Felistus Mwikali Patrick – The Catholic University of Eastern Africa

Wilkins Ndege Muhingi – Jomo Kenyatta University of Agriculture and Technology

Email: elizabethakoth26@gmail.com

Abstract: The reintegration of institutionalized children into family settings remains a critical challenge in contexts marked by socio-economic instability. This study examined the influence of family socio-economic factors on the reintegration of children institutionalized in Catholic Church-run institutions in Lang’ata and Kibra Sub-Counties, Nairobi City County, Kenya. Guided by Attachment Theory and Social Network Theory, the study adopted a convergent parallel design targeting 40 participants, including directors, counselors, social workers, and caregivers, selected through census sampling. Data were collected using questionnaires and interview guides, with quantitative data analyzed using descriptive statistics in SPSS version 26 and qualitative data analyzed thematically. Findings revealed that low income, financial instability, inadequate housing, and high debt significantly hinder reintegration, while job insecurity limits families’ ability to sustainably provide for children. Although education and healthcare were less consistently cited, they remain barriers for disadvantaged families. Stable employment emerged as the most critical enabler of reintegration. Key strategies identified include financial support, vocational training, and family counseling to strengthen resilience and stability. The study recommends enhancing employment opportunities, expanding socio-economic support systems, and designing tailored reintegration programs to improve outcomes for institutionalized children.

Abstract: Although access to telehealth technology has rapidly expanded in developing countries, its potential benefits in improving healthcare are still underutilized. This study sought to investigate the effect of tele treatment on health outcomes of diabetic patients in Nairobi County, Kenya. The study employed a descriptive design. It used a systematic sampling method to collect the required data. Self-administered questionnaires, which contained items that are, both open and closed-ended were used. The data collected was used to illustrate the effect of telemedicine utilization on the health outcomes of diabetic patients. The study mainly targeted diabetic patients in Nairobi City County. The study accomplished its statistical analysis by using the standard statistical program SPSS, and by running simple descriptive analyses to obtain reports on data status and final results. From the study findings, it is concluded that the impact of tele-monitoring on the health outcomes of the diabetic patient can be rated as good as most thought tele-monitoring had positively impacted their lives. The study recommends the need to enhance home monitoring to make patients feel more secure in detecting health problems, the need for training of more endocrinologists and diabetologists to meet the needs of the increasing number of diabetic patients and the need for the government and other stakeholders to have virtual diabetic clinics that defy the boundaries of locations and time.