A Retrospective Combination Health Outcomes Study among Diabetic Patients with Chronic Kidney Disease: A Multi-Level Study Article Swipe
Pirin Nichachotesalid
,
Nantiya Watthayu
,
Siriorn Sindhu
,
Chukiat Viwatwongkasem
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48048/tis.2022.3223
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.48048/tis.2022.3223
Diabetes is the prominent cause of the progression of chronic kidney diseases (CKD) worldwide. Effective implementation of healthcare services and healthcare delivery system to control glycemic level and slow annually declining eGFR remain a challenge in many countries including Thailand. The aims of this study were to investigate the association between individual and health service delivery factors on the combination health outcomes. This multi-level study applied case-control method was conducted. The 397 participants were recruited from 11 hospitals during December 2018 to May 2019 in Thailand. The samples were categorized into 4-group combination health outcome. Data analysis was performed by descriptive analysis and multi-level multinomial logistic regression analysis. The multinomial logistic regression in bivariate analysis showed that diabetes self-care activities score were more likely to control glycemic and CKD progression compared with those with a low-level of DSCA (OR 3.47; 95 % CI: 1.19 - 10.15). The rational drug uses (RDU) as the health service-level factors increased combination health outcomes 2 times (OR 2.41; 95 % CI: 1.05 - 5.53). The multi-level analysis found that performing with high-level of DSCA (OR 5.36; 95 % CI :1.99 - 14.46) and rational drug uses of metformin and NSAIDs (OR 2.33; 95 % CI: 1.25 - 4.36) increased probability to achieve combination health outcomes. Findings highlight the importance of diabetes self-care activities and health service delivery system to optimize the combination health outcomes among diabetic patients with CKD. HIGHLIGHTS The glycemic control and slow kidney disease progression could decrease diabetic complications The challenges of complicate diseases management involved patient-level and health service-level factors The high-level of DSCA showed the significant association with glycemic control and slow kidney disease progression This study encourages professional nurses promote the model of care that appropriate for individual person who had the difference of age, BMI and self-care activities level GRAPHICAL ABSTRACT
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.48048/tis.2022.3223
- https://tis.wu.ac.th/index.php/tis/article/download/3223/201
- OA Status
- diamond
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4220852944
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4220852944Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48048/tis.2022.3223Digital Object Identifier
- Title
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A Retrospective Combination Health Outcomes Study among Diabetic Patients with Chronic Kidney Disease: A Multi-Level StudyWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
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2022-03-15Full publication date if available
- Authors
-
Pirin Nichachotesalid, Nantiya Watthayu, Siriorn Sindhu, Chukiat ViwatwongkasemList of authors in order
- Landing page
-
https://doi.org/10.48048/tis.2022.3223Publisher landing page
- PDF URL
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https://tis.wu.ac.th/index.php/tis/article/download/3223/201Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
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https://tis.wu.ac.th/index.php/tis/article/download/3223/201Direct OA link when available
- Concepts
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Medicine, Glycemic, Multinomial logistic regression, Logistic regression, Type 2 diabetes, Kidney disease, Environmental health, Diabetes mellitus, Health care, Internal medicine, Family medicine, Endocrinology, Machine learning, Computer science, Economic growth, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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46Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.95 | 140, 164, 182, 198 |
| abstract_inverted_index.CI | 184 |
| abstract_inverted_index.as | 151 |
| abstract_inverted_index.by | 99 |
| abstract_inverted_index.in | 35, 84, 112 |
| abstract_inverted_index.is | 1 |
| abstract_inverted_index.of | 5, 8, 16, 42, 136, 178, 192, 215, 251, 263, 285, 296 |
| abstract_inverted_index.on | 57 |
| abstract_inverted_index.to | 23, 46, 81, 124, 206, 224 |
| abstract_inverted_index.(OR | 138, 162, 180, 196 |
| abstract_inverted_index.397 | 71 |
| abstract_inverted_index.BMI | 298 |
| abstract_inverted_index.CI: | 142, 166, 200 |
| abstract_inverted_index.CKD | 128 |
| abstract_inverted_index.May | 82 |
| abstract_inverted_index.The | 40, 70, 86, 108, 146, 170, 237, 249, 261 |
| abstract_inverted_index.and | 19, 27, 52, 102, 127, 188, 194, 219, 240, 257, 272, 299 |
| abstract_inverted_index.for | 289 |
| abstract_inverted_index.had | 293 |
| abstract_inverted_index.the | 2, 6, 48, 58, 152, 213, 226, 266, 283, 294 |
| abstract_inverted_index.was | 68, 97 |
| abstract_inverted_index.who | 292 |
| abstract_inverted_index.1.05 | 167 |
| abstract_inverted_index.1.19 | 143 |
| abstract_inverted_index.1.25 | 201 |
| abstract_inverted_index.2018 | 80 |
| abstract_inverted_index.2019 | 83 |
| abstract_inverted_index.DSCA | 137, 179, 264 |
| abstract_inverted_index.Data | 95 |
| abstract_inverted_index.This | 62, 277 |
| abstract_inverted_index.age, | 297 |
| abstract_inverted_index.aims | 41 |
| abstract_inverted_index.care | 286 |
| abstract_inverted_index.drug | 148, 190 |
| abstract_inverted_index.eGFR | 31 |
| abstract_inverted_index.from | 75 |
| abstract_inverted_index.into | 90 |
| abstract_inverted_index.many | 36 |
| abstract_inverted_index.more | 122 |
| abstract_inverted_index.slow | 28, 241, 273 |
| abstract_inverted_index.that | 116, 174, 287 |
| abstract_inverted_index.this | 43 |
| abstract_inverted_index.uses | 149, 191 |
| abstract_inverted_index.were | 45, 73, 88, 121 |
| abstract_inverted_index.with | 131, 133, 176, 233, 269 |
| abstract_inverted_index.(CKD) | 12 |
| abstract_inverted_index.(RDU) | 150 |
| abstract_inverted_index.2.33; | 197 |
| abstract_inverted_index.2.41; | 163 |
| abstract_inverted_index.3.47; | 139 |
| abstract_inverted_index.4.36) | 203 |
| abstract_inverted_index.5.36; | 181 |
| abstract_inverted_index.:1.99 | 185 |
| abstract_inverted_index.among | 230 |
| abstract_inverted_index.cause | 4 |
| abstract_inverted_index.could | 245 |
| abstract_inverted_index.found | 173 |
| abstract_inverted_index.level | 26 |
| abstract_inverted_index.model | 284 |
| abstract_inverted_index.score | 120 |
| abstract_inverted_index.study | 44, 64, 278 |
| abstract_inverted_index.those | 132 |
| abstract_inverted_index.times | 161 |
| abstract_inverted_index.
 | 236, 303 |
| abstract_inverted_index.14.46) | 187 |
| abstract_inverted_index.5.53). | 169 |
| abstract_inverted_index.NSAIDs | 195 |
| abstract_inverted_index.during | 78 |
| abstract_inverted_index.health | 53, 60, 93, 153, 158, 209, 220, 228, 258 |
| abstract_inverted_index.kidney | 10, 242, 274 |
| abstract_inverted_index.likely | 123 |
| abstract_inverted_index.method | 67 |
| abstract_inverted_index.nurses | 281 |
| abstract_inverted_index.person | 291 |
| abstract_inverted_index.remain | 32 |
| abstract_inverted_index.showed | 115, 265 |
| abstract_inverted_index.system | 22, 223 |
| abstract_inverted_index.10.15). | 145 |
| abstract_inverted_index.4-group | 91 |
| abstract_inverted_index.achieve | 207 |
| abstract_inverted_index.applied | 65 |
| abstract_inverted_index.between | 50 |
| abstract_inverted_index.chronic | 9 |
| abstract_inverted_index.control | 24, 125, 239, 271 |
| abstract_inverted_index.disease | 243, 275 |
| abstract_inverted_index.factors | 56, 155 |
| abstract_inverted_index.promote | 282 |
| abstract_inverted_index.samples | 87 |
| abstract_inverted_index.service | 54, 221 |
| abstract_inverted_index.ABSTRACT | 305 |
| abstract_inverted_index.December | 79 |
| abstract_inverted_index.Diabetes | 0 |
| abstract_inverted_index.Findings | 211 |
| abstract_inverted_index.analysis | 96, 101, 114, 172 |
| abstract_inverted_index.annually | 29 |
| abstract_inverted_index.compared | 130 |
| abstract_inverted_index.decrease | 246 |
| abstract_inverted_index.delivery | 21, 55, 222 |
| abstract_inverted_index.diabetes | 117, 216 |
| abstract_inverted_index.diabetic | 231, 247 |
| abstract_inverted_index.diseases | 11, 253 |
| abstract_inverted_index.glycemic | 25, 126, 238, 270 |
| abstract_inverted_index.involved | 255 |
| abstract_inverted_index.logistic | 105, 110 |
| abstract_inverted_index.optimize | 225 |
| abstract_inverted_index.outcome. | 94 |
| abstract_inverted_index.outcomes | 159, 229 |
| abstract_inverted_index.patients | 232 |
| abstract_inverted_index.rational | 147, 189 |
| abstract_inverted_index.services | 18 |
| abstract_inverted_index.Effective | 14 |
| abstract_inverted_index.GRAPHICAL | 304 |
| abstract_inverted_index.Thailand. | 39, 85 |
| abstract_inverted_index.analysis. | 107 |
| abstract_inverted_index.bivariate | 113 |
| abstract_inverted_index.challenge | 34 |
| abstract_inverted_index.countries | 37 |
| abstract_inverted_index.declining | 30 |
| abstract_inverted_index.highlight | 212 |
| abstract_inverted_index.hospitals | 77 |
| abstract_inverted_index.including | 38 |
| abstract_inverted_index.increased | 156, 204 |
| abstract_inverted_index.low-level | 135 |
| abstract_inverted_index.metformin | 193 |
| abstract_inverted_index.outcomes. | 61, 210 |
| abstract_inverted_index.performed | 98 |
| abstract_inverted_index.prominent | 3 |
| abstract_inverted_index.recruited | 74 |
| abstract_inverted_index.self-care | 118, 217, 300 |
| abstract_inverted_index.CKD.
 | 234 |
| abstract_inverted_index.activities | 119, 218, 301 |
| abstract_inverted_index.challenges | 250 |
| abstract_inverted_index.complicate | 252 |
| abstract_inverted_index.conducted. | 69 |
| abstract_inverted_index.difference | 295 |
| abstract_inverted_index.encourages | 279 |
| abstract_inverted_index.healthcare | 17, 20 |
| abstract_inverted_index.high-level | 177, 262 |
| abstract_inverted_index.importance | 214 |
| abstract_inverted_index.individual | 51, 290 |
| abstract_inverted_index.management | 254 |
| abstract_inverted_index.performing | 175 |
| abstract_inverted_index.regression | 106, 111 |
| abstract_inverted_index.worldwide. | 13 |
| abstract_inverted_index.appropriate | 288 |
| abstract_inverted_index.association | 49, 268 |
| abstract_inverted_index.categorized | 89 |
| abstract_inverted_index.combination | 59, 92, 157, 208, 227 |
| abstract_inverted_index.descriptive | 100 |
| abstract_inverted_index.investigate | 47 |
| abstract_inverted_index.level
 | 302 |
| abstract_inverted_index.multi-level | 63, 103, 171 |
| abstract_inverted_index.multinomial | 104, 109 |
| abstract_inverted_index.probability | 205 |
| abstract_inverted_index.progression | 7, 129, 244 |
| abstract_inverted_index.significant | 267 |
| abstract_inverted_index.case-control | 66 |
| abstract_inverted_index.participants | 72 |
| abstract_inverted_index.professional | 280 |
| abstract_inverted_index.factors
 | 260 |
| abstract_inverted_index.patient-level | 256 |
| abstract_inverted_index.service-level | 154, 259 |
| abstract_inverted_index.implementation | 15 |
| abstract_inverted_index.HIGHLIGHTS
 | 235 |
| abstract_inverted_index.progression
 | 276 |
| abstract_inverted_index.complications
 | 248 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.03378148 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |