Evidence map›Paper›PMID 30145980›Full record

ArticleIsrael journal of health policy research2018

Using the capabilities approach to understand inequality in primary health-care services for people with severe mental illness.

Maya Lavie-Ajayi, Galia S Moran, Itzhak Levav, Rotem Porat, Tal Reches, Margalit Goldfracht, Gilad Gal

Open access · goldAbstract read
In one paragraph

Article in Israel journal of health policy research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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 at 4 institutions in 1 country.

Maya Lavie-AjayiThe Israeli Center for Qualitative Research of People and Societies, Ben-Gurion University of the Negev, P.O.B. 653, 8410501, Beer-Sheva, Israel. laviema@bgu.ac.il.
Galia S MoranThe Spitzer Department of Social Work, Ben-Gurion University of the Negev, P.O.B. 653, 8410501, Beer-Sheva, Israel.
Itzhak LevavDepartment of Community Mental Health, University of Haifa, 199 Aba Khoushy Ave, Haifa, Israel.
Rotem PoratThe Israeli Center for Qualitative Research of People and Societies, Ben-Gurion University of the Negev, P.O.B. 653, 8410501, Beer-Sheva, Israel.
Tal RechesThe Israeli Center for Qualitative Research of People and Societies, Ben-Gurion University of the Negev, P.O.B. 653, 8410501, Beer-Sheva, Israel.
Margalit GoldfrachtQuality Improvement Department, Clalit Health Services, Tel Aviv, Israel.
Gilad GalSchool of Behavioral Sciences, Tel Aviv-Yaffo Academic College, Tel Aviv, Israel.
Ben-Gurion University of the Negev · ILAcademic College of Tel Aviv-Yafo · ILClalit Health Services · ILUniversity of Haifa · IL

Funding

Israel National Institute for Health Policy and Health Services Research R/14/2010
6 · The paper itself

Abstract

backgroundEpidemiological studies show disparities in the provision of physical health-care for people with severe mental illness. This observation includes countries with universal health insurance. However, there is limited in-depth data regarding the barriers preventing equality of physical health-care provision for this population. This study applied the capabilities approach to examine the interface between general practitioners and patients with severe mental illness. The capabilities approach provides a framework for health status which conceptualizes the internal and external factors relating to the available options (capabilities) and subsequent health outcomes (functioning).

methodsSemi-structured in-depth interviews were conducted with 10 general practitioners and 15 patients with severe mental illness, and then thematically analyzed.

resultsWe identified factors manifesting across three levels: personal, relational-societal, and organizational. At the personal level, the utilization of physical health services was impaired by the exacerbation of psychiatric symptoms. At the relational level, both patients and physicians described the importance of a long-term and trusting relationship, and provided examples demonstrating the implications of relational ruptures. Finally, two structural-level impediments were described by the physicians: the absence of continuous monitoring of patients with severe mental illness, and the shortfall in psychosocial interventions.

conclusionThe capability approach facilitated the identification of barriers preventing equitable health-care provision for patients with severe mental illness. Based on our findings, we propose a number of practical suggestions to improve physical health-care for this population: 1. A proactive approach in monitoring patients' health status and utilization of services. 2. Acknowledgment of people with severe mental illness as a vulnerable population at risk, that need increased time for physician-patient consultations. 3. Training and support for general practitioners. 4. Increase collaboration between general practitioners and mental-health professionals. 5. Educational programs for health professionals to reduce prejudice against people with severe mental illness.

Indexed as

Health Status DisparitiesAdultDelivery of Health CareFemaleGeneral PractitionersHumansInterviews as TopicMaleMental DisordersMiddle AgedPrimary Health CareCapability approachHealth servicesPrimary health careSevere mental illness

Identifiers

PMID30145980
PMCPMC6109982
OpenAlexW2886189760

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.