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Record W7082268957 · doi:10.1093/heapol/czaf053

Obituary: Prof. J. Patrick Vaughan, CBE, founding editor of “Health Policy and Planning”

2025· article· en· W7082268957 on OpenAlexaff

Bibliographic record

VenueHealth Policy and Planning · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsInstitute of Health Economics
Fundersnot available
KeywordsMEDLINEGovernment (linguistics)Public policyDeveloping country

Abstract

fetched live from OpenAlex

We are saddened to share the news of the death of Professor J. Patrick Vaughan, CBE, who founded “Health Policy and Planning” and was its first editor, together with Professor Gill Walt. Forty years ago Patrick conceived of this journal, with a specific focus on low- and middle-income countries (LMICs), to meet the “need for an international forum in which issues in health policy and planning, management and evaluation can be openly discussed” (Vaughan et al. 1986: 3). Establishing the journal in 1986, through a joint venture between the London School of Hygiene and Tropical Medicine (LSHTM) and Oxford University Press, reflects Patrick’s vision and prescience. A medical doctor and epidemiologist by training, Patrick realized the importance of multidisciplinary work in understanding health and development issues, and this was from the start an important focus of the journal—indeed until 2014 its strapline was “A Journal on Health in Development.” Patrick was also firm in his belief that the journal should publish a balance of theoretical and practical pieces, as well as support critical appraisals both of existing policies and of dominant methodological approaches. With experience of working within countries across continents, in Papua New Guinea, Tanzania, Bangladesh, and the UK, as well as working with international agencies, he brought a huge breadth of experience to the role of editor and a special commitment to supporting authors from LMICs. As a journal, we have sought to maintain these foundational principles over the years. This journal is itself also an indicator of Patrick’s seminal contribution to LSHTM’s work in the field of what is now called global health. Initially leading the Tropical Epidemiology Unit (now the International Statistics and Epidemiology Group), Patrick went on to establish the Evaluation and Planning Centre for Primary Health Care (EPC). It became a global leader in multidisciplinary research addressing health and health care needs in LMICs that emphasized the importance of building up locally accessible and equitable health services. This journal reflected and sought to support the work of those who, like the EPC, emphasized the centrality of politics, economics, and other social sciences in guiding action to address health problems. It nurtured the development of the evidence base on health policy, services, and systems, to the extent that this is now the strapline of the journal—“The Journal on Health Policy and Systems Research.” Patrick later established the Department, now Faculty, of Public Health and Policy, which remains the LSHTM home of the journal. Beyond research, Patrick was a mentor and friend to many, generous and kind in his approach to leadership and collaboration. He was a role model of engaged scholarship, and supported colleagues and PhD students across the world to develop applied, multidisciplinary health research groups that engaged practically with real-life challenges. His students and mentees have gone on to make seminal contributions to both scholarship and research capacity. As the current co-editors of “Health Policy and Planning” we seek to maintain the legacy of Patrick’s commitments to multidisciplinary, applied health policy and health systems research in LMICs, as we continue to adapt and adjust to a changing world. No ethical approval was required for this study. None declared. No new data were generated or analysed in support of thisresearch.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.040
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.040
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.040
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0020.002
Scholarly communication0.0080.005
Open science0.0030.002
Research integrity0.0050.012
Insufficient payload (model declined to judge)0.0400.036

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 head0.037
GPT teacher head0.364
Teacher spread0.327 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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