Evidence map›Paper›PMID 37579394›Full record

ArticleInternational journal of health policy and management2023

How Did Governments Address the Needs of People With Disabilities During the COVID-19 Pandemic? An Analysis of 14 Countries' Policies Based on the UN Convention on the Rights of Persons With Disabilities.

Keiko Shikako, Raphael Lencucha, Matthew Hunt, Sébastien Jodoin, Mayada Elsabbagh, Anne Hudon, Derrick Cogburn, Ananya Chandra, Anna Gignac-Eddy, Nilani Ananthamoorthy and 1 more

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Article in International journal of health policy and management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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.

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

8 citing papers in PubMed.

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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

11 authors.

Keiko ShikakoSchool of Physical and Occupational Therapy, McGill University, Montreal, QC, Canada.ORCID 0000-0002-4447-5812
Raphael LencuchaSchool of Physical and Occupational Therapy, McGill University, Montreal, QC, Canada.ORCID 0000-0002-9273-2027
Matthew HuntSchool of Physical and Occupational Therapy, McGill University, Montreal, QC, Canada.ORCID 0000-0003-4190-0163
Sébastien JodoinFaculty of Law, McGill University, Montreal, QC, Canada.ORCID 0000-0002-4892-2544
Mayada ElsabbaghMontreal Neurological Institute, McGill University, Montreal, QC, Canada.ORCID 0000-0002-7311-9059
Anne HudonSchool of Rehabiltiation, University of Montreal, Montreal, QC, Canada.ORCID 0000-0001-7259-0343
Derrick CogburnSchool of International Service and Kogod School of Business, American University, Washington, DC, USA.
Ananya ChandraSchool of Physical and Occupational Therapy, McGill University, Montreal, QC, Canada.
Anna Gignac-EddyFaculty of Law, McGill University, Montreal, QC, Canada.
Nilani AnanthamoorthyFaculty of Law, McGill University, Montreal, QC, Canada.
Rachel MartensKids Brain Health Network, CanChild, Calgary, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeople with disabilities have experienced heightened social risks in the context of the pandemic, resulting in higher rates of infection and mortality. They have also borne elevated burdens associated with public health measures. The United Nations Convention on the Rights of Persons with Disabilities (UNCRPD) obliges its 184 state parties to eliminate discrimination and ensure equality and inclusion for persons with disabilities, including protection and safety in situations of emergency. It remains unclear to what extent national COVID-19 policies have aligned with these commitments under the UNCRPD. Our objective in this exploratory study was to assess alignment between the UNCRPD indicators and COVID-19 policies from 14 countries with the goal of informing policy development that is inclusive of persons with disabilities and responsive to rights under the UNCRPD.

methodsWe identified COVID-19 policy documents from 14 purposively selected countries. Country selection considered diversity based on geographic regions and national income levels, with restriction to those countries that had ratified the UNCRPD and had English or French as an official language. We used a computational text mining approach and developed a complex multilevel dictionary or categorization model based on the UNCRPD Bridging the Gap indicators proposed by the Office of the High Commissioner on Human Rights (OHCHR). This dictionary was used to assess the extent to which indicators across the entirety of the UNCRPD were represented in the selected policies. We analyzed frequency of associations with UNCRPD, as well as conducting 'key word in context' analyses to identify themes.

resultsWe identified 764 COVID-19 national policy documents from the period of January 2020 to June 2021. When analyzed in relation to the Articles of the UNCRPD, the most frequently identified were Articles 11 (risk and humanitarian emergencies), 23 (home and family), 24 (education), and 19 (community living). Six countries produced 27 policies that were specifically focused on disability. Common themes within these documents included continuation of services, intersectionality and equity, and disability considerations in regulations and public health measures.

conclusionAnalyzing country policies in light of the UNCRPD offers important insights about how these policies do and do not align with states' commitments. As new policies are developed and existing ones revised, more comprehensive approaches to addressing the rights of persons with disabilities are urgently needed.

Indexed as

COVID-19Persons with DisabilitiesGovernmentHumansPandemicsPolicyUnited NationsCOVID-19DisabilityHuman RightsPolicy

Identifiers

PMID37579394
PMCPMC10425656

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Registered trials

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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.