Evaluating the medical direct costs associated with prematurity during the initial hospitalization in Rwanda: a prevalence based cost of illness study.

Anaclet Ngabonzima, Domina Asingizwe, David Cechetto, Gisele Mukunde, Alain Nyalihama, Mathias Gakwerere, David Mark Epstein
Author Information
  1. Anaclet Ngabonzima: JSI Research & Training Institute, Inc, Washington, DC, USA. ngabanac2@gmail.com. ORCID
  2. Domina Asingizwe: College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
  3. David Cechetto: Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada.
  4. Gisele Mukunde: Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada.
  5. Alain Nyalihama: PIVOT Works Inc, Ranomafana, Madagascar.
  6. Mathias Gakwerere: United Nations Population Fund (UNFPA), Kigali, Rwanda.
  7. David Mark Epstein: University of Granada, Granada, Spain.

Abstract

BACKGROUND: PREMATURITY is still the leading cause of global neonatal mortality, Rwanda included, even though advanced medical technology has improved survival. Initial hospitalization of premature babies (PBs) is associated with high costs which have an impact on Rwanda's health budget. In Rwanda, these costs are not known, while knowing them would allow better planning, hence the purpose and motivation for this research.
METHODS: This was a prospective cost of illness study using a prevalence approach conducted in 5 hospitals (University Teaching Hospital of Butare, Gisenyi, Masaka, Muhima, and Ruhengeri). It included PBs admitted from June to July 2021 followed up prospectively to determine the medical direct costs (MDC) by enumerating the cost of all inputs. Descriptive analyses and ordinary least squares regression were used to illustrate factors associated with and predictive of mean cost. The significance level was set at p < 0.05.
RESULTS: A total of 123 PBs were included. Very preterm and moderate PBs were 36.6% and 23.6% respectively and the average birth weight (BW) was 1724 g (SD: 408.1 g). The overall mean MDC was $237.7 per PB (SD: $294.9) representing 28% of Gross Domestic Product (GDP) per capita per year. Costs per PB varied with weight category, PREMATURITY degree, hospital level, and length of stay (LoS) among other variables. MDC was dominated by drugs and supplies (65%) with oxygen being an influential driver of MDC accounting for 38.4% of total MDC. Birth weight, oxygen therapy, and hospital level were significant MDC predictive factors.
CONCLUSION: This study provides an in-depth understanding of MDC of initial hospitalization of PBs in Rwanda. It also indicates predictive factors, including birth weight, which can be managed through measures to prevent or delay preterm birth.
IMPLICATION FOR PREMATURITY PREVENTION AND MANAGEMENT: The results suggest a need to revise the benefits and entitlements of insured people to include drugs and interventions not covered that are essential and where there are no alternatives. Having oxygen plants in hospitals may reduce oxygen-related costs. Furthermore, interventions to reduce PREMATURITY should be evaluated using cost-effectiveness analysis since its overall burden is high.

Keywords

References

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MeSH Term

Birth Weight
Cost of Illness
Cost-Benefit Analysis
Female
Hospitalization
Humans
Infant
Infant, Newborn
Infant, Premature, Diseases
Oxygen
Premature Birth
Prevalence
Prospective Studies
Rwanda
Uganda

Chemicals

Oxygen

Word Cloud

Created with Highcharts 10.0.0MDCPBscostscostbirthweightperRwandaincludedmedicalhospitalizationassociatedstudydirectfactorspredictivelevelprematurityoxygenPrematurityhighillnessusingprevalencehospitalsmeantotalpreterm6%SD:overallPBhospitaldrugsinitialinterventionsreduceBACKGROUND:stillleadingcauseglobalneonatalmortalityeventhoughadvancedtechnologyimprovedsurvivalInitialprematurebabiesimpactRwanda'shealthbudgetknownknowingallowbetterplanninghencepurposemotivationresearchMETHODS:prospectiveapproachconducted5UniversityTeachingHospitalButareGisenyiMasakaMuhimaRuhengeriadmittedJuneJuly2021followedprospectivelydetermineenumeratinginputsDescriptiveanalysesordinaryleastsquaresregressionusedillustratesignificancesetp < 005RESULTS:123moderate3623respectivelyaverageBW1724 g4081g$2377$2949representing28%GrossDomesticProductGDPcapitayearCostsvariedcategorydegreelengthstayLoSamongvariablesdominatedsupplies65%influentialdriveraccounting384%BirththerapysignificantCONCLUSION:providesin-depthunderstandingalsoindicatesincludingcanmanagedmeasurespreventdelayIMPLICATIONFORPREMATURITYPREVENTIONANDMANAGEMENT:resultssuggestneedrevisebenefitsentitlementsinsuredpeopleincludecoveredessentialalternativesplantsmayoxygen-relatedFurthermoreevaluatedcost-effectivenessanalysissinceburdenEvaluatingRwanda:basedMedicalPreterm

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