Dataset Information

Forgone care in patients with type 2 diabetes: a cross-sectional study.

ABSTRACT:

Background and objective

Diabetes mellitus is a complex chronic disease requiring appropriate continuous medical care and delayed, or forgone care may exacerbate the severity of the disease. This study aimed to investigate the factors affecting forgone care in patients with type2 diabetes.

Materials and methods

This was a cross-sectional study involving 1139 patients with type 2 diabetes aged> 18 years in 2019 in Tabriz, Iran. The researcher-made questionnaire was used for data collection. Data were analyzed using IBM SPSS software version 22 and IBM AMOS 22. Exploratory Factor Analysis (EFA) was performed for dimension reduction of the questionnaire, and Confirmatory Factor Analysis (CFA) used to verify the result of EFA. We applied the binary logistic regression model to assess the factors affecting forgone care.

Results

Of the 1139 patients, 510 patients (45%) reported forgone care during the last year. The percentage of forgoing care was higher in patients without supplementary insurance coverage (P = 0.01), those with complications (P = 0.01) and those with a history of hospitalization (P = 0.006). The majority of patients (41.5%) reported that the most important reason for forgoing care is financial barriers resulting from disease treatment costs. Of the main four factors affecting, quality of care had the highest impact on forgone care at 61.28 (of 100), followed by accessibility (37.01 of 100), awareness and attitude towards disease (18.52 of 100) and social support (17.22 of 100).

Conclusion

The results showed that, despite the implementation of the Islamic Republic of Iran on a fast-track to beating non-communicable diseases (IraPEN), a considerable number of patients with type2 diabetes had a history of forgoing care, and the most important reasons for forgoing care were related to the financial pressure and dissatisfaction with the quality of care. Therefore, not only more financial support programs should be carried out, but the quality of care should be improved.

SUBMITTER: Jalilian H

PROVIDER: S-EPMC8386068 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundUnderstanding how people with diabetes seek online health information and use health applications is important to ensure these electronic tools are successfully supporting patient self-care. Furthermore, identifying the relationship between patient mobile eHealth literacy (mobile eHL) and diabetes outcomes can have far-reaching utility, for example, in the design of targeted interventions to address mobile eHL limitations. However, only limited studies have explored the impact of mobile eHL in a population with diabetes.ObjectiveThis study aims to present data about online information-seeking behavior and mobile health (mHealth) app usage, investigate the factors related to mobile eHL in Taiwanese patients with type 2 diabetes, and flesh out the relationship between eHealth literacy (eHL), mobile health literacy (mHL), and health outcomes.MethodsSubjects were recruited from January 2017 to December 2017 in the outpatient departments of 3 hospitals in Taiwan. A total of 249 Taiwanese patients with diabetes voluntarily completed a cross-sectional survey assessing sociodemographic characteristics; diabetes status; knowledge and skills of computers, the internet, and mobile apps; mobile eHL; and patient outcomes (self-care behaviors, self-rated health, HbA1c). Structural equation modeling analyses examined the model fit of mobile eHL scores and the interrelationships between latent constructs and observable variables.ResultsOf the 249 patients with diabetes, 67% (164/249) reported they had searched for online diabetes information. The participants with smartphones had owned them for an average of 6.5 years and used them for an average of 4.5 (SD 3.81) hours per day. Only 1.6% (4/249) of the patients used health apps. Some demographic factors affecting mobile eHL included age, education, and duration of type 2 diabetes. Mobile eHL was related to self-care behaviors as well as knowledge and skills of computers, the internet, and mobile technology, but only had a weak, indirect effect on self-rated health. The final model had adequate goodness-of-fit indexes: chi-square (83)=149.572, P<.001; comparative fit index (CFI)=0.925; root mean square of approximation (RMSEA)=0.057 (90% CI 004-006); chi-square/df=1.082. Mobile eHL had a weak, indirect effect on self-rated health through the variables of knowledge with skills.ConclusionsOur study reveals that although people with diabetes who rated their health conditions as moderate were confident in using mobile eHealth and technology, few adopted these tools in their daily lives. The study found that mobile eHL had a direct effect on self-care behavior as well as knowledge and skills of computers, the internet, and mobile technology, and had an indirect effect on health outcomes (glycemic control and self-rated health status). Information about this population's experiences and the role mobile eHL plays in them can spur necessary mobile eHealth patient education.

Project description:Diabetic foot is a serious condition in patients with a long lasting diabetes mellitus. Diabetic foot treated improperly may lead not only to delayed ulceration healing, generalized inflammation, unnecessary surgical intervention, but also to the lower limb amputation. The aim of this study was to compare diabetic foot risk factors in population with type 2 diabetes and risk factors for diabetes in healthy subjects.The study included 900 subjects: 145 with diabetic foot, 293 with type 2 diabetes without diabetic foot and 462 healthy controls matched in terms of mean age, gender structure and cardiovascular diseases absence. Study was conducted in Gastroenterology and Metabolic Diseases Department, Medical University of Warsaw, Poland. In statistical analysis a logistic regression model, U Mann-Whitney's and t-Student test were used.The binomial logit models analysis showed that the risk of diabetic foot in patients with type 2 diabetes was decreased by patient's age (odds ratio [OR] = 0.94; 95% confidence interval [CI]: 0.92-0.96; p = 0.00001) and hyperlipidaemia (OR = 0.54; 95% CI: 0.36-0.81; p = 0.01). In contrast, male gender (OR = 2.83; 95% CI: 1.86-4.28; p = 0.00001) diabetes duration (OR = 1.04; 95% CI: 1.03-1.06; p = 0.0003), weight (OR = 1.04; 95% CI: 1.03-1.06; p = 0.00001), height (OR = 1.08; 95% CI: 1.05-1.11; p = 0.00001) and waist circumference (OR = 1.028; 95% CI: 1.007-1.050; p = 0.006) increase the risk of diabetic foot. The onset of type 2 diabetes in healthy subjects was increased by weight (OR = 1.035; 95% CI: 1.024-1.046; p = 0.00001), WC (OR = 1.075; 95% CI: 1.055-1.096; p = 00001), hip circumference (OR = 1.03; 95% CI: 1.01-1.05; p = 0.005), overweight defined with body mass index (BMI) above 24,9 kg/m(2) (OR = 2.49; 95% CI: 1.77-3.51; p = 0.00001) and hyperlipidaemia (OR = 3.53; 95% CI: 2.57-4.84; p = 0.00001).Risk factors for Type 2 diabetes and diabetic foot are only partially common. Study proved that patients who are prone to developing diabetic foot experience different risk factors than patients who are at risk of diabetes. Identification of relationship between diabetic foot and diabetes risk factors in appropriate groups may help clinicians to focus on certain factors in diabetic foot prevention.

Project description:OBJECTIVES:This study aimed to determine the prevalence of anaemia among patients with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD) at primary care settings and its associated factors. DESIGN, SETTING AND PARTICIPANTS:This cross-sectional study involved 808 adult patients with T2DM and CKD who were recruited via systematic sampling from 20 public primary care clinics in Peninsular Malaysia. Their sociodemographic, clinical and biomedical profiles were collected through interviews, examination of medical records and blood testing. RESULTS:The prevalence of anaemia was 31.7% (256/808). The anaemia was mainly mild (61.5%) and normocytic normochromic (58.7%). About 88.7% of the patients with anaemia were not known to have anaemia prior to the study. Among 36 patients with documented history of anaemia, 80.6% were still anaemic, and only a half received iron therapy. Multivariate regression analysis showed that women (adjusted odd ratio (AOR): 1.57, 95%?CI: 1.12 to 2.21, p=0.009) and those with older age (AOR: 1.04, 95%?CI: 1.01 to 1.06, p<0.001), CKD stage 3a (AOR: 2.47; 95%?CI: 1.25 to 4.87, p=0.009), CKD stage 3b (AOR: 4.36; 95%?CI: 2.14 to 8.85, p<0.001), CKD stage 4 (AOR: 10.12; 95%?CI: 4.36 to 23.47, p<0.001), CKD stage 5 (AOR: 10.80; 95%?CI: 3.32 to 35.11, p<0.001) and foot complication (AOR 3.12, 95%?CI: 1.51 to 6.46, p=0.002) were more likely to have anaemia. Having higher body mass index (AOR 0.95, 95%?CI: 0.92 to 0.99, p=0.012) and higher diastolic blood pressure (AOR 0.97, 95%?CI: 0.95 to 0.99, p<0.001) were associated with lower odds to have anaemia. CONCLUSION:Anaemia among patients with T2DM and CKD in primary care was common, and the majority was unrecognised. Inadequate treatment of anaemia was also prevalent. Therefore, screening of anaemia should be incorporated into the routine assessment of diabetic complications particularly for those with significant associated factors. It is hoped that such strategy could lead to early treatment and hence improve their overall care. TRIAL REGISTRATION NUMBER:NMRR-15-660-24324.

Project description:BackgroundAs the organization of primary care continues to evolve toward more interdisciplinary team structures, demonstrating effectiveness of care delivery is becoming important, particularly for nonphysician providers. Nurses are the most common nonphysician provider within primary care. The purpose of this study was to examine the relation between primary care delivery models that incorporate registered nurses and clinical outcomes of patients with type 2 diabetes.MethodsPatient data from the Canadian Primary Care Sentinel Surveillance Network were matched with survey data from 15 Family Health Team practices in southeastern Ontario. Included patients were adults with type 2 diabetes mellitus who had at least 1 primary care encounter at a Family Health Team practice that completed the organizational survey between Apr. 1, 2013, and Mar. 31, 2014. The clinical outcomes explored included hemoglobin A1c, fasting plasma glucose, blood pressure, low-density lipoprotein cholesterol and urine albumin:creatinine ratio.ResultsOf the 15 practices, 13 (86.7%) had at least 1 registered nurse. The presence of 1 or more registered nurses in the practice was associated with increased odds of patients' having their hemoglobin A1c, fasting plasma glucose, blood pressure and low-density lipoprotein cholesterol values meet recommended targets. Practices with the lowest ratios of patients with diabetes to registered nurse had a significantly greater proportion of patients with hemoglobin A1c and fasting plasma glucose values on target than did practices with the highest ratios of patients to registered nurse (p < 0.01 and p = 0.03, respectively).InterpretationThe findings suggest that registered nurse staffing within primary care practice teams contributes to better diabetic care, as measured by diabetes management indicators. This study sets the groundwork for further exploration of nursing and organizational contributions to patient care in the primary care setting.