Patterns and trends of in-hospital mortality due to non-communicable diseases and injuries in Tanzania, 2006-2015.
Journal
PLOS global public health
ISSN: 2767-3375
Titre abrégé: PLOS Glob Public Health
Pays: United States
ID NLM: 9918283779606676
Informations de publication
Date de publication:
2023
2023
Historique:
received:
23
12
2021
accepted:
10
01
2023
medline:
6
7
2023
pubmed:
6
7
2023
entrez:
6
7
2023
Statut:
epublish
Résumé
Globally, non-communicable diseases (NCD) kill about 40 million people annually, with about three-quarters of the deaths occurring in low- and middle-income countries. This study was carried out to determine the patterns, trends, and causes of in-hospital non-communicable disease (NCD) and injury deaths in Tanzania from 2006-2015. This retrospective study involved primary, secondary, tertiary, and specialized hospitals. Death statistics were extracted from inpatient department registers, death registers, and International Classification of Diseases (ICD) report forms. The ICD-10 coding system was used to assign each death to its underlying cause. The analysis determined leading causes by age, sex, annual trend and calculate hospital-based mortality rates. Thirty-nine hospitals were involved in this study. A total of 247,976 deaths (all causes) were reported during the 10-year period. Of the total deaths, 67,711 (27.3%) were due to NCD and injuries. The most (53.4%) affected age group was 15-59 years. Cardio-circulatory diseases (31.9%), cancers (18.6%), chronic respiratory diseases (18.4%), and injuries (17.9%) accounted for the largest proportion (86.8%) of NCD and injuries deaths. The overall 10-year hospital-based age-standardized mortality rate (ASMR) for all NCDs and injuries was 559.9 per 100,000 population. It was higher for males (638.8/100,000) than for females (444.6/100,000). The hospital-based annual ASMR significantly increased from 11.0 in 2006 to 62.8 per 100,000 populations in 2015. There was a substantial increase in hospital-based ASMR due to NCDs and injuries in Tanzania from 2006 to 2015. Most of the deaths affected the productive young adult group. This burden indicates that families, communities, and the nation at large suffer from premature deaths. The government of Tanzania should invest in early detection and timely management of NCDs and injuries to reduce premature deaths. This should go hand-in-hand with continuous efforts to improve the quality of health data and its utilization.
Sections du résumé
BACKGROUND
BACKGROUND
Globally, non-communicable diseases (NCD) kill about 40 million people annually, with about three-quarters of the deaths occurring in low- and middle-income countries. This study was carried out to determine the patterns, trends, and causes of in-hospital non-communicable disease (NCD) and injury deaths in Tanzania from 2006-2015.
METHODS
METHODS
This retrospective study involved primary, secondary, tertiary, and specialized hospitals. Death statistics were extracted from inpatient department registers, death registers, and International Classification of Diseases (ICD) report forms. The ICD-10 coding system was used to assign each death to its underlying cause. The analysis determined leading causes by age, sex, annual trend and calculate hospital-based mortality rates.
RESULTS
RESULTS
Thirty-nine hospitals were involved in this study. A total of 247,976 deaths (all causes) were reported during the 10-year period. Of the total deaths, 67,711 (27.3%) were due to NCD and injuries. The most (53.4%) affected age group was 15-59 years. Cardio-circulatory diseases (31.9%), cancers (18.6%), chronic respiratory diseases (18.4%), and injuries (17.9%) accounted for the largest proportion (86.8%) of NCD and injuries deaths. The overall 10-year hospital-based age-standardized mortality rate (ASMR) for all NCDs and injuries was 559.9 per 100,000 population. It was higher for males (638.8/100,000) than for females (444.6/100,000). The hospital-based annual ASMR significantly increased from 11.0 in 2006 to 62.8 per 100,000 populations in 2015.
CONCLUSIONS
CONCLUSIONS
There was a substantial increase in hospital-based ASMR due to NCDs and injuries in Tanzania from 2006 to 2015. Most of the deaths affected the productive young adult group. This burden indicates that families, communities, and the nation at large suffer from premature deaths. The government of Tanzania should invest in early detection and timely management of NCDs and injuries to reduce premature deaths. This should go hand-in-hand with continuous efforts to improve the quality of health data and its utilization.
Identifiants
pubmed: 37410764
doi: 10.1371/journal.pgph.0000281
pii: PGPH-D-21-01133
pmc: PMC10325076
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e0000281Informations de copyright
Copyright: © 2023 Mboera et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Déclaration de conflit d'intérêts
The authors have declared that no competing interests exist.
Références
Nat Commun. 2018 Nov 26;9(1):4994
pubmed: 30478314
PLoS Med. 2007 Nov 20;4(11):e326
pubmed: 18031195
Bull World Health Organ. 2014 Nov 1;92(11):807-16
pubmed: 25378742
J Am Geriatr Soc. 2014 Aug;62(8):1460-6
pubmed: 25041242
Lancet Neurol. 2010 Aug;9(8):786-92
pubmed: 20609629
JCO Glob Oncol. 2020 Feb;6:224-232
pubmed: 32073912
JAMA. 2012 May 16;307(19):2037-8
pubmed: 22665101
Arch Public Health. 2013 Oct 07;71(1):26
pubmed: 24094276
N Engl J Med. 2013 Oct 3;369(14):1336-43
pubmed: 24088093
J Glob Health. 2019 Dec;9(2):020409
pubmed: 31448113
Int J Epidemiol. 2011 Aug;40(4):885-901
pubmed: 21527446
Scand J Work Environ Health. 2005 Aug;31(4):316-23
pubmed: 16161715
Lancet Glob Health. 2019 Oct;7(10):e1295-e1296
pubmed: 31537347
BMC Public Health. 2019 May 10;19(Suppl 3):479
pubmed: 32326912
Int J Hypertens. 2016;2016:1281384
pubmed: 27525113
Lancet. 2018 Nov 10;392(10159):1736-1788
pubmed: 30496103
BMC Public Health. 2011 Jul 14;11:564
pubmed: 21756350
PLoS One. 2019 Jan 25;14(1):e0211287
pubmed: 30682173
Cancer. 2012 Sep 15;118(18):4372-84
pubmed: 22252462
Cardiovasc J Afr. 2015 Mar-Apr;26(2 Suppl 1):S6-10
pubmed: 25962950
BMJ Nutr Prev Health. 2019 May 17;2(1):20-29
pubmed: 33235953
BMJ Open. 2017 Dec 14;7(12):e017450
pubmed: 29247088
Am J Respir Crit Care Med. 2016 Jul 1;194(1):67-76
pubmed: 26788760
BMC Health Serv Res. 2021 Sep 13;21(Suppl 1):214
pubmed: 34511104
Tanzan J Health Res. 2014 Apr;16(2):89-97
pubmed: 26875302
PLoS One. 2016 Oct 6;11(10):e0164428
pubmed: 27711179
BMJ Open. 2012 Nov 19;2(6):
pubmed: 23166132
Clin Geriatr Med. 1999 May;15(2):211-24
pubmed: 10339629
Kidney Int Rep. 2018 Apr 22;3(4):905-915
pubmed: 29989050
PLoS One. 2019 Feb 8;14(2):e0209756
pubmed: 30735504
Cancer Epidemiol Biomarkers Prev. 2014 Jun;23(6):953-66
pubmed: 24700176
BMJ Open. 2017 Nov 9;7(11):e018829
pubmed: 29127232
Bull World Health Organ. 2009 Apr;87(4):246-246a
pubmed: 19551225
BMC Public Health. 2011 May 23;11:365
pubmed: 21605360
Lancet. 2016 Oct 8;388(10053):1459-1544
pubmed: 27733281
BMC Public Health. 2018 May 2;18(1):584
pubmed: 29720157
Tanzan J Health Res. 2014 Oct;16(4):304-11
pubmed: 26891520
BMC Public Health. 2012 Nov 20;12:1007
pubmed: 23167315
Lancet. 2015 Sep 26;386(10000):1221-1222
pubmed: 26403914
Lancet Glob Health. 2019 Oct;7(10):e1375-e1387
pubmed: 31537368
J Thorac Dis. 2016 Jan;8(1):E31-40
pubmed: 26904251
PLoS Med. 2007 Nov 20;4(11):e327
pubmed: 18031196
PLoS One. 2018 Oct 31;13(10):e0205833
pubmed: 30379899
Lancet Glob Health. 2015 Jan;3(1):e6-7
pubmed: 25539971
Prim Care Respir J. 2011 Sep;20(3):240-8
pubmed: 21509418
BMJ Open. 2017 Oct 22;7(10):e015496
pubmed: 29061601
Lancet Glob Health. 2014 Mar;2(3):e174-81
pubmed: 25102850
J Public Health Res. 2018 Apr 20;7(1):1239
pubmed: 29780764
Popul Health Metr. 2018 Nov 20;16(1):16
pubmed: 30458804
Cien Saude Colet. 2012 Oct;17(10):2627-34
pubmed: 23099750