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1.
J Diabetes Metab Disord ; 20(2): 1269-1279, 2021 Dec.
Article in English | MEDLINE | ID: mdl-34900778

ABSTRACT

PURPOSE: We aimed to ascertain diabetic self-management predictors in the family care team chronic care model, and to analyze the factors associated with glycemic control. METHODS: A cross-sectional study was conducted with type 2 diabetes mellitus (T2DM) patients at Pak Phun Municipality Hospital, Thailand, from 2019 to 2020. The 282 participants' compraised 16 health care providers, 128 healthy volunteers, and 138 T2DM patients. Data were collected using a questionnaire. The statistics were descriptive, association and multiple regression were tested. RESULTS: Of the T2DM patients, 68.1% were female, overweight (body mass index 25.8 ± 3.99 kg/m2), had diabetic periods of 8.2 ± 4.65 y, high fasting plasma glucose (FPG) (139.3 ± 44.59 mg/dL), uncontrolled A1C (7.8 ± 1.57%), and presented with diabetic nephropathy (61.6%). Diabetic self-management was at a high level (76.8%). The factors significantly associated with A1C were income (p < 0.001), low-density lipoprotein (p < 0.05) estimated glomerular filtration rate, and FPG (p < 0.001). A1C was predicted by self-efficacy (SE) (38.0%; p < 0.001), social support (SO) (40.8%; p < 0.001), health providers evaluated by the Assessment of Chronic Illness Care (ACIC) (22.8%; p < 0.001), and patients' perception by Patient Assessment of Care for Chronic Conditions (PACIC) (17%; p < 0.01). CONCLUSION: In order to reduce diabetes complications, the family care team played a critical role. Self-efficacy and social support were important factors in managing diabetes. The chronic care model begins with a procedure of self-management support and intervention by stakeholders such as caregivers in the community.

2.
J Prim Care Community Health ; 12: 21501327211013298, 2021.
Article in English | MEDLINE | ID: mdl-33966515

ABSTRACT

BACKGROUND: Risk assessment criteria for predicting dengue outbreak must be appropriated at village levels. We aimed to develop risk dengue village prediction criteria, predict village dengue risk, and strengthen dengue prevention based on community participation. METHODS: This participatory research conducted in Southern Thailand included the following 5 phases: (i) preparing communities in 3 districts; (ii) developing risk dengue village prediction criteria; (iii) applying computer program; (iv) predicting village dengue risk with 75 public health providers in 39 PCUs; and (v) utilizing findings to strengthen dengue prevention activities in 220 villages. Data collecting for prediction used secondary data from primary care units in the past 5 year and current year. Descriptive statistics used calculating criteria and comparing with standard level to adjust score of risk. RESULTS: Risk dengue village assessment criteria had 2 aspects: dengue severity (3 factors) and dengue outbreak opportunity (3 factors). Total scores were 33 points and cut-off of 17 points for high and low dengue risks villages. All criteria were applied using computer program (http://surat.denguelim.com). Risk prediction involved stakeholder participation in 220 villages, and used for strengthening dengue prevention activities. The concept of integrated vector management included larval indices surveillance system, garbage management, larval indices level lower than the standard, community capacity activities for dengue prevention, and school-based dengue prevention. The risk prediction criteria and process mobilized villages for dengue prevention activities to decrease morbidity rate. CONCLUSION: Dengue risk assessment criteria were appropriated within the village, with its smallest unit, the household, included. The data can be utilized at village levels for evaluating dengue outbreak risks.


Subject(s)
Dengue , Community Participation , Dengue/epidemiology , Dengue/prevention & control , Health Services Research , Humans , Risk Assessment , Thailand/epidemiology
3.
Sci Rep ; 5: 10749, 2015 Jun 02.
Article in English | MEDLINE | ID: mdl-26035061

ABSTRACT

Dispersion or dilution of stool by water from heavy rainfall may affect Strongyloides stercoralis free-living development producing infective filariform larvae (FL). This study examined effect of water dilution of stool on survival of S. stercoralis free-living development. One g of stool was prepared in water so that its soluble component was diluted sequentially from 1:2 to 1:480. Three dishes were used to compare FL production in three culture conditions: stool suspension, stool sediment deposited in soil, and isolated rhabditiform larvae (RhL) deposited in soil. The fourth dish was for developmental observation of RhL into free-living stages. Numerous FL were generated from undiluted or 1:2 diluted stool and stool sediment placed on soil. However, starting from dilution 1:5, FL production continuously decreased in both stool suspensions and stool sediments placed on soil. RhL isolated from stool dilutions placed on soil gave rise to few FL. Worm mating were seen at 24-30 hours in dilutions 1:20-1:120 only. Highest numbers of FL from indirect free-living cycle were 1/3 of those from control. FL production decreased as stool dilution increased, and reached zero production at 1:160 dilution. Rainfall may disperse or dilute stool so that nutritional supplement for S. stercoralis free-living development is insufficient.


Subject(s)
Feces/parasitology , Strongyloides stercoralis/physiology , Strongyloidiasis/parasitology , Strongyloidiasis/transmission , Animals , Larva/growth & development , Life Cycle Stages , Strongyloides stercoralis/growth & development
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