Measuring regional and district variations in the incidence of pregnancy-induced hypertension in Ghana: challenges, opportunities and implications for maternal and newborn health policy and programmes

被引:5
作者
Antwi, Edward [1 ,2 ]
Klipstein-Grobusch, Kerstin [2 ,3 ]
Asare, Gloria Quansah [1 ]
Koram, Kwadwo A. [4 ]
Grobbee, Diederick [2 ]
Agyepong, Irene A. [2 ,5 ]
机构
[1] Ghana Hlth Serv, Accra, Ghana
[2] Univ Med Ctr, Julius Ctr Hlth Sci & Primary Care, Julius Global Hlth, Utrecht, Netherlands
[3] Univ Witwatersrand, Div Epidemiol & Biostat, Johannesburg, South Africa
[4] Univ Ghana, Noguchi Mem Inst Med Res, Coll Hlth Sci, Legon, Ghana
[5] Univ Ghana, Sch Publ Hlth, Coll Hlth Sci, Legon, Ghana
关键词
routine data; decision making; maternal and newborn health; pregnancy-induced hypertension; local area variation; RISK-FACTORS; OBESITY; PREECLAMPSIA; DISEASES;
D O I
10.1111/tmi.12626
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
OBJECTIVES The objectives were to assess the quality of health management information system (HMIS) data needed for assessment of local area variation in pregnancy-induced hypertension (PIH) incidence and to describe district and regional variations in PIH incidence. METHODS A retrospective review of antenatal and delivery records of 2682 pregnant women in 10 district hospitals in the Greater Accra and Upper West regions of Ghana was conducted in 2013. Quality of HMIS data was assessed by completeness of reporting. The incidence of PIH was estimated for each district. RESULTS Key variables for routine assessment of PIH such as blood pressure (BP) at antenatal visits, weight and height were 95-100% complete. Fundal height, gestational age and BP at delivery were not consistently reported. The incidence of PIH differed significantly between Greater Accra region (6.1%) and Upper West region (3.2%). Prevalence of obesity among pregnant women in Greater Accra region (13.9%) was significantly higher than that of women in Upper West region (2.2%). CONCLUSIONS \More attention needs to be given to understanding local area variations in PIH and possible relationships with urbanisation and lifestyle changes that promote obesity, to inform maternal and newborn health policy. This can be done with good quality routine HMIS data.
引用
收藏
页码:93 / 100
页数:8
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