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Sökning: onr:"swepub:oai:prod.swepub.kib.ki.se:149453914" > Health service util...

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FältnamnIndikatorerMetadata
00005366naa a2201105 4500
001oai:prod.swepub.kib.ki.se:149453914
003SwePub
008240701s2022 | |||||||||||000 ||eng|
024a http://kipublications.ki.se/Default.aspx?queryparsed=id:1494539142 URI
024a https://doi.org/10.1136/bmjgh-2021-0080692 DOI
040 a (SwePub)ki
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Amouzou, A4 aut
2451 0a Health service utilisation during the COVID-19 pandemic in sub-Saharan Africa in 2020: a multicountry empirical assessment with a focus on maternal, newborn and child health services
264 c 2022-05-02
264 1b BMJ,c 2022
520 a There are concerns about the impact of the COVID-19 pandemic on the continuation of essential health services in sub-Saharan Africa. Through the Countdown to 2030 for Women’s, Children’s and Adolescents’ Health country collaborations, analysts from country and global public health institutions and ministries of health assessed the trends in selected services for maternal, newborn and child health, general service utilisation.MethodsMonthly routine health facility data by district for the period 2017–2020 were compiled by 12 country teams and adjusted after extensive quality assessments. Mixed effects linear regressions were used to estimate the size of any change in service utilisation for each month from March to December 2020 and for the whole COVID-19 period in 2020.ResultsThe completeness of reporting of health facilities was high in 2020 (median of 12 countries, 96% national and 91% of districts ≥90%), higher than in the preceding years and extreme outliers were few. The country median reduction in utilisation of nine health services for the whole period March–December 2020 was 3.9% (range: −8.2 to 2.4). The greatest reductions were observed for inpatient admissions (median=−17.0%) and outpatient admissions (median=−7.1%), while antenatal, delivery care and immunisation services generally had smaller reductions (median from −2% to −6%). Eastern African countries had greater reductions than those in West Africa, and rural districts were slightly more affected than urban districts. The greatest drop in services was observed for March–June 2020 for general services, when the response was strongest as measured by a stringency index.ConclusionThe district health facility reports provide a solid basis for trend assessment after extensive data quality assessment and adjustment. Even the modest negative impact on service utilisation observed in most countries will require major efforts, supported by the international partners, to maintain progress towards the SDG health targets by 2030.
700a Maiga, A4 aut
700a Faye, CM4 aut
700a Chakwera, S4 aut
700a Melesse, DY4 aut
700a Mutua, MK4 aut
700a Thiam, S4 aut
700a Abdoulaye, IB4 aut
700a Afagbedzi, SK4 aut
700a Iknane, AA4 aut
700a Ake-Tano, OS4 aut
700a Akinyemi, JO4 aut
700a Alegana, V4 aut
700a Alhassan, Y4 aut
700a Sam, AE4 aut
700a Atweam, DK4 aut
700a Bajaria, S4 aut
700a Bawo, L4 aut
700a Berthe, M4 aut
700a Blanchard, AK4 aut
700a Bouhari, HA4 aut
700a Boulhassane, OMA4 aut
700a Bulawayo, M4 aut
700a Chooye, O4 aut
700a Coulibaly, A4 aut
700a Diabate, M4 aut
700a Diawara, F4 aut
700a Esleman, O4 aut
700a Gajaa, M4 aut
700a Garba, KHA4 aut
700a Getachew, T4 aut
700a Jacobs, C4 aut
700a Jacobs, GP4 aut
700a James, F4 aut
700a Jegede, AS4 aut
700a Joachim, C4 aut
700a Kananura, RM4 aut
700a Karimi, J4 aut
700a Kiarie, H4 aut
700a Kpebo, D4 aut
700a Lankoande, B4 aut
700a Lawanson, AO4 aut
700a Mahamadou, Y4 aut
700a Mahundi, M4 aut
700a Manaye, T4 aut
700a Masanja, H4 aut
700a Millogo, MR4 aut
700a Mohamed, AK4 aut
700a Musukuma, M4 aut
700a Muthee, R4 aut
700a Nabie, D4 aut
700a Nyamhagata, M4 aut
700a Ogwal, J4 aut
700a Orimadegun, A4 aut
700a Ovuoraye, A4 aut
700a Pongathie, AS4 aut
700a Sable, SP4 aut
700a Saydee, GS4 aut
700a Shabini, J4 aut
700a Sikapande, BM4 aut
700a Simba, D4 aut
700a Tadele, A4 aut
700a Tadlle, T4 aut
700a Tarway-Twalla, AK4 aut
700a Tassembedo, M4 aut
700a Tehoungue, BZ4 aut
700a Terera, I4 aut
700a Traore, S4 aut
700a Twalla, MP4 aut
700a Waiswa, Pu Karolinska Institutet4 aut
700a Wondirad, N4 aut
700a Boerma, T4 aut
710a Karolinska Institutet4 org
773t BMJ global healthd : BMJg 7:5q 7:5x 2059-7908
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:149453914
8564 8u https://doi.org/10.1136/bmjgh-2021-008069

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