of MetS among patients with End-Stage Renal Failure (ESRF) undergoing HD. METHODS: Patients undergoing HD during October 2016-August 2017 in three General Hospitals in Aceh - Indonesia were included in the study. MetS was defined according to the modified NCEP-ATP III criteria for South Asians. RESULTS: The overall prevalence of MetS was 50.2%. Male patients have higher MetS prevalence (58.3%) than female (41.7%). MetS was only associated with gender and history of diabetes, and not with other demographic variables. Alteration central obesity was the most common metabolic abnormality among the patients (57.2%), followed by hypertension (30.7%), diabetes (30%), raised triglycerides (27.4%) and reduced HDL (23.7%). Pre-metabolic syndrome was found in 48.3%, leaving only 1.4% of patients free from metabolic abnormality. CONCLUSIONS: Half of the patients undergoing HD in Indonesia suffered from MetS and almost half had pre-metabolic syndrome. High rate of metabolic abnormalities in patients with ESRF requires intensive examination and collaboration between nephrologists and endocrinologists to prevent the deterioration of patients' condition during HD.

Willingness-to-pay for a COVID-19 vaccine and its associated determinants in Indonesia.

How countries, particularly low- and middle-income economies, should pay the coronavirus disease 2019 (COVID-19) vaccine is an important and understudied issue. We undertook an online survey to measure the willingness-to-pay (WTP) for a COVID-19 vaccine and its determinants in Indonesia. The WTP was assessed using a simple dichotomous contingent valuation approach and a linear regression model was used to assess its associated determinants. There were 1,359 respondents who completed the survey. In total, 78.3% (1,065) were willing to pay for the COVID-19 vaccine with a mean and median WTP of US$ 57.20 (95%CI: US$ 54.56, US$ 59.85) and US$ 30.94 (95%CI: US$ 30.94, US$ 30.94), respectively. Being a health-care worker, having a high income, and having high perceived risk were associated with higher WTP. These findings suggest that the WTP for a COVID-19 vaccine is relatively high in Indonesia. This WTP information can be used to construct a payment model for a COVID-19 vaccine in the country. Nevertheless, to attain higher vaccine coverage, it may be necessary to partially subsidize the vaccine for those who are less wealthy and to design health promotion materials to increase the perceived risk for COVID-19 in the country.

DNA barcoding of commercially important reef fishes in Weh Island, Aceh, Indonesia.

Knowledge on the precise identification of fish resources is critical for sustainable fisheries management. This study employs the DNA barcoding approach to generate a molecular taxonomic catalogue of commercially important reef fishes in the waters of Weh Island (Aceh Province), the most northerly inhabited island in the biodiverse Indonesian Archipelago. The waters not only support artisanal fisheries but also a feeder for the industry in the greater island of Aceh. In total, 230 specimens from 72 species belonging to 32 genera and 17 families were DNA barcoded, representing a major segment of the captured reef fish taxa and a quarter of fish species diversity that had previously been recorded. The sequence read lengths were 639 bp revealing 359 conserved sites, 280 variable sites, 269 parsimony informative and 11 singletons. Our molecular findings paralleled the morphological identification with no evidence of cryptic species or new species discovery. This study is a significant contribution to the fisheries statistics of this area, which would facilitate assessment of species catch composition and hence for strategizing management plans. It is an important input to the DNA barcode library of Indonesian marine fishes and to the global DNA barcode entries in general.

Acceptance of a COVID-19 Vaccine in Southeast Asia: A Cross-Sectional Study in Indonesia.

Introduction: Several vaccine candidates are being clinically tested in response to the 2019 coronavirus disease (COVID-19) pandemic. This study was conducted to assess the acceptance of a 50 or 95% effective COVID-19 vaccine, when it becomes available in southeast Asia, among the general population in Indonesia. Methods: A cross-sectional online survey was conducted between March 25 and April 6, 2020. Participants were asked if they would accept a free vaccine which was 95 or 50% effective. Using a logistic regression model, we assessed the associations between sociodemographic characteristics, exposure to COVID-19 information, or perceived risk of infection with acceptance of a hypothetical COVID-19 vaccine. Results: Among 1,359 respondents, 93.3% of respondents (1,268/1,359) would like to be vaccinated for a 95% effective vaccine, but this acceptance decreased to 67.0% (911/1,359) for a vaccine with 50% effectiveness. For a 95% effective vaccine, being a healthcare worker and having a higher perceived risk of COVID-19 infection were associated with higher acceptance, adjusted odds ratio (aOR): 2.01; 95%CI: 1.01, 4.00 and aOR: 2.21; 95%CI: 1.07, 4.59, respectively; compared to civil servants, being retired was associated with less acceptance (aOR: 0.15; 95%CI: 0.04, 0.63). For a 50% effective vaccine, being a healthcare worker was also associated with greater acceptance, aOR: 1.57; 95%CI: 1.12, 2.20. Conclusion: Acceptance of a COVID-19 vaccine was highly influenced by the baseline effectiveness of the vaccine. Preparing the general population to accept a vaccine with relatively low effectiveness may be difficult.

Healthcare providers' perception of the referral system in maternal care facilities in Aceh, Indonesia: a cross-sectional study.

OBJECTIVES: Our study investigates the barriers perceived by staff in the referral systems in maternal healthcare facilities across Aceh province in Indonesia. DESIGN: With a cross-sectional approach, two sets of surveys were administered during September to October 2016 in 32 sampling units of our study. We also collected referral data in the form of the frequency of ingoing and outgoing referral cases per facility. SETTING: In three districts, Aceh Besar, Banda Aceh and Bireuen, a total of 32 facilities including hospitals, community health centres, and private midwife clinics that met the criteria of providing at least basic emergency obstetric and neonatal care (BEonC) were covered. PARTICIPANTS: Across the 32 healthcare centres, 149 members of staff (mainly midwives) agreed to participate in our surveys. PRIMARY AND SECONDARY OUTCOME MEASURES: The first survey consisted of 65 items focusing on organisational measures as well as case numbers for example, patient counts, mortality rate and complications. The second survey with 68 items asked healthcare providers about a range of factors including attitudes towards the referral process in their facility and potential barriers to a well-functioning system in their district. RESULTS: Overall, mothers'/families' consent as well as the complex administration process were found to be the main barriers (36% and 12%, respectively). Healthcare providers noted that information about other facilities has the biggest room for improvement (37%) rather than transport, timely referral of mothers and babies, or the availability of referral facilities. CONCLUSIONS: The largest barrier perceived by healthcare providers in our study was noted to be family consent and administrative burden. Moreover, lack of information about the referral system itself and other facilities seemed to be affecting healthcare providers and mothers/families alike and improvements perhaps through a shared information system is needed.

Using peer education to improve diabetes management and outcomes in a low-income setting: a randomized controlled trial.

BACKGROUND: Diabetes is an important health burden in Indonesia. However, diabetes management and treatment remain poor, with most people with diabetes in Indonesia not achieving the recommended blood glucose levels. Peer education may have particular potential in low-income settings in complementing diabetes care without being a large additional strain on the health system. METHODS/DESIGN: This cluster randomized controlled trial aims to identify the effect of the implementation of peer education for patients with type 2 diabetes on diabetes-related outcomes in Aceh, Indonesia, which will complement the diabetes treatment provided at primary-care health posts (puskesmas). Altogether, 29 puskesmas were recruited in Banda Aceh and Aceh Besar, each of which was randomly assigned to either the control or the intervention group. Then, 534 people with diabetes were identified and recruited through their respective puskesmas. The intervention consists of up to two peer education groups per puskesmas, which are led by previously trained people with diabetes. Peer education sessions are held every month for 18 months, with follow-up data being collected 9 and 18 months after the first peer education session. The main objective is to improve diabetes management and the health behavior of participants receiving peer education to reduce their average blood glucose levels as measured by glycated hemoglobin (HbA1c) levels. Secondary outcomes are the effects of peer education on lipid levels, waist circumference, blood pressure, quality of life, treatment adherence, diabetes knowledge, physical activity, and dietary diversity. Data sources for the measurement of outcomes include patient and health facility surveys and biomarker measurements. An economic evaluation will be conducted to assess the cost-effectiveness of the intervention. DISCUSSION: This trial will contribute to the evidence on the effectiveness and cost-effectiveness of peer education in improving diabetes management in a low-income setting in Indonesia and in other comparable contexts. TRIAL REGISTRATION: ISRCTN registry, ISRCTN68253014 . Registered on 18 February 2019.

Prevalence, comorbidity and predictors of post-traumatic stress disorder, depression, and anxiety in adolescents following an earthquake.

BACKGROUND: This study sought to assess prevalence rate, comorbidity and predictors of Post-Traumatic Stress Disorder (PTSD), depression and anxiety among adolescents affected by the 2016 Aceh Earthquake. METHODS: A cross-sectional study was conducted six months after the earthquake. The multi-stage random sampling method was applied to a selection of respondents from district schools. A total of 321 students participated in the study. In addition to generating demographic data, a brief PTSD inventory, the Patient Health Questionnaire (PHQ), the Generalized Anxiety Disorder (GAD-7) questionnaire and the Disaster Impact Questionnaire (DIQ) were administered. RESULTS: Approximately 58.3%, 16.8% and 32.1% of adolescents reported the clinical symptoms of PTSD, depression and anxiety, respectively. The associations and comorbidity between PTSD, depression, and anxiety were statistically significant (p = 0.001). Gender, depression, having directly seen someone injured or trapped, the injury or hospitalization of a member of the nuclear family and being afraid to stay inside a building since the earthquake were demonstrated to be the significant predictors for PTSD. The injury and hospitalization of a member of the nuclear family and feeling stressed after the earthquake were significant predictors for depression. Having been injured, having one's house destroyed; being afraid to stay inside a building and gender were significant predictors for generalized anxiety disorder. CONCLUSIONS: The prevalence of PTSD in the current study population is relatively high and the fact that a significant number of adolescents were afraid to stay inside a building following the earthquake calls for further investigation and treatments.