RESUMO
BACKGROUND: Gender-based violence is a major public health concern arising from the structural discrimination of women and girls. In 2014, Ecuador criminalized acts of femicide in response to a growing crisis across the region. As no epidemiological studies on the state of female homicides and femicides have been published, we estimated patterns of female homicides and femicides nationally and the burden through economic cost per years of life lost, between 2001 and 2017. METHODS: Using aggregated data from the National Institute of Census and Statistics and police records we estimated the annual mortality rates, cumulative incidence and prevalence odds ratios for female homicides and femicides, from 2001 to 2017. The impact of aggressions, assaults and violence on years of life lost due to premature mortality was estimated using the Human Capital method. RESULTS: Over the period, at least 3236 cases of female homicides and femicides were reported. The highest murder rate occurred in the province of Sucumbíos (6.5 per 100,000) and in the Putumayo canton (12.5 per 100,000). The most common way to murder their victims was using firearms (38%). The highest odds ratio was estimated for women aged between 25 and 29, at 4.5 (3.9-5.1), of primary school attainment at 17.2 (14.6-20.3) and of Afro-Ecuadoran descent 18.1 (10.5-30.9). Female homicide-related costs reached, on average, $35 million per year and more than $500 million lost from 2001 to 2017. CONCLUSIONS: The high rates, distribution and cost indicate that investments are urgently needed to address the structural causes and reduce the impact of female homicides and femicides in Ecuador; thereby protecting the livelihood and well-being of their women and girls.
Assuntos
Vítimas de Crime , Violência de Gênero , Adulto , Equador/epidemiologia , Feminino , Homicídio , Humanos , ViolênciaRESUMO
Defined as the co-occurrence of more than two chronic conditions, multi-morbidity has been described as a significant health care problem: a trend linked to a rise in non-communicable disease and an ageing population. Evidence on the experiences of living with multi-morbidity in middle-income countries (MICs) is limited. In high-income countries (HICs), multi-morbidity has a complex impact on health outcomes, including functional status, disability and quality of life, complexity of health care and burden of treatment. Previous evidence also shows that multi-morbidity is consistently higher amongst women. This study aimed to explore the perceptions and experiences of women living with multi-morbidity in the Greater Accra Region, Ghana: to understand the complexity of their health needs due to multi-morbidity, and to document how the health system has responded. Guided by the Cumulative Complexity Model, and using stratified purposive sampling, 20 in-depth interviews were conducted between May and September 2015 across three polyclinics in the Greater Accra Region. The data were analysed using the six phases of Thematic Analysis. Overall four themes emerged: 1) the influences on patients' health experience; 2) seeking care and the responsiveness of the health care system; 3) how patients manage health care demands; and 4) outcomes due to health. Spirituality and the stigmatization caused by specific conditions, such as HIV, impacted their overall health experience. Women depended on the care and treatment provided through the health care system despite inconsistent coverage and a lack of choice thereof, although their experiences varied by chronic condition. Women depended on their family and community to offset the financial burden of treatment costs, which was exacerbated by having many conditions. The implications are that integrated health and social support, such as streamlining procedures and professional training on managing complexity, would benefit and reduce the burden of multi-morbidity experienced by women with multi-morbidity in Ghana.
Assuntos
Países em Desenvolvimento/estatística & dados numéricos , Modelos Estatísticos , Multimorbidade , Adulto , Atitude Frente a Saúde , Cuidadores , Efeitos Psicossociais da Doença , Feminino , Gana , Acessibilidade aos Serviços de Saúde , Humanos , Morbidade , Aceitação pelo Paciente de Cuidados de Saúde , Pesquisa Qualitativa , Apoio SocialRESUMO
Estimation of maternal mortality ratio (MMR) in humanitarian settings ('settings of conflict, displacement and natural disaster') is challenging, particularly where communities have dissolved and geographical areas are inaccessible. During humanitarian events, the reproduction of maternal mortality figures by the media is common, and are often based on inaccurate reports. In light of such uncertainties and challenges, the aim of this article was to review and appraise the methodology and data collection tools used to measure MMR in humanitarian settings. A critical review of both grey and peer-review publications was conducted, focussing on articles published from January 1995 until December 2016. In the final review, articles that provided an estimate of MMR from a humanitarian setting were included. The assessment of study quality was based on an adapted framework for the quality of mortality studies in humanitarian settings. Overall, 13 peer-review publications and one grey publication were included in the final review. These were grouped according to settings: camp, clinic, household and census. Studies varied in their definition of MMR, and few studies objectively defined the humanitarian setting. Household-based studies were based on retrospective designs and on the recall of surviving family members. Although many studies attempted to purposively sample the populations afflicted, there was substantial evidence of selection bias; few studies were able to confirm the maternal deaths through medical certificates, or attempted to visit homes to re-inquire about deaths using verbal autopsy. The variation in methods and tools applied suggest that maternal mortality estimates are more likely to be markedly different from the true unknown level. The implications are that a standardized methodology and tools are necessary: that are consistent in definition, use a representative sample where possible, attempt to triangulate and validate data sources, and reconfirm deaths through household visits with informant interviews.