Background: Equity has emerged as a cross-cutting theme in the health sector, and countries across the world are striving to ensure that all people have access to the health services they need without undue financial hardship and educational, social, cultural and geographical barriers. In this context, this analysis has attempted to analyse Nepal's progress in reducing inequalities in reproductive, maternal, newborn and child health services based on economic status and place of residence.Methods: In this analysis, we have used data available from the web version of the Health Equity Assessment Toolkit, a data visualisation tool developed by the World Health Organisation. We have analysed the inequalities in terms of a composite coverage index which combines eight reproductive, maternal, newborn and child health interventions along the continuum of care.Results: Composite coverage of reproductive, maternal, newborn and child health services was 43% in 2001 which increased to 65% in 2016. The absolute difference in composite coverage of the services between the lowest and highest wealth quintiles decreased from 28-percentage points in 2001 to 8-percentage points in 2016. The difference in service coverage between the urban and rural settings reduced from 21-percentage points to six percentage points in the period. Among the eight various services, births attended by skilled birth attendants is the indicator with the highest scope for improvement. Conclusions: Inequalities based on wealth quintiles and residence places have narrowed from 2001 to 2016. Additional efforts in expanding skilled birth attendants and antenatal care service coverage among the poorest quintile and rural residents could further improve the coverage of the indicators at the national level and narrow down the inequalities.Keywords: Health services; inequality; maternal; Nepal; newborn and child health; reproductive health
Background: Common mental disorders such as anxiety and depression among mothers of young children and expectants can silently deteriorate the health of the mother with significant impact on the newborn. The primary aims were to determine the proportion of pregnant women and mothers of children under one year with anxiety and depression and their associated factors in Sindhupalchowk.Methods: We used the Hopkins Symptom Checklist 25 and a structured questionnaire in a cross-sectional study to collect information from 778 women (164 pregnant women, 614 mothers of children under one year) selected through multi-stage sampling. Results: Among pregnant women, the study found that 21.3% (95%CI:15.7–28.3) had anxiety and 23.8% (95%CI:17.8–31.0) had depression. Being from the Dalit ethnic group was independently associated with anxiety and depression. Among mothers of children under one year, 18.7% (95%CI:15.7–22.1) had anxiety and 15.2% (95%CI:12.4–18.4) had depression. Among these women, low education level; primary source of family income being agriculture, animal husbandry or labour; history of unplanned pregnancy; and use of tobacco were independently associated with anxiety and history of unplanned pregnancy and use of tobacco were independently associated with depression.Conclusions: A substantial proportion of women had anxiety and depression with higher odds of anxiety and depression in certain group of women. Targeted health system interventions are needed for improving the psychological well being of women, including pregnant women, as well as newborn health and wellbeing.
Background: Common mental disorders such as anxiety and depression among mothers of young children and expectants can silently deteriorate the health of the mother with significant impact on the newborn. The primary aims were to determine the proportion of pregnant women and mothers of children under one year with anxiety and depression and their associated factors in Sindhupalchowk.Methods: We used the Hopkins Symptom Checklist 25 and a structured questionnaire in a cross-sectional study to collect information from 778 women (164 pregnant women, 614 mothers of children under one year) selected through multi-stage sampling. Results: Among pregnant women, the study found that 21.3%(95%CI:15.7–28.3) had anxiety and 23.8% (95%CI:17.8–31.0) had depression. Being from the Dalit ethnic group was independently associated with anxiety and depression. Among mothers of children under one year, 18.7% (95%CI:15.7–22.1) had anxiety and 15.2% (95%CI:12.4–18.4) had depression. Among these women, low education level; primary source of family income being agriculture, animal husbandry or labour; history of unplanned pregnancy; and use of tobacco were independently associated with anxiety and history of unplanned pregnancy and use of tobacco were independently associated with depression.Conclusions: A substantial proportion of women had anxiety and depression with higher odds of anxiety and depression in certain group of women. Targeted health system interventions are needed for improving the psychological well being of women, including pregnant women, as well as newborn health and wellbeing.Keywords: Anxiety; depression; mothers of children under one year; Nepal; pregnant women.
Background: The burden of non-communicable diseases has increased in the last few decades in low-and middle-income countries including in Nepal. There is limited data on population based prevalence of non-communicable diseases. Hence, this study aims to determine the nationwide prevalence of selected chronic non-communicable diseases in Nepal.Methods: A nationwide cross-sectional population-based study was conducted from 2016 to 2018. Data was collected electronically on android device inbuilt with research and monitoring software from 13200 eligible participants aged 20 years and above. Data was cleaned in SPSS version 20.0 and analyzed using Stata version 13.1.Results: The overall prevalence of selected non-communicable diseases was found to be chronic obstructive pulmonary disease 11.7% (95% CI: 10.5-12.9), diabetes mellitus 8.5% (95% CI: 7.8-9.3), chronic kidney disease 6.0% (95% CI: 5.5-6.6) and coronary artery disease 2.9% (95% CI: 2.4-3.4) in Nepal. Prevalence of non-communicable diseases varied across provinces. Higher prevalence of chronic obstructive pulmonary disease (25.1%, 95% CI: 18.1-33.8) in Karnali Province, diabetes (11.5%, 95% CI: 9.8-13.4) in Province 3, chronic kidney disease (6.8%, 95% CI: 5.6-8.1) in Gandaki Province and coronary artery disease in Gandaki (3.6%, 95% CI: 2.2-5.7) and Sudurpaschim Province (3.6%, 95% CI: 2.1-6.1) was observed.Conclusions: The study reported substantial proportion of adult population was found to have chronic non-communicable diseases in Nepal. The findings of this study may be useful for revising/updating multi-sectoral action plans on prevention and control of non-communicable diseases in Nepal. Keywords: Chronic kidney disease; chronic obstructive pulmonary disease; coronary artery disease; diabetes mellitus; non-communicable disease.
Background A key component of achieving universal health coverage is ensuring that all populations have access to quality health care. Examining where gains have occurred or progress has faltered across and within countries is crucial to guiding decisions and strategies for future improvement. We used the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) to assess personal health-care access and quality with the Healthcare Access and Quality (HAQ) Index for 195 countries and territories, as well as subnational locations in seven countries, from 1990 to 2016. Methods Drawing from established methods and updated estimates from GBD 2016, we used 32 causes from which death should not occur in the presence of effective care to approximate personal health-care access and quality by location and over time. To better isolate potential effects of personal health-care access and quality from underlying risk factor patterns, we risk-standardised cause-specific deaths due to non-cancers by location-year, replacing the local joint exposure of environmental and behavioural risks with the global level of exposure. Supported by the expansion of cancer registry data in GBD 2016, we used mortality-to-incidence ratios for cancers instead of risk-standardised death rates to provide a stronger signal of the effects of personal health care and access on cancer survival. We transformed each cause to a scale of 0-100, with 0 as the first percentile (worst) observed between 1990 and 2016, and 100 as the 99th percentile (best); we set these thresholds at the country level, and then applied them to subnational locations. We applied a principal components analysis to construct the HAQ Index using all scaled cause values, providing an overall score of 0-100 of personal health-care access and quality by location over time. We then compared HAQ Index levels and trends by quintiles on the Socio-demographic Index (SDI), a summary measure of overall development. As derived from the broader GBD study and other data sources, we examined relationships between national HAQ Index scores and potential correlates of performance, such as total health spending per capita. Findings In 2016, HAQ Index performance spanned from a high of 97.1 (95% UI 95.8-98.1) in Iceland, followed by 96.6 (94.9-97.9) in Norway and 96.1 (94.5-97.3) in the Netherlands, to values as low as 18.6 (13.1-24.4) in the Central African Republic, 19.0 (14.3-23.7) in Somalia, and 23.4 (20.2-26.8) in Guinea-Bissau. The pace of progress achieved between 1990 and 2016 varied, with markedly faster improvements occurring between 2000 and 2016 for many countries in sub-Saharan Africa and southeast Asia, whereas several countries in Latin America and elsewhere saw progress stagnate after experiencing considerable advances in the HAQ Index between 1990 and 2000. Striking subnational disparities emerged in personal health-care access and quality, with China and India having particularly large gaps between locations with the highest and lowest scores in 2016. In China, performance ranged from 91.5 (89.1-936) in Beijing to 48.0 (43.4-53.2) in Tibet (a 43.5-point difference), while India saw a 30.8-point disparity, from 64.8 (59.6-68.8) in Goa to 34.0 (30.3-38.1) in Assam. Japan recorded the smallest range in subnational HAQ performance in 2016 (a 4.8-point difference), whereas differences between subnational locations with the highest and lowest HAQ Index values were more than two times as high for the USA and three times as high for England. State-level gaps in the HAQ Index in Mexico somewhat narrowed from 1990 to 2016 (from a 20.9-point to 17.0-point difference), whereas in Brazil, disparities slightly increased across states during this time (a 17.2-point to 20.4-point difference). Performance on the HAQ Index showed strong linkages to overall development, with high and high-middle SDI countries generally having higher scores and faster gains for non-communicable diseases. Nonetheless, countries across the development spectrum saw substantial gains in some key health service areas from 2000 to 2016, most notably vaccine-preventable diseases. Overall, national performance on the HAQ Index was positively associated with higher levels of total health spending per capita, as well as health systems inputs, but these relationships were quite heterogeneous, particularly among low-to-middle SDI countries. Interpretation GBD 2016 provides a more detailed understanding of past success and current challenges in improving personal health-care access and quality worldwide. Despite substantial gains since 2000, many low-SDI and middle-SDI countries face considerable challenges unless heightened policy action and investments focus on advancing access to and quality of health care across key health services, especially non-communicable diseases. Stagnating or minimal improvements experienced by several low-middle to high-middle SDI countries could reflect the complexities of re-orienting both primary and secondary health-care services beyond the more limited foci of the Millennium Development Goals. Alongside initiatives to strengthen public health programmes, the pursuit of universal health coverage upon improving both access and quality worldwide, and thus requires adopting a more comprehensive view and subsequent provision of quality health care for all populations. ; Bill & Melinda Gates Foundation. Barbora de Courten is supported by a National Heart Foundation Future Leader Fellowship (100864). Ai Koyanagi's work is supported by the Miguel Servet contract financed by the CP13/00150 and PI15/00862 projects, integrated into the National R + D + I and funded by the ISCIII —General Branch Evaluation and Promotion of Health Research—and the European Regional Development Fund (ERDF-FEDER). Alberto Ortiz was supported by Spanish Government (Instituto de Salud Carlos III RETIC REDINREN RD16/0019 FEDER funds). Ashish Awasthi acknowledges funding support from Department of Science and Technology, Government of India through INSPIRE Faculty scheme Boris Bikbov has received funding from the European Union's Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement No. 703226. Boris Bikbov acknowledges that work related to this paper has been done on the behalf of the GBD Genitourinary Disease Expert Group. Panniyammakal Jeemon acknowledges support from the clinical and public health intermediate fellowship from the Wellcome Trust and Department of Biotechnology, India Alliance (2015–20). Job F M van Boven was supported by the Department of Clinical Pharmacy & Pharmacology of the University Medical Center Groningen, University of Groningen, Netherlands. Olanrewaju Oladimeji is an African Research Fellow hosted by Human Sciences Research Council (HSRC), South Africa and he also has honorary affiliations with Walter Sisulu University (WSU), Eastern Cape, South Africa and School of Public Health, University of Namibia (UNAM), Namibia. He is indeed grateful for support from HSRC, WSU and UNAM. EUI is supported in part by the South African National Research Foundation (NRF UID: 86003). Ulrich Mueller acknowledges funding by the German National Cohort Study grant No 01ER1511/D, Gabrielle B Britton is supported by Secretaría Nacional de Ciencia, Tecnología e Innovación and Sistema Nacional de Investigación de Panamá. Giuseppe Remuzzi acknowledges that the work related to this paper has been done on behalf of the GBD Genitourinary Disease Expert Group. Behzad Heibati would like to acknowledge Air pollution Research Center, Iran University of Medical Sciences (IUMS), Tehran, Iran. Syed Aljunid acknowledges the National University of Malaysia for providing the approval to participate in this GBD Project. Azeem Majeed and Imperial College London are grateful for support from the Northwest London National Insititute of Health Research (NIHR) Collaboration for Leadership in Applied Health Research & Care. Tambe Ayuk acknowledges the Institute of Medical Research and Medicinal Plant Studies for office space provided. José das Neves was supported in his contribution to this work by a Fellowship from Fundação para a Ciência e a Tecnologia, Portugal (SFRH/BPD/92934/2013). João Fernandes gratefully acknowledges funding from FCT–Fundação para a Ciência e a Tecnologia (grant number UID/Multi/50016/2013). Jan-Walter De Neve was supported by the Alexander von Humboldt Foundation. Kebede Deribe is funded by a Wellcome Trust Intermediate Fellowship in Public Health and Tropical Medicine (201900). Kazem Rahimi was supported by grants from the Oxford Martin School, the NIHR Oxford BRC and the RCUK Global Challenges Research Fund. Laith J Abu-Raddad acknowledges the support of Qatar National Research Fund (NPRP 9-040-3-008) who provided the main funding for generating the data provided to the GBD-IHME effort. Liesl Zuhlke is funded by the national research foundation of South Africa and the Medical Research Council of South Africa. Monica Cortinovis acknowledges that work related to this paper has been done on the behalf of the GBD Genitourinary Disease Expert Group. Chuanhua Yu acknowleges support from the National Natural Science Foundation of China (grant number 81773552 and grant number 81273179) Norberto Perico acknowledges that work related to this paper has been done on behalf of the GBD Genitourinary Disease Expert Group. Charles Shey Wiysonge's work is supported by the South African Medical Research Council and the National Research Foundation of South Africa (grant numbers 106035 and 108571). John J McGrath is supported by grant APP1056929 from the John Cade Fellowship from the National Health and Medical Research Council and the Danish National Research Foundation (Niels Bohr Professorship). Quique Bassat is an ICREA (Catalan Institution for Research and Advanced Studies) research professor at ISGlobal. Richard G White is funded by the UK MRC and the UK Department for International Development (DFID) under the MRC/DFID Concordat agreement that is also part of the EDCTP2 programme supported by the European Union (MR/P002404/1), the Bill & Melinda Gates Foundation (TB Modelling and Analysis Consortium: OPP1084276/OPP1135288, CORTIS: OPP1137034/OPP1151915, Vaccines: OPP1160830), and UNITAID (4214-LSHTM-Sept15; PO 8477-0-600). Rafael Tabarés-Seisdedos was supported in part by grant number PROMETEOII/2015/021 from Generalitat Valenciana and the national grant PI17/00719 from ISCIII-FEDER. Mihajlo Jakovljevic acknowleges contribution from the Serbian Ministry of Education Science and Technological Development of the Republic of Serbia (grant OI 175 014). Shariful Islam is funded by a Senior Fellowship from Institute for Physical Activity and Nutrition, Deakin University and received career transition grants from High Blood Pressure Research Council of Australia. Sonia Saxena is funded by various grants from the NIHR. Stefanos Tyrovolas was supported by the Foundation for Education and European Culture, the Sara Borrell postdoctoral program (reference number CD15/00019 from the Instituto de Salud Carlos III (ISCIII–Spain) and the Fondos Europeo de Desarrollo Regional. Stefanos was awarded with a 6 months visiting fellowship funding at IHME from M-AES (reference no. MV16/00035 from the Instituto de Salud Carlos III). S Vittal Katikreddi was funded by a NHS Research Scotland Senior Clinical Fellowship (SCAF/15/02), the MRC (MC_UU_12017/13 & MC_ UU_12017/15) and the Scottish Government Chief Scientist Office (SPHSU13 & SPHSU15). Traolach S Brugha has received funding from NHS Digital UK to collect data used in this study. The work of Hamid Badali was financially supported by Mazandaran University of Medical Sciences, Sari, Iran. The work of Stefan Lorkowski is funded by the German Federal Ministry of Education and Research (nutriCARD, Grant agreement number 01EA1411A). Mariam Molokhia's research was supported by the National Institute for Health Research (NIHR) Biomedical Research Centre at Guy's and St Thomas' NHS Foundation Trust and King's College London. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. We also thank the countless individuals who have contributed to GBD 2016 in various capacities. ; Peer reviewed