Disparitas Pembangunan Kesehatan di Indonesia Berdasarkan Indikator Keluarga Sehat Menggunakan Analisis Cluster

Maryani, Herti; Kristiana, Lusi; Paramita, Astridya; Izza, Nailul

doi:10.22435/hsr.v23i1.2622

Cited by 5 publications

(4 citation statements)

References 7 publications

(7 reference statements)

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“…Though the indicators have been an important component in the process of planning and evaluating regional health programs, indicator values have not been evenly distributed across Indonesia. Several studies have found that a regional disparity persists, particularly in the provinces of Papua and West Papua when compared to other provinces in the islands of Java-Bali, Sumatra, Kalimantan, and Sulawesi [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

Classification of Healthy Family Indicators in Indonesia Based on a K-means Cluster Analysis

Maryani,

Rizkianti,

Izza

2024

JPMPH

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Objectives: Health development is a key element of national development. The goal of improving health development at the societal level will be readily achieved if it is directed from the smallest social unit, namely the family. This was the goal of the Healthy Indonesia Program with a Family Approach. The objective of the study was to analyze variables of family health indicators across all provinces in Indonesia to identify provincial disparities based on the status of healthy families.Methods: This study examined secondary data for 2021 from the Indonesia Health Profile, provided by the Ministry of Health of the Republic of Indonesia, and from the 2021 welfare statistics by Statistics Indonesia (BPS). From these sources, we identified 10 variables for analysis using the k-means method, a non-hierarchical method of cluster analysis.Results: The results of the cluster analysis of healthy family indicators yielded 5 clusters. In general, cluster 1 (Papua and West Papua Provinces) had the lowest average achievements for healthy family indicators, while cluster 5 (Jakarta Province) had the highest indicator scores.Conclusions: In Indonesia, disparities in healthy family indicators persist. Nutrition, maternal health, and child health are among the indicators that require government attention.

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Section: Introductionmentioning

confidence: 99%

Classification of Healthy Family Indicators in Indonesia Based on a K-means Cluster Analysis

Maryani,

Rizkianti,

Izza

2024

JPMPH

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“…Provinces in eastern Indonesia with low-level healthy family indicators are Maluku, North Maluku, West Papua and Papua (cluster 4), while provinces with high-level healthy family indicators (cluster 3) are Riau Islands, Jakarta, Yogyakarta, Bali, East Kalimantan, North Kalimantan, South Sulawesi and Gorontalo. 13 A study on maternal and child health in Papua demonstrated that the e lack for midwives and doctors in Papua is extensive, and there is a very high variation between districts/cities in terms of input and performance. 14 Differences in urban–rural areas, travel time to the hospital and transportation costs predict hospital utilisation among outpatients in Papua.…”

Section: Introductionmentioning

confidence: 99%

Regional disparities in hospital utilisation in Indonesia: a cross-sectional analysis data from the 2018 Indonesian Basic Health Survey

Laksono¹,

Wulandari

Rohmah

et al. 2023

BMJ Open

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ObjectivesPolicymakers must ensure that the entire population has equal access to health services, and efforts to minimise inequalities are needed. This study aimed to analyse the regional disparities in hospital utilisation in Indonesia.DesignA cross-sectional study analysing secondary data from the 2018 Indonesian Basic Health Survey.SettingNational-level survey data from Indonesia.ParticipantsA total of 629 370 participants were included in the study.InterventionWe employed no interventionPrimary and secondary outcome measuresThe primary outcome was hospital utilisation. Aside from region, we utilise residence type, age, gender, marital status, educational level, occupation, wealth, insurance and travel time as control variables. We used binary logistic regression in the final analysisResultsThe respondents in Sumatra were 1.079 times (95% CI 1.073 to 1.085) more likely than those in Papua to use the hospital. Furthermore, compared with the respondents in Papua, those in the Java–Bali region (1.075 times, 95% CI 1.069 to 1.081), Nusa Tenggara (1.106 times, 95% CI 1.099 to 1.113), Sulawesi (1.008 times, 95% CI 1.002 to 1.014) and Kalimantan (1.212 times, 95% CI 1.205 to 1.219) were more likely to use the hospital. However, those in Maluku were less likely than those in Papua to use the hospital (0.827 times, 95% CI 0.820 to 0.835). Six demographic variables (age, gender, marital status, educational level, occupation and wealth) and three other control variables (residence type, insurance and travel time to the hospital) were found to be associated with hospital utilisation.ConclusionsOur findings highlight the existence of regional disparities in hospital utilisation in Indonesia.

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“…One of them can be seen from the geographical condition of Maluku Province, which consists of a cluster of islands that poses a challenge to the accessibility of health services in the region. Particular interventions are needed so that health services are felt equally by all Maluku residents (Maryani et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Hospital Utilization in Maluku Province, Indonesia

Sillehu,

Laksono,

Wulandari

et al. 2023

ijph

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Introduction: Maluku is a region characterized by an archipelago with approximately 1,340 islands and an area of 712,479.69 km2. Most of the site is water (92.4%), while the land area is only around 7.6%. Aims: This study aimed to analyze the determinant of hospital utilization in Maluku Province, Indonesia. Methods: This cross-sectional study surveyed 788 respondents. The variables examined included hospital utilization, age group, gender, education level, work type, marital status, health insurance, transportation cost, and time travel. The author used binary logistic regression in the final stage. Results: The results show that the 30-39 age group was 2.293 times more likely than the ≥ 50 age group to utilize the hospital (OR 2.293; 95% CI 1.177 – 4.466). Married people were more likely to use the hospital 1.764 times than those with the never-married category (OR 1.764; 95% CI 1.074 – 2.898). Christians were 1.599 times more likely than Muslims to utilize the hospital (OR 1.599; 95% CI 1.146 – 2.231). Conclusion: The study concluded that three variables are determinants of hospital utilization among people in Maluku Province, Indonesia. The three were age group, marital status, and religion. The study's results were significant for local policymakers to provide specific directions to accelerate the increase in hospital utility in Maluku Province in Indonesia.

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Disparitas Pembangunan Kesehatan di Indonesia Berdasarkan Indikator Keluarga Sehat Menggunakan Analisis Cluster

Cited by 5 publications

References 7 publications

Classification of Healthy Family Indicators in Indonesia Based on a K-means Cluster Analysis

Classification of Healthy Family Indicators in Indonesia Based on a K-means Cluster Analysis

Regional disparities in hospital utilisation in Indonesia: a cross-sectional analysis data from the 2018 Indonesian Basic Health Survey

Hospital Utilization in Maluku Province, Indonesia

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