Evidence map›Paper›PMID 29104767›Full record

ReviewBMJ global health2017

Monitoring Sustainable Development Goal 3: how ready are the health information systems in low-income and middle-income countries?

Juliet Nabyonga-Orem

Abstract readReview
In one paragraph

Review in BMJ global health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

1 author.

Juliet Nabyonga-OremInter-Country Support Team for Eastern &Southern Africa; Health systems and services cluster, World Health Organisation, Harare, Zimbabwe.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Sustainable Development Goals (SDGs) present a broader scope and take a holistic multisectoral approach to development as opposed to the Millennium Development Goals (MDGs). While keeping the health MDG agenda, SDG3 embraces the growing challenge of non-communicable diseases and their risk factors. The broader scope of the SDG agenda, the need for a multisectoral approach and the emphasis on equity present monitoring challenges to health information systems of low-income and middle-income countries. The narrow scope and weaknesses in existing information systems, a multiplicity of data collection systems designed along disease programme and the lack of capacity for data analysis are among the limitations to be addressed. On the other hand, strong leadership and a comprehensive and longer-term approach to strengthening a unified health information system are beneficial. Strengthening country capacity to monitor SDGs will involve several actions: domestication of the SDG agenda through country-level planning and monitoring frameworks, prioritisation of interventions, indicators and setting country-specific targets. Equity stratifiers should be country specific in addressing policy concerns. The scope of existing information systems should be broadened in line with the SDG agenda monitoring requirements and strengthened to produce reliable data in a timely manner and capacity for data analysis and use of data built. Harnessing all available opportunities, emphasis should be on strengthening health sector as opposed to SDG3 monitoring. In this regard, information systems in related sectors and the private sector should be strengthened and data sharing institutionalised. Data are primarily needed to inform planning and decision-making beyond SGD3 reporting requirements.

Indexed as

monitoring Health information systemssustainable development goalsuniversal health coverage

Identifiers

PMID29104767
PMCPMC5663251

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.