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Improving Community Health Services in Remote Settings: Papers on Operations Management Approaches to Global Health- [electronic resource]
Improving Community Health Services in Remote Settings: Papers on Operations Management Approaches to Global Health- [electronic resource]
상세정보
- 자료유형
- 학위논문
- Control Number
- 0016934225
- International Standard Book Number
- 9798380141017
- Dewey Decimal Classification Number
- 614
- Main Entry-Personal Name
- Montgomery, Robert John.
- Publication, Distribution, etc. (Imprint
- [S.l.] : The University of Chicago., 2023
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2023
- Physical Description
- 1 online resource(159 p.)
- General Note
- Source: Dissertations Abstracts International, Volume: 85-02, Section: B.
- General Note
- Advisor: Ata, Baris.
- Dissertation Note
- Thesis (Ph.D.)--The University of Chicago, 2023.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Summary, Etc.
- 요약We present Operations Management work on overcoming healthcare delivery challenges in remote settings in two chapters. We begin with work on inventory management of a last-mile supply chain. This work is motivated by the need for a reliable and cost-effective delivery system to resupply new mosquito-repellent technologies to combat malaria in the Lake Tanganyika region of The Democratic Republic of the Congo. The primary delivery methods used around Lake Tanganyika can become inoperable during periods of floods, machinery breakdowns, and armed conflict. To ensure continuous coverage, our model allows for emergency delivery methods, with high variable costs, to be used during outages. In normal operating times, we use a large-capacity fixed-cost delivery method. We model the changes in the operating environment between normal and outage states using a Markov chain with disruption-specific parameters. We use an infinite-horizon discounted objective, which consists of ordering costs and a linear holding cost. We show that a novel hybrid policy is optimal and we provide the means to calculate the policy parameters. Additionally, for managerial considerations, we propose two heuristic policies and show their relative effectiveness through a series of numerical studies.In the second chapter, we present a constrained optimization model to aid in selecting maternal and newborn community health interventions in previously underserved rural and remote populations through Community Health Worker (CHW) programs. The first application of the model is in Dhusamareeb, Somalia, and the surrounding area within the state of Galmudug. After establishing the resource requirements (financial, time, commodity, and policy) for 25 maternal and neonatal interventions with local stakeholders in Somalia, we used the Lives Saved Tool (LiST) to calculate the number of projected lives saved as a function of services delivered. We then used optimization techniques to sort through the feasible combinations of interventions satisfying the resource constraints to determine the package of care that leads to the most projected lives saved in Galmudug. With a cadre of 1,450 Female Health Workers and a budget of $435,000 for health commodities, we calculate that the optimized set of interventions for Galmudug could avert 15 percent of the 4,132 projected maternal and neonatal deaths in 2023. Sensitivity analysis shows how the optimal combination of interventions, and the number of lives saved, change as the constraints and parameters used in the model change. We focus on Somalia for the first application of this model; however, the combination of LiST's database with a simple framework for sourcing data on local health system resources, allows the application to other country health programs. The model provides practitioners with a new tool and accompanying approach to evaluate possible packages of community health interventions with competing resource requirements.
- Subject Added Entry-Topical Term
- Public health.
- Subject Added Entry-Topical Term
- Health care management.
- Index Term-Uncontrolled
- Dynamic programming
- Index Term-Uncontrolled
- Healthcare operations
- Index Term-Uncontrolled
- Integer programming
- Index Term-Uncontrolled
- Inventory management
- Added Entry-Corporate Name
- The University of Chicago Business
- Host Item Entry
- Dissertations Abstracts International. 85-02B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:642804
MARC
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■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a614
■1001 ▼aMontgomery, Robert John.
■24510▼aImproving Community Health Services in Remote Settings: Papers on Operations Management Approaches to Global Health▼h[electronic resource]
■260 ▼a[S.l.]▼bThe University of Chicago. ▼c2023
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2023
■300 ▼a1 online resource(159 p.)
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-02, Section: B.
■500 ▼aAdvisor: Ata, Baris.
■5021 ▼aThesis (Ph.D.)--The University of Chicago, 2023.
■506 ▼aThis item must not be sold to any third party vendors.
■520 ▼aWe present Operations Management work on overcoming healthcare delivery challenges in remote settings in two chapters. We begin with work on inventory management of a last-mile supply chain. This work is motivated by the need for a reliable and cost-effective delivery system to resupply new mosquito-repellent technologies to combat malaria in the Lake Tanganyika region of The Democratic Republic of the Congo. The primary delivery methods used around Lake Tanganyika can become inoperable during periods of floods, machinery breakdowns, and armed conflict. To ensure continuous coverage, our model allows for emergency delivery methods, with high variable costs, to be used during outages. In normal operating times, we use a large-capacity fixed-cost delivery method. We model the changes in the operating environment between normal and outage states using a Markov chain with disruption-specific parameters. We use an infinite-horizon discounted objective, which consists of ordering costs and a linear holding cost. We show that a novel hybrid policy is optimal and we provide the means to calculate the policy parameters. Additionally, for managerial considerations, we propose two heuristic policies and show their relative effectiveness through a series of numerical studies.In the second chapter, we present a constrained optimization model to aid in selecting maternal and newborn community health interventions in previously underserved rural and remote populations through Community Health Worker (CHW) programs. The first application of the model is in Dhusamareeb, Somalia, and the surrounding area within the state of Galmudug. After establishing the resource requirements (financial, time, commodity, and policy) for 25 maternal and neonatal interventions with local stakeholders in Somalia, we used the Lives Saved Tool (LiST) to calculate the number of projected lives saved as a function of services delivered. We then used optimization techniques to sort through the feasible combinations of interventions satisfying the resource constraints to determine the package of care that leads to the most projected lives saved in Galmudug. With a cadre of 1,450 Female Health Workers and a budget of $435,000 for health commodities, we calculate that the optimized set of interventions for Galmudug could avert 15 percent of the 4,132 projected maternal and neonatal deaths in 2023. Sensitivity analysis shows how the optimal combination of interventions, and the number of lives saved, change as the constraints and parameters used in the model change. We focus on Somalia for the first application of this model; however, the combination of LiST's database with a simple framework for sourcing data on local health system resources, allows the application to other country health programs. The model provides practitioners with a new tool and accompanying approach to evaluate possible packages of community health interventions with competing resource requirements.
■590 ▼aSchool code: 0330.
■650 4▼aPublic health.
■650 4▼aHealth care management.
■653 ▼aDynamic programming
■653 ▼aHealthcare operations
■653 ▼aInteger programming
■653 ▼aInventory management
■690 ▼a0796
■690 ▼a0769
■690 ▼a0573
■71020▼aThe University of Chicago▼bBusiness.
■7730 ▼tDissertations Abstracts International▼g85-02B.
■773 ▼tDissertation Abstract International
■790 ▼a0330
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16934225▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202402▼f2024
