國立虎尾科技大學 |

Priority Setting for Achieving Universal Health Coverage in Nigeria : = A Spatial and Temporal Analysis and Cost-Benefit Analysis.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Priority Setting for Achieving Universal Health Coverage in Nigeria :/
其他題名:	A Spatial and Temporal Analysis and Cost-Benefit Analysis.
作者:	Kawakatsu, Yoshito.
面頁冊數:	1 online resource (63 pages)
附註:	Source: Dissertations Abstracts International, Volume: 85-01, Section: B.
Contained By:	Dissertations Abstracts International85-01B.
標題:	Health sciences. -
電子資源:	click for full text (PQDT)
ISBN:	9798379909437

Priority Setting for Achieving Universal Health Coverage in Nigeria : = A Spatial and Temporal Analysis and Cost-Benefit Analysis.
Kawakatsu, Yoshito.

Priority Setting for Achieving Universal Health Coverage in Nigeria :A Spatial and Temporal Analysis and Cost-Benefit Analysis. - 1 online resource (63 pages)

Source: Dissertations Abstracts International, Volume: 85-01, Section: B.

Thesis (Ph.D.)--University of Washington, 2023.

Includes bibliographical references

Universal Health Coverage (UHC) is an urgent global priority outlined in the Sustainable Development Goals (SDGs) to ensure the accessibility of health services for all people without causing financial hardship. If current progress continues to 2030, 37% to 61% of the global population will not be covered by essential health services. Therefore, we need to accelerate the increase of service coverage to achieve the UHC target by 2030.There are three specific aims of this dissertation; 1) To identify both individual and contextual factors that are consistently associated with utilization of nine essential maternal and child health services (i.e., ANC, facility-based delivery, modern contraceptive use, immunizations, and childhood illnesses), across survey years and household geolocations, using five national representative cross-sectional surveys in Nigeria; 2) To estimate grid-level coverage of selected essential MCH services in Nigeria using generalized additive models (GAMs) and Gradient Boosting (GB) 3) To estimate required costs and avoidable child deaths by increasing selected essential health service coverage in each community, and to identify the priority sub-national areas.This dissertation emphasizes the importance of multi-dimensional priority setting in achieving Universal Health Coverage in Nigeria. By identifying the factors influencing health service utilization, assessing regional disparities, estimating required costs, and quantifying potential impacts, policymakers can make evidence-based decisions to maximize the efficiency and effectiveness of healthcare interventions. The findings and recommendations of this research contribute to the broader global agenda of achieving UHC and improving health outcomes for all populations, particularly in low- and middle-income countries.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379909437Subjects--Topical Terms:

1179212
Health sciences.
Subjects--Index Terms:

Incremental cost effective ratioIndex Terms--Genre/Form:

554714
Electronic books.

Priority Setting for Achieving Universal Health Coverage in Nigeria : = A Spatial and Temporal Analysis and Cost-Benefit Analysis.
LDR:03296ntm a22003977 4500 001 1147426
005 20240918072806.5
006 m o d
007 cr bn ---uuuuu
008 250605s2023 xx obm 000 0 eng d
020 $a 9798379909437
035 $a (MiAaPQ)AAI30526291
035 $a AAI30526291
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Kawakatsu, Yoshito. $3 1473157
245 1 0 $a Priority Setting for Achieving Universal Health Coverage in Nigeria : $b A Spatial and Temporal Analysis and Cost-Benefit Analysis.
264 0 $c 2023
300 $a 1 online resource (63 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 85-01, Section: B.
500 $a Advisor: Sherr, Kenneth.
502 $a Thesis (Ph.D.)--University of Washington, 2023.
504 $a Includes bibliographical references
520 $a Universal Health Coverage (UHC) is an urgent global priority outlined in the Sustainable Development Goals (SDGs) to ensure the accessibility of health services for all people without causing financial hardship. If current progress continues to 2030, 37% to 61% of the global population will not be covered by essential health services. Therefore, we need to accelerate the increase of service coverage to achieve the UHC target by 2030.There are three specific aims of this dissertation; 1) To identify both individual and contextual factors that are consistently associated with utilization of nine essential maternal and child health services (i.e., ANC, facility-based delivery, modern contraceptive use, immunizations, and childhood illnesses), across survey years and household geolocations, using five national representative cross-sectional surveys in Nigeria; 2) To estimate grid-level coverage of selected essential MCH services in Nigeria using generalized additive models (GAMs) and Gradient Boosting (GB) 3) To estimate required costs and avoidable child deaths by increasing selected essential health service coverage in each community, and to identify the priority sub-national areas.This dissertation emphasizes the importance of multi-dimensional priority setting in achieving Universal Health Coverage in Nigeria. By identifying the factors influencing health service utilization, assessing regional disparities, estimating required costs, and quantifying potential impacts, policymakers can make evidence-based decisions to maximize the efficiency and effectiveness of healthcare interventions. The findings and recommendations of this research contribute to the broader global agenda of achieving UHC and improving health outcomes for all populations, particularly in low- and middle-income countries.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Health sciences. $3 1179212
650 4 $a Statistics. $3 556824
650 4 $a Public health. $3 560998
653 $a Incremental cost effective ratio
653 $a Machine learning
653 $a Maternal and child health service
653 $a Small area estimation
653 $a Universal Health Coverage
655 7 $a Electronic books. $2 local $3 554714
690 $a 0573
690 $a 0463
690 $a 0566
710 2 $a University of Washington. $b Global Health. $3 1181284
710 2 $a ProQuest Information and Learning Co. $3 1178819
773 0 $t Dissertations Abstracts International $g 85-01B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30526291 $z click for full text (PQDT)