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Record W2330687947 · doi:10.1097/gox.0b013e31828e9f51

How Many Work Hours Are Requisite to Publish a Manuscript?

2013· article· en· W2330687947 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePlastic & Reconstructive Surgery Global Open · 2013
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsUniversity of British ColumbiaBC Children's Hospital
Fundersnot available
KeywordsRetrospective cohort studyPublishingPublicationMedicinePromotion (chess)Metric (unit)Medical educationRandomized controlled trialMEDLINEAcademic medicineAlternative medicineFamily medicineSurgeryPolitical scienceEngineeringOperations management

Abstract

fetched live from OpenAlex

Sir: Advances in medicine are driven by propagation of research and dissemination of meaningful results from basic science, clinical, or translational studies. Although a randomized controlled trial has the highest power, this is not the most frequently conducted study method in surgery, as randomized trials are often not feasible due to disease infrequency or an inability to conduct an ethically sound trial. In clinical research, the most prevalent study design is a retrospective case series.1 Quantifying the hours spent on a retrospective study from idea genesis to manuscript publication is an important metric for clinicians, students/trainees, academic departments, and administrators in academic medical centers. It will allow appropriate allocation of funding for research-based activities, including human capital, research infrastructure, academic surgeon compensation, and for promotion/tenure purposes. Currently, there is an absence of a good metric in the literature quantifying the hours that go into publishing a retrospective study. Roland and Kirkpatrick2 alluded to this question in 1975 but did not study it. This study aims to quantify work hours associated with publishing a manuscript with a retrospective study design. METHODS Following approval of University of British Columbia Children’s and Women’s research ethics board (H12-01664), 16 surgeons with 5 or more published retrospective studies identified via PubMed were selected to participate in this study; a survey was designed as the data collection tool. Careful screening for publications with a retrospective study design was identified on PubMed, based on the surgeon’s name. Investigators were given a package with a separate survey data sheet for each individual published manuscript and were asked to estimate the hours spent by each member of the study team (principle investigator, coinvestigator, resident, research assistant, clinical research coordinator, medical student, and others) toward 8 components of the research cycle: study planning, literature review, ethics application, data collection, data analysis, manuscript preparation, manuscript submission, and postsubmission revision for each publication. Surveys returned with insufficient or incomplete data were excluded. Descriptive/summary statistics were used to analyze the data. RESULTS A total of 198 published retrospective studies were identified. Thirteen surgeons returned a total of 171 surveys (81% response rate) published over a 22-year span (1990–2012). The number of contributing authors ranged from 2 to 11, with the number of subjects ranging from 3 to 7071. Results revealed that a median of 177 hours was spent per publication (range, 29–1287). Neither the number of authors nor the number of subjects correlated with the hours spent per publication. The individuals spending the most time per publication were medical students, followed by research assistants and resident trainees (34%, 23%, and 20% of total hours, respectively); Figure 1 graphically depicts these data. The aspect of the research cycle that consumed the most hours was data collection, followed by manuscript preparation and data analysis (23%, 22%, and 13% of total hours, respectively); Figure 2 graphically depicts these data.Fig. 1: Time spent per member of the study team (median hours). Proportion of total time is given in parentheses.Fig. 2: Time spent per component of a published retrospective study (median hours). Proportion of total time is given in parentheses.DISCUSSION Time estimates for publications from start to finish are between 4 and 5 years.2,3 However, there is no published time estimate for the hours of required work during this time. Results of our study suggest that it takes a median of 177 hours (or roughly twenty-two 8-hour days of consecutive work by a single individual) to take a retrospective study from idea genesis to publication; these hours reflect a significant amount of dedication by the study team. Interestingly, the number of authors and study subjects did not seem to correlate with the total hours required to publish a manuscript. One possible explanation is that the number of data points collected as part of the chart review can greatly alter the time requirement, and this was not examined in our study. In addition, databases with preentered patient information could have been used for studies with large number of patients, thereby decreasing the amount of time needed for data collection. We recognize that a major limitation of our study is the presence of recall bias. This confounding variable is inherent to all retrospective survey-based study designs. Interestingly, several articles have consistently shown that people underestimate the duration of past tasks.4,5 A more accurate way to study the question at hand would be to use a prospective design. However, given that there is an average time lapse of 4–5 years before a project is published and the uncertainty in publication success, a prospective study design may not be either the most effective or efficient study method. Nonetheless, we hope that the results of this study pave the way for future investigations in this subject to inform the various stakeholders as to the time commitment necessary to ultimately publish surgical scientific research. DISCLOSURE The authors have no financial interest to declare in relation to the content of this article. The Article Processing Charge was paid for by the authors. Diana Song, BSc Faculty of Medicine University of British Columbia Vancouver, BC Nasim Abedi, MD Sheina Macadam, MD, MS Jugpal S. Arneja, MD, MBA Division of Plastic Surgery British Columbia Children’s Hospital and University of British Columbia Vancouver, BC

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.

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)0.001
metaresearch head score (Gemma)0.092
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.092
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.102
GPT teacher head0.346
Teacher spread0.244 · 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