Evidence map›Paper›PMID 32070365›Full record

ArticleHealth research policy and systems2020

Is patient-centred care for women a priority for policy-makers? Content analysis of government policies.

Anna R Gagliardi, Sheila Dunn, Angel M Foster, Sherry L Grace, Nazilla Khanlou, Donna E Stewart, Sharon E Straus

Open access · goldAbstract read
In one paragraph

Article in Health research policy and systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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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

7 authors at 5 institutions in 1 country.

Anna R GagliardiToronto General Hospital Research Institute, University Health Network, 200 Elizabeth Street, Toronto, M5G2C4, Canada. anna.gagliardi@uhnresearch.ca.ORCID http://orcid.org/0000-0002-5721-809X
Sheila DunnDepartment of Family and Community Medicine, University of Toronto and Women's College Research Institute, Toronto, M5S1B2, Canada.
Angel M FosterFaculty of Health Sciences, University of Ottawa, Ottawa, K1N6N5, Canada.
Sherry L GraceYork University and University Health Network, Toronto, M3J1P3, Canada.
Nazilla KhanlouYork University, Toronto, M3J1P3, Canada.
Donna E StewartUniversity of Toronto, Toronto General Hospital Research Institute, Toronto, M5G2C4, Canada.
Sharon E StrausKeenan Research Centre of the Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, M5B1W8, Canada.
University Health Network · CAUniversity of Toronto · CASt. Michael's Hospital · CAUniversity of Ottawa · CAYork University · CA

Funding

Ontario Ministry of Health and Long-Term Care 251
6 · The paper itself

Abstract

backgroundConsiderable research shows that women experience gendered disparities in healthcare access and quality. Patient-centred care (PCC) could reduce inequities by addressing the patient's clinical and personal needs. Healthcare policies can influence service delivery to optimise patient outcomes. This study assessed whether and how government policies recognise and promote PCC for women (PCCW).

methodsWe analysed the content of English-language policies published in Canada from 2010 to 2018 on depression and cardiac rehabilitation - conditions featuring known gendered inequities - that were identified on government websites. We extracted data and used summary statistics to enumerate mentions of PCC and women's health.

resultsWe included 30 policies (20 depression, 10 cardiac rehabilitation). Of those, 20 (66.7%) included any content related to PCC (median 1.0, range 0.0 to 5.0), most often exchanging information (14, 46.7%) and making decisions (13, 43.3%). Less frequent domains were enabling self-management (8, 26.7%), addressing emotions (6, 20.0%) and fostering the relationship (4, 13.3%). No policies included content for the domain of managing uncertainty. A higher proportion of cardiac rehabilitation guidelines included PCC content. Among the 30 policies, 7 (23.3%) included content related to at least one women's health domain (median 0.0, range 0.0 to 3.0). Most frequently included were social determinants of health (4, 13.3%). Fewer policies mentioned any issues to consider for women (2, 28.6%), issues specific to subgroups of women (2, 28.6%) or distinguished care for women from men (2, 28.6%). No policies included mention of abuse or violence, or discrimination or stigma. The policies largely pertained to depression. Despite mention of PCC or women's health, policies offered brief, vague guidance on how to achieve PCCW; for example, "Patients value being involved in decision-making" and "Women want care that is collaborative, woman- and family-centered, and culturally sensitive."

conclusionsDespite considerable evidence of need and international recommendations, most policies failed to recognise gendered disparities or promote PCC as a mitigating strategy. These identified gaps represent opportunities by which government policies could be developed or strengthened to support PCCW. Future research should investigate complementary strategies such as equipping policy-makers with the evidence and tools required to develop PCCW-informed policies.

Indexed as

Health PolicyWomen's HealthCanadaCardiac RehabilitationDepressionEmotionsFederal GovernmentFemaleHealth Services AccessibilityHumansPatient-Centered CarePatient ParticipationProfessional-Patient RelationsSocial Determinants of Healthevidence-informed policiesgovernment policyPatient-centred carequalitative content analysiswomen’s health

Identifiers

PMID32070365
PMCPMC7029558
OpenAlexW3008872428

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.