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Record W3027137979 · doi:10.1186/s40985-020-00128-3

A narrative review of gaps in the provision of integrated care for noncommunicable diseases in India

2020· review· en· W3027137979 on OpenAlexaff
Manoj Kumar Pati, N Swaroop, Arin Kar, Preeti Aggarwal, Krishnamurthy Jayanna, Wim Van Damme

Bibliographic record

VenuePublic health reviews · 2020
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsUniversity of ManitobaManitoba Health
Fundersnot available
KeywordsScope (computer science)MedicineHealth careIdentification (biology)Economic shortageEnvironmental healthGlobal healthPublic healthEconomic growthBusinessNursingGovernment (linguistics)

Abstract

fetched live from OpenAlex

BACKGROUND: Low- and middle-income countries (LMICs) account for a higher burden of noncommunicable diseases (NCD) and home to a higher number of premature deaths (before age 70) from NCDs. NCDs have become an integral part of the global development agenda; hence, the scope of action on NCDs extends beyond just the health-related sustainable development goal (SDG 3). However, the organization and integration of NCD-related health services have faced several gaps in the LMIC regions such as India. Although the national NCD programme of India has been in operation for a decade, challenges remain in the integration of NCD services at primary care. In this paper, we have analysed existing gaps in the organization and integration of NCD services at primary care and suggested plausible solutions that exist. METHOD: The identification of gaps is based out of a review of peer-reviewed articles, reports on national and global guidelines/protocols. The gaps are organized and narrated at four levels such as community, facility, health system, health policy and research, as per the WHO Innovative Care for Chronic Conditions framework (WHO ICCC). RESULT: The review found that challenges in the identification of eligible beneficiaries, shortage and poor capacity of frontline health workers, poor functioning of community groups and poor community knowledge on NCD risk factors were key gaps at the community level. Challenges at facility level such as poor facility infrastructure, lack of provider knowledge on standards of NCD care and below par quality of care led to poor management of NCDs. At the health system level, we found, organization of care, programme management and monitoring systems were not geared up to address NCDs. Multi-sectoral collaboration and coordination were proposed at the policy level to tackle NCDs; however, gaps remained in implementation of such policies. Limited research on the effect of health promotion, prevention and, in particular, non-medical interventions on NCDs was found as a key gap at the research level. CONCLUSION: This paper reinforces the need for an integrated comprehensive model of NCD care especially at primary health care level to address the growing burden of these diseases. This overarching review is quite relevant and useful in organizing NCD care in Indian and similar LMIC settings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.733
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0070.001
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.150
GPT teacher head0.442
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations98
Published2020
Admission routes1
Has abstractyes

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