Evidence map›Paper›PMID 32938612›Full record

Observational studyBMJ global health2020

The impact of demonetisation on the utilisation of hospital services, patient outcomes and finances: a multicentre observational study from India.

Tarun K George, John Victor Peter, Lakshmanan Jeyaseelan, Bijesh Yadav, Shalom Patole, Roshine Mary Koshy, Prabhu Joseph, Balasubramanian P, Aravindan Nair, Anand Zachariah and 3 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

13 authors at 4 institutions in 2 countries.

Tarun K GeorgeGeneral Medicine, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India tarunkg@gmail.com.
John Victor PeterMedical Intensive Care Unit, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India.
Lakshmanan JeyaseelanBiostatistics, Christian Medical College and Hospital Vellore, Vellore, India.
Bijesh YadavBiostatistics, Christian Medical College and Hospital Vellore, Vellore, India.
Shalom PatoleGeneral Medicine, Christian Hospital, Chhatarpur, Madhya Pradesh, India.
Roshine Mary KoshyGeneral Medicine, Makunda Christian Leprosy and General Hospital, Karimganj, Assam, India.
Prabhu JosephOrthopedics, Duncan Hospital, Raxaul, Bihar, India.
Balasubramanian PHospital Management, RUWSEC Hospital Tamil Nadu, Chengalpattu, Tamil Nadu, India.
Aravindan NairGeneral Surgery, Sri Narayani Hospital and Research Centre, Sripuram, Tamil Nadu, India.
Anand ZachariahGeneral Medicine, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India.
Krupa GeorgeGeneral Medicine, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India.
Georgi AbrahamNephrology, Madras Medical Mission, Chennai, Tamil Nadu, India.
Balasubramanian VenkateshDivision of Critical Care, George Institute for Global Health, Sydney, New South Wales, Australia.
Christian Medical College & Hospital · INMadras Medical Mission · INSri Narayani Hospital & Research Centre · INThe George Institute for Global Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study assessed trends in healthcare utilisation in relation to the implementation of an economic policy in India wherein 500 and 1000 rupee notes were demonetised.

methodsIn this ambidirectional observational study of private not-for-profit hospitals, data on hospital outpatient and inpatient numbers, surgeries, emergency department (ED) visits, obstetric admissions and mortality were obtained for pre-demonetisation (September/October 2016), early (November/December 2016) and late demonetisation (January/February 2017), and post-demonetisation periods (March/April 2017) and compared with the control period (2015-2016) from 11 centres (three tertiary hospitals; eight secondary). A Bayesian regression analysis was performed to adjust for seasonal (winter) effect. Monthly financial data, including the proportion of cash versus non-cash transactions, were collected.

findingsOverall, at the pooled all-hospital level, Bayesian analysis showed non-significant increase in outpatients (535.4, 95% CI -7097 to 8116) and decrease in deaths (-6.3 per 1000 inpatients, 95% CI -15.45 to 2.75) and a significant decrease in inpatients (-145.6, 95% CI -286.4 to -10.63) during demonetisation. Analysis at the level of secondary and tertiary hospitals showed a variable effect. For individual hospitals, after adjusting for the seasonal effect, some hospitals observed a significant reduction in outpatient (n=2) and inpatient (n=3) numbers, ED visits (n=4) and mortality (n=2) during demonetisation, while others reported significantly increased outpatient numbers (n=3) and ED visits (n=2). Deliveries remained unchanged during demonetisation in the hospitals that provided the service. There was no significant reduction in hospital incomes during demonetisation. In tertiary hospitals, there was a significant increase in non-cash component of transactions from 35% to 60% (p=0.02) that persisted beyond the demonetisation period.

conclusionsThe effect of demonetisation on healthcare utilisation was variable. Some hospitals witnessed a significant reduction in utilisation in some areas, while others reported increased utilisation. There was an increase in non-cash transactions that persisted beyond the period of demonetisation.

Indexed as

Emergency Service, HospitalHospitalizationBayes TheoremHospitalsHumansIndiahealth economicshealth services researchhospital-based study

Identifiers

PMID32938612
PMCPMC7493109
OpenAlexW3085927392

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

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.