Evidence map›Paper›PMID 33637052›Full record

ArticleBMC ophthalmology2021

Andersen's utilization model for cataract surgical rate and empirical evidence from economically-developing areas.

Senlin Lin, Yingyan Ma, Zhiyuan Hou, Nathan Congdon, Lina Lu, Haidong Zou

Abstract read
In one paragraph

Article in BMC ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Macular changes after cataract surgery.Romanian journal of ophthalmology
    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

6 authors.

Senlin LinShanghai Eye Diseases Prevention & Treatment Center / Shanghai Eye Hospital, No. 380 Kang Ding Road, Shanghai, 200000, China.
Yingyan MaShanghai Eye Diseases Prevention & Treatment Center / Shanghai Eye Hospital, No. 380 Kang Ding Road, Shanghai, 200000, China.
Zhiyuan HouDepartment of Social Medicine, School of Public Health, National Key Laboratory of Health Technology Assessment (National Health and Family Planning Commission), Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, 138 Yi Xue Yuan Road, Shanghai, 200032, China.
Nathan CongdonState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, 54 S. Xianlie Road, Guangzhou, 510060, China. ncongdon1@gmail.com.
Lina LuShanghai Eye Diseases Prevention & Treatment Center / Shanghai Eye Hospital, No. 380 Kang Ding Road, Shanghai, 200000, China. lulina781019@qq.com.
Haidong ZouShanghai Eye Diseases Prevention & Treatment Center / Shanghai Eye Hospital, No. 380 Kang Ding Road, Shanghai, 200000, China. zouhaidong@hotmail.com.

Funding

Chinese National Nature Science Foundation 81670898Foundation of Shanghai Municipal Health Commission 20184Y0217National Natural Science Foundation of China for Young Staff 81800881Shanghai Municipal Commission of Health and Family Planning Grant 201440529Shanghai Sailing Program 17YF1415400The Chronic Diseases Prevention and Treatment Project of Shanghai Shen Kang Hospital Development Centre SHDC12015315; SHDC2015644The Shanghai High-level Oversea Training Team Program on Eye Public Health GWTD2015S08The Shanghai Outstanding Academic Leader Program 16XD1402300The Shanghai Three Year Public Health Action Program GWIV-3·3Ulverscroft Foundation, UK None
6 · The paper itself

Abstract

backgroundUn-operated cataract is the leading cause of vision loss worldwide, responsible for 33% of visual impairment, and half of global blindness. The study aimed to build a fast evaluation method utilizing Andersen's utilization framework and identify predictors of cataract surgical rate in sub-Saharan Africa and China.

methodsThe study was a cross-over ecological epidemiology study with a total of 19 countries in sub-Saharan Africa, and 31 provinces in China. Information was extracted from public data and published studies. Linear regression and structural equation modeling with Bootstrap were used to analyze predictors of CSR and their pathways to impact in sub-Saharan Africa and China separately.

resultsCataract surgical resources in sub-Saharan Africa were linearly correlated with CSR (β = 0.74, 95% CI: 0.09, 0.91), while GDP/P didn't impact cataract surgical resources (β = 0.29, 95% CI: - 0.12, 0.75). In China, residents' average ability to pay was confirmed as the mediator between GDP/P and CSR (p = 0.32, RMSEA = 0.07; β

conclusionsIn sub-Saharan Africa, CSR is determined by health care provision. Local economic development may not directly influence CSR. Therefore, international assistance aimed to providing free cataract surgery directly is crucial. In China, CSR is determined principally by health care demand (ability to pay). To increase CSR in underserved areas of China, ability to pay must be enhanced through social insurance, and reduced surgical fees.

Indexed as

CataractCataract ExtractionOphthalmologyAfrica South of the SaharaBlindnessChinaHumansCataract surgical rateDeveloping countryHealth service utilization

Identifiers

PMID33637052
PMCPMC7908707

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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.