Introduction: Non-communicable diseases (NCDs) are a rapidly emerging global health challenge with multi-level determinants popularly known as social determinants. The objective of this paper is to describe the individual and community experiences of NCDs in the two case districts of Nepal from a social determinants of health perspective.

Method: This study adopted qualitative study design to identify the experiences of NCDs. Sixty-three interviews were conducted with key informants from different sectors pertinent to NCD prevention at two case districts and at the policy level in Nepal. Twelve focus group discussions were conducted in the selected communities within those case districts. Data collection and analysis were informed by the adapted Social Determinants of Health Framework. The research team utilised the framework approach to carry out the thematic analysis. The study also involved three sense-making workshops with policy level and local stakeholders.

Results: Three key themes emerged during the analysis. The first theme highlighted that individuals and communities were experiencing the rising burden of NCDs and metabolic risks in both urban and rural areas. The other two themes elaborated on the participant's experiences based on their socio-economic background and gender. Disadvantaged populations were more vulnerable to the risk of NCDs. Further, being female put one into an even more disadvantaged position in experiencing NCD risks and accessing health services.

Conclusion: The findings indicated that key social determinants such as age, geographical location, socio-economic status and gender were driving the NCD epidemic. There is an urgent need to take action on social determinants of health through multi-sectoral action, thus also translating the spirit of the recommendations made a decade ago by the Commission on Social Determinants of Health in addressing a complex challenge like NCDs in Nepal.

Download full-text PDF

Source
http://dx.doi.org/10.1177/17579759211001718DOI Listing

Publication Analysis

Top Keywords

social determinants
24
case districts
16
determinants health
16
individual community
8
rising burden
8
non-communicable diseases
8
districts nepal
8
experiences ncds
8
policy level
8
determinants
7

Similar Publications

Objectives: Social media platforms like Facebook, X (formally Twitter), and Instagram bridge pathology programs with other health professionals, prospective students, and the public, but the extent of social media usage by residency programs remains unexplored. This study investigates the current landscape of social media utilization by pathology programs.

Methods: Using the National Resident Matching Program (NRMP) Match Data from 2022, 139 anatomic and clinical pathology residency programs were analyzed and categorized into 3 prestige tiers based on Doximity ratings.

View Article and Find Full Text PDF

An Enmeshed Family System? Jean Piaget as a Designated Therapist in 1920.

Integr Psychol Behav Sci

January 2025

Centre Jean Piaget, Université de Genève, Geneva, Switzerland.

Over the past century, numerous studies have examined Jean Piaget's relationship with psychoanalysis. Until the 1970s, they often emphasized the value of a rapprochement between Piaget and Freud and highlighted the use of Piaget's ideas in therapeutic practice. Then from the 1980s onwards, several studies focused on the relationship between his work-seen as purely cognitive, to the exclusion of the social and the affective-and his conflicted relationship with his mother.

View Article and Find Full Text PDF

Introduction: In France, over 90% of people living with HIV-1 (PLWH) achieve virological suppression with effective combination of antiretroviral therapies (ART), but limited data exist on the motivation for switching ART.

Objective: To describe the reasons and determinants for switching ART, with a particular focus on doravirine-based regimens, in routine clinical practice in France.

Design: This analysis of cross-sectional baseline data is part of the DoraVIH study, a French, multicenter (15 sites), two-step observational cohort study that includes prospective follow-up for a subset of participants.

View Article and Find Full Text PDF

Background: Reentry veterans experience many barriers to achieving physical and psychological well-being. While peer specialists can provide important support to veterans as they readjust to life post-incarceration, their specific activities and qualities most valued by veterans are not well known. The Post-Incarceration Engagement (PIE) intervention, coordinated with VA's Health Care for Reentry Veterans (HCRV) program, links reentry veterans with a peer specialist who provides connection to services and social-emotional support during the reentry process.

View Article and Find Full Text PDF

The Impact of Artificial Intelligence and Machine Learning in Organ Retrieval and Transplantation: A Comprehensive Review.

Curr Res Transl Med

January 2025

Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, United Kingdom; Faculty of Medicine, Health and Social Care, Canterbury Christ Church University, United Kingdom.

This narrative review examines the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in organ retrieval and transplantation. AI and ML technologies enhance donor-recipient matching by integrating and analyzing complex datasets encompassing clinical, genetic, and demographic information, leading to more precise organ allocation and improved transplant success rates. In surgical planning, AI-driven image analysis automates organ segmentation, identifies critical anatomical features, and predicts surgical outcomes, aiding pre-operative planning and reducing intraoperative risks.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!