A Comprehensive Support Programme Integrating Mental Health Services, Community Support and Climate Adaptation Strategies Enhancing the Well-Being and Stability of Child-Headed Households Using Epworth Community, Zimbabwe, for Reference

The study examines the welfare of child-headed households in the context of climate change in Zimbabwe. The increasing severity of climate change impacts, such as erratic weather patterns and droughts, has exacerbated the vulnerabilities of these families, who are already facing significant challenges due to the absence of adult caregivers. The study aims to identify and analyse the psychosocial challenges faced by child-headed families because of climate change. The study employs the qualitative approach, utilising in-depth interviews with childheaded families, community leaders, and social workers to gain a deep understanding of the psychosocial challenges they face. Findings reveal that climate change-induced environmental stressors significantly affect the mental health and social dynamics of these families, leading to increased anxiety, social isolation, and difficulties in managing household responsibilities. It is concluded that targeted interventions are necessary to address these psychosocial impacts and support the resilience of child-headed families. The study recommends the designing of a comprehensive support programmes that integrate mental health services, community support, and climate adaptation strategies to enhance the well-being and stability of these vulnerable families

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Publication Details

Journal
Kuveza neKuumba The Zimbabwe Ezekiel Guti University Journal of Design Innovative Thinking and Practice
Published
2025-05-23
DOI
https://doi.org/10.71458/y94v6135
Primary Topic
demographic modeling and climate adaptation
Type
article
Field-Weighted Citation Impact
0.00

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article

A Comprehensive Support Programme Integrating Mental Health Services, Community Support and Climate Adaptation Strategies Enhancing the Well-Being and Stability of Child-Headed Households Using Epworth Community, Zimbabwe, for Reference

Tafadzwanashe Magavude
Kuveza neKuumba The Zimbabwe Ezekiel Guti University Journal of Design Innovative Thinking and Practice
demographic modeling and climate adaptation
article

A Comprehensive Support Programme Integrating Mental Health Services, Community Support and Climate Adaptation Strategies Enhancing the Well-Being and Stability of Child-Headed Households Using Epworth Community, Zimbabwe, for Reference

Tafadzwanashe Magavude
article en

Abstract

The study examines the welfare of child-headed households in the context of climate change in Zimbabwe. The increasing severity of climate change impacts, such as erratic weather patterns and droughts, has exacerbated the vulnerabilities of these families, who are already facing significant challenges due to the absence of adult caregivers. The study aims to identify and analyse the psychosocial challenges faced by child-headed families because of climate change. The study employs the qualitative approach, utilising in-depth interviews with childheaded families, community leaders, and social workers to gain a deep understanding of the psychosocial challenges they face. Findings reveal that climate change-induced environmental stressors significantly affect the mental health and social dynamics of these families, leading to increased anxiety, social isolation, and difficulties in managing household responsibilities. It is concluded that targeted interventions are necessary to address these psychosocial impacts and support the resilience of child-headed families. The study recommends the designing of a comprehensive support programmes that integrate mental health services, community support, and climate adaptation strategies to enhance the well-being and stability of these vulnerable families

Kuveza neKuumba The Zimbabwe Ezekiel Guti University Journal of Design Innovative Thinking and Practice
Zimbabwe Ezekiel Guti University (ZW)
National Water Commission, ACT Government
Openalex Percentile: Top 87%
demographic modeling and climate adaptation
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