Evidence map›Paper›PMID 23144335›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Modeling return on investment for an electronic medical record system in Lilongwe, Malawi.

Julia Driessen, Marco Cioffi, Noor Alide, Zach Landis-Lewis, Gervase Gamadzi, Oliver Jintha Gadabu, Gerald Douglas

Registry-linked trialAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04283929 (Evaluation of the Clinical Impacts and Costs of eHealth in Rwanda Using Innovative Frameworks and Local Capacity Building), which is not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04283929 naunknown statusnot on this map

Evaluation of the Clinical Impacts and Costs of eHealth in Rwanda Using Innovative Frameworks and Local Capacity Building

TypeinterventionalSponsorNational University, RwandaRan2018 to 2020Enrolled112ConditionsHIV/AIDS and Infections, Electronic Medical Records, Clinical Decision Support SystemArmsExperimental: Intervention 1 (Int1), Experimental: Intervention 2 (Int2), Experimental: Intervention 3 (Int3)
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Return on investment: a practical calculation tool to convince your institution.European journal of hospital pharmacy : science and practice · 2020
    Article
  8. Article
  9. Article
  10. Assessing Perceived Challenges to Laboratory Testing at a Malawian Referral Hospital.The American journal of tropical medicine and hygiene · 2016
    Article
  11. Article
  12. Article
  13. Using electronic health records to save money.Journal of the American Medical Informatics Association : JAMIA · 2013
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Julia DriessenDepartment of Health Policy & Management, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA. driessen@pitt.edu
Marco Cioffi
Noor Alide
Zach Landis-Lewis
Gervase Gamadzi
Oliver Jintha Gadabu
Gerald Douglas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo model the financial effects of implementing a hospital-wide electronic medical record (EMR) system in a tertiary facility in Malawi. MATERIALS AND

methodsWe evaluated three areas of impact: length of stay, transcription time, and laboratory use. We collected data on expenditures in these categories under the paper-based (pre-EMR) system, and then estimated reductions in each category based on findings from EMR systems in the USA and backed by ambulatory data from low-income settings. We compared these potential savings accrued over a period of 5 years with the costs of implementing the touchscreen point-of-care EMR system at that site.

resultsEstimated cost savings in length of stay, transcription time, and laboratory use totaled US$284 395 annually. When compared with the costs of installing and sustaining the EMR system, there is a net financial gain by the third year of operation. Over 5 years the estimated net benefit was US$613 681. DISCUSSION: Despite considering only three categories of savings, this analysis demonstrates the potential financial benefits of EMR systems in low-income settings. The results are robust to higher discount rates, and a net benefit is realized even under more conservative assumptions.

conclusionsThis model demonstrates that financial benefits could be realized with an EMR system in a low-income setting. Further studies will examine these and other categories in greater detail, study the financial effects at different levels of organization, and benefit from post-implementation data. This model will be further improved by substituting its assumptions for evidence as we conduct more detailed studies.

Indexed as

Cost SavingsEconomics, HospitalModels, EconomicDeveloping CountriesHospital AdministrationHumansInvestmentsLength of StayMalawiMedical Records Systems, ComputerizedCost SavingsEconomicsElectronic Medical RecordsLow-Income PopulationMalawi

Identifiers

PMID23144335
PMCPMC3721156

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.