Evidence map›Paper›PMID 34674309›Full record

ArticleThe International journal of health planning and management2022

Probability and amount of medicines expenditure according to health insurance status in Kenya: A household survey in eight counties.

Veronika J Wirtz, Edson Servan-Mori, John Mungai, John Mboya, Peter C Rockers, Monica A Onyango, Zana Wangari Kiragu, Richard Laing

Abstract read
In one paragraph

Article in The International journal of health planning and management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Veronika J WirtzDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-0863-8768
Edson Servan-MoriCenter for Health Systems Research, National Institute of Public Health, Cuernavaca, Mexico.ORCID https://orcid.org/0000-0001-9820-8325
John MungaiInnovation for Poverty Action, Nairobi, Kenya.
John MboyaInnovation for Poverty Action, Nairobi, Kenya.
Peter C RockersDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Monica A OnyangoDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Zana Wangari KiraguDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Richard LaingDepartment of Global Health, Boston University School of Public Health, Boston, Massachusetts, USA.

Funding

Sandoz International GmbH
6 · The paper itself

Abstract

backgroundNational and county governments in Kenya have introduced various health insurance schemes to protect households against financial hardship as a result of large health expenditure. This study examines the relationship between health insurance and medicine expenditure in eight counties in Kenya.

methodsA cross-sectional study of collected primary data via household survey in eight counties was performed. Three measures of medicine expenditure were analysed: the probability of any out-of-pocket expenditure (OOPE) on medicines in the last 4 weeks; amount of OOPE on medicines; and OOPE on medicines as a proportion of total OOPE on health.

resultsOut of the 452 individuals, those with health insurance (n = 225) were significantly different from individuals without health insurance (n = 227): overall, they were older, had a higher level of educational attainment and possessed more assets. Adjusting for covariates, individuals with health insurance had a reduced probability of OOPE on medicines (0.40, CI95% 0.197-0.827) and spent proportionally less on medicines out of total health expenditure (0.50, CI95% 0.301-0.926).

conclusionsKenya has made great strides to scale up Universal Health Coverage including access to medicines. Prioritising enrollment of low-income individuals with non-communicable diseases can accelerate access to medicines and financial protection.

Indexed as

Health ExpendituresInsurance, HealthCross-Sectional StudiesHumansKenyaProbabilityhealth insuranceKenyamedicines expenditureuniversal health coverage

Identifiers

PMID34674309
PMCPMC9298347

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.