Back

Determination Of The Routine Self-Care Practices Among Patients With Dmtii In Kitui County.

Musembi, M.; Ramani, R.; Mwenda, C. S.

2023-09-07 endocrinology
10.1101/2023.09.06.23295109 medRxiv
Show abstract

Worldwide, an estimated increase of 642 million patients will have been diagnosed with diabetes mellitus by the year 2035, out of this figure more than 90% will have type 2 diabetes mellitus. In Kenya the burden for the disease is equally on rise, consequently there is huge gap in knowledge deficient among the sick individuals and their families on diabetes management making most patients to present with poor self-care practices especially in rural settings where Resources are scarce. The study aims at developing a family-based intervention model to improve family participation in the management of patients with diabetes mellitus type II at Kitui County. A sample of 68 participants was required to participate in the study. Creating informative resources that highlight the importance of family involvement and provide guidance on DMTII self-care practices. A significant proportion of DMTII patients Out of the total sample size, 28 participants (representing 49.1% of the sample) reported that they monitor their blood sugars on a daily basis. On the other hand, 29 participants (50.9% of the sample) indicated that they do not engage in this practice. These monitoring overall health, reviewing medication plans, adjusting treatment as necessary, and receiving education on diabetes management. These findings emphasize the importance of targeted interventions and education to improve self-care practices among individuals with DMTII and address areas where adherence is lacking. While many individuals exhibit positive self-care behaviors, there are areas that require attention and improvement. Healthcare providers can utilize these findings to develop targeted interventions, patient education programs, and support systems to enhance self-care practices among DMTII patients. By promoting and facilitating optimal self-care activities, healthcare providers can help improve health outcomes and reduce the risk of complications for individuals living with DMTII.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.