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Record W3142005702 · doi:10.1093/ijpp/riab015.056

Evaluation of the first pharmacy-led weight management programme in Greece

2021· article· en· W3142005702 on OpenAlexaboutno aff
Aliki Peletidi, Reem Kayyali

Bibliographic record

VenueInternational Journal of Pharmacy Practice · 2021
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePharmacyWaistAuditBody mass indexPsychological interventionWeight managementObesityFamily medicineEnvironmental healthDemographyOverweightGerontologyNursingInternal medicine

Abstract

fetched live from OpenAlex

Abstract Introduction Obesity is one of the main cardiovascular disease (CVD) risk factors.(1) In primary care, pharmacists are in a unique position to offer weight management (WM) interventions. Greece is the European country with the highest number of pharmacies (84.06 pharmacies per 100,000 citizens).(2) The UK was chosen as a reference country, because of the structured public health services offered, the local knowledge and because it was considered to be the closest country to Greece geographically, unlike Australia and Canada, where there is also evidence confirming the potential role of pharmacists in WM. Aim To design and evaluate a 10-week WM programme offered by trained pharmacists in Patras. Methods This WM programme was a step ahead of other interventions worldwide as apart from the usual measuring parameters (weight, body mass index, waist circumference, blood pressure (BP)) it also offered an AUDIT-C and Mediterranean diet score tests. Results In total,117 individuals participated. Of those, 97.4% (n=114), achieved the programme’s aim, losing at least 5% of their initial weight. The mean % of total weight loss (10th week) was 8.97% (SD2.65), and the t-test showed statistically significant results (P<0.001; 95% CI [8.48, 9.45]). The programme also helped participants to reduce their waist-to-height ratio, an early indicator of the CVD risk in both male (P=0.004) and female (P<0.001) participants. Additionally, it improved participants’ BP, AUDIT-C score and physical activity levels significantly (P<0.001). Conclusion The research is the first systematic effort in Greece to initiate and explore the potential role of pharmacists in public health. The successful results of this WM programme constitute a first step towards the structured incorporation of pharmacists in public’s health promotion. It proposed a model for effectively delivering public health services in Greece. This study adds to the evidence in relation to pharmacists’ CVD role in public health with outcomes that superseded other pharmacy-led WM programmes. It also provides the first evidence that Greek pharmacists have the potential to play an important role within primary healthcare and that after training they are able to provide public health services for both the public’s benefit and their clinical role enhancement. This primary evidence should support the Panhellenic Pharmaceutical Association, to “fight” for their rights for an active role in primary care. In terms of limitations, it must be noted that the participants’ collected data were recorded by pharmacists, and the analysis therefore depended on the accuracy of the recorded data, in particular on the measurements or calculations obtained. Although the sample size was achieved, it can be argued that it is small for the generalisation of findings across Greece. Therefore, the WM programme should be offered in other Greek cities to identify if similar results can be replicated, so as to consolidate the contribution of pharmacists in promoting public health. Additionally, the study was limited as it did not include a control group. Despite the limitations, our findings provide a model for a pharmacy-led public health programme revolving around WM that can be used as a model for services in the future. References 1. Mendis S, Puska P, Norrving B, World Health Organization., World Heart Federation., World Stroke Organization. Global atlas on cardiovascular disease prevention and control [Internet]. Geneva: World Health Organization in collaboration with the World Heart Federation and the World Stroke Organization; 2011 [cited 2018 Jun 26]. 155 p. Available from: http://www.who.int/cardiovascular_diseases/publications/atlas_cvd/en/ 2. Pharmaceutical Group of the European Union. Pharmacy with you throughout life:PGEU Annual Report [Internet]. 2015. Available from: https://www.pgeu.eu/en/library/530:annual-report-2015.html

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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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.890
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.181
GPT teacher head0.490
Teacher spread0.310 · 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.

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

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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Citations3
Published2021
Admission routes1
Has abstractyes

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