The Correlation of Early Detection Results using Self Detection Application for Diabetes (SEDAB) with Haemoglobin A1C (HBA1C) Levels
The increasing cases of diabetes mellitus significantly from year to year increase the burden on society and the government, because it requires time, cost and technology in handling. This disease can be controlled if the symptoms are detected early. The purpose of this research was to determine the...
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| Format: | Article |
| Language: | English |
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STIKes Patria Husada Blitar in collaboration with PPNI Kabupaten blitar
2022-08-01
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| Series: | Jurnal Ners dan Kebidanan |
| Subjects: | |
| Online Access: | http://jnk.phb.ac.id/index.php/jnk/article/view/858 |
| _version_ | 1811281114829946880 |
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| author | Agus Priyanto Eko Dian Hadi Suprayitno Andika Santo Suhirman |
| author_facet | Agus Priyanto Eko Dian Hadi Suprayitno Andika Santo Suhirman |
| author_sort | Agus Priyanto |
| collection | DOAJ |
| description | The increasing cases of diabetes mellitus significantly from year to year increase the burden on society and the government, because it requires time, cost and technology in handling. This disease can be controlled if the symptoms are detected early. The purpose of this research was to determine the correlation between the results of early detection using self-detection application for diabetes (SEDAB) with hemoglobin A1C (HbA1C) levels. The research was carried out on June 2022. The research was a correlative research with a cross sectional approach. The population was the people of the Mojoroto Kediri village. The samples were taken with consideration of a minimum sample of 30 respondents with simple random sampling technique. The instrument used to assess the level of symptoms of diabetes mellitus was the SEDAB application. Diabetes Mellitus category was assessed through the observation sheet of laboratory examination results Hemoglobin A1C (HbA1C. The data analysis used the Spearman Rank test. The test results with the Spearman rank test showed a p-value of = 0.000. This meant that there was a correlation between the level of diabetes mellitus symptoms results detection with Self Detection Application for Diabetic (SEDAB) with diabetes mellitus level based on HBA1c examination results. It is important for health workers to expand the scope of early detection of diabetes mellitus by promoting independent early detection using an effective and efficient diabetes mellitus early detection instrument, namely the SEDAB application which easy to access and use. |
| first_indexed | 2024-04-13T01:26:23Z |
| format | Article |
| id | doaj.art-632b181b80484596a4cfed3107699a5c |
| institution | Directory Open Access Journal |
| issn | 2355-052X 2548-3811 |
| language | English |
| last_indexed | 2024-04-13T01:26:23Z |
| publishDate | 2022-08-01 |
| publisher | STIKes Patria Husada Blitar in collaboration with PPNI Kabupaten blitar |
| record_format | Article |
| series | Jurnal Ners dan Kebidanan |
| spelling | doaj.art-632b181b80484596a4cfed3107699a5c2022-12-22T03:08:37ZengSTIKes Patria Husada Blitar in collaboration with PPNI Kabupaten blitarJurnal Ners dan Kebidanan2355-052X2548-38112022-08-019220521010.26699/jnk.v9i2.ART.p205-210508The Correlation of Early Detection Results using Self Detection Application for Diabetes (SEDAB) with Haemoglobin A1C (HBA1C) LevelsAgus Priyanto0Eko Dian Hadi Suprayitno1Andika Santo Suhirman2STIKes Ganesha Husada KediriSTIKes Ganesha Husada KediriSTIKes Ganesha Husada KediriThe increasing cases of diabetes mellitus significantly from year to year increase the burden on society and the government, because it requires time, cost and technology in handling. This disease can be controlled if the symptoms are detected early. The purpose of this research was to determine the correlation between the results of early detection using self-detection application for diabetes (SEDAB) with hemoglobin A1C (HbA1C) levels. The research was carried out on June 2022. The research was a correlative research with a cross sectional approach. The population was the people of the Mojoroto Kediri village. The samples were taken with consideration of a minimum sample of 30 respondents with simple random sampling technique. The instrument used to assess the level of symptoms of diabetes mellitus was the SEDAB application. Diabetes Mellitus category was assessed through the observation sheet of laboratory examination results Hemoglobin A1C (HbA1C. The data analysis used the Spearman Rank test. The test results with the Spearman rank test showed a p-value of = 0.000. This meant that there was a correlation between the level of diabetes mellitus symptoms results detection with Self Detection Application for Diabetic (SEDAB) with diabetes mellitus level based on HBA1c examination results. It is important for health workers to expand the scope of early detection of diabetes mellitus by promoting independent early detection using an effective and efficient diabetes mellitus early detection instrument, namely the SEDAB application which easy to access and use.http://jnk.phb.ac.id/index.php/jnk/article/view/858application, early detection, diabetes miletus, hba1c levels |
| spellingShingle | Agus Priyanto Eko Dian Hadi Suprayitno Andika Santo Suhirman The Correlation of Early Detection Results using Self Detection Application for Diabetes (SEDAB) with Haemoglobin A1C (HBA1C) Levels Jurnal Ners dan Kebidanan application, early detection, diabetes miletus, hba1c levels |
| title | The Correlation of Early Detection Results using Self Detection Application for Diabetes (SEDAB) with Haemoglobin A1C (HBA1C) Levels |
| title_full | The Correlation of Early Detection Results using Self Detection Application for Diabetes (SEDAB) with Haemoglobin A1C (HBA1C) Levels |
| title_fullStr | The Correlation of Early Detection Results using Self Detection Application for Diabetes (SEDAB) with Haemoglobin A1C (HBA1C) Levels |
| title_full_unstemmed | The Correlation of Early Detection Results using Self Detection Application for Diabetes (SEDAB) with Haemoglobin A1C (HBA1C) Levels |
| title_short | The Correlation of Early Detection Results using Self Detection Application for Diabetes (SEDAB) with Haemoglobin A1C (HBA1C) Levels |
| title_sort | correlation of early detection results using self detection application for diabetes sedab with haemoglobin a1c hba1c levels |
| topic | application, early detection, diabetes miletus, hba1c levels |
| url | http://jnk.phb.ac.id/index.php/jnk/article/view/858 |
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