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Enregistrement W2776903372 · doi:10.1016/s2214-109x(17)30501-6

Social franchising: whatever happened to old-fashioned notions of evidence-based practice?

2017· letter· en· W2776903372 sur OpenAlexaff
Zubia Mumtaz

Notice bibliographique

RevueThe Lancet Global Health · 2017
Typeletter
Langueen
DomaineMedicine
ThématiqueGlobal Maternal and Child Health
Établissements canadiensUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésHealth careSocial determinants of healthPopularityAgency (philosophy)Economic growthPolitical scienceBusinessSociologyEconomicsSocial scienceLaw

Résumé

récupéré en direct d'OpenAlex

Social franchising, which draws on principles of commercial franchising for achieving socially beneficial ends, is based on the premise that organising private sector health-care providers under a standardised, branded set of services will improve the quality and accessibility of services. The popularity of the idea can be gauged by its rapid growth worldwide: the number of social franchises have doubled every 4 years since 1994, and, by 2015, more than 90 such programmes existed in 40 low-income and middle-income countries. Major donors—USAID, UKAID, the Bill & Melinda Gates Foundation, and the Norwegian Agency for Development Cooperation (NORAD)—have invested millions of dollars in these franchises in low-income and middle-income countries.1Viswanathan R Behl R Seefeld CA Clinical Social Franchising Compendium: an annual survey of programs: findings from 2015. The Global Health Group, Global Health Sciences, University of California, San Francisco, San Francisco, CA2016Google Scholar The Article2Tougher S Dutt V Pereira S et al.Effect of a multifaceted social franchising model on quality and coverage of maternal, newborn, and reproductive health-care services in Uttar Pradesh, India: a quasi-experimental study.Lancet Glob Health. 2017; (published online Dec 20.)http://dx.doi.org/10.1016/S2214-109X(17)30454-0Summary Full Text Full Text PDF PubMed Scopus (17) Google Scholar by Sarah Tougher and colleagues in The Lancet Global Health, however, should give us reason to pause. These investigators show, with rigorous quasi-experimental methods, that the Matrika Social Franchise Model—a multifaceted intervention aimed at strengthening the private sector to improve coverage and quality of maternal, newborn, and reproductive health services in Uttar Pradesh, India—did not have any measurable effect on the outcomes under study. Facility births increased by an insignificant 4 percentage points (95% CI −1 to 9; p=0·100) and no measureable changes were documented in 14 summary indices of health-care use, content, quality, patient experiences, or financial strain. These findings should not be a surprise. 24 published studies, most assessed in three reviews,3Beyeler N York De La Cruz A Montagu D The impact of clinical social franchising on health services in low- and middle-income countries: a systematic review.PLoS One. 2013; 8: e60669Crossref PubMed Scopus (43) Google Scholar, 4Nijmeijer KJ Fabbricotti IN Huijsman R Is franchising in health care valuable? A systematic review.Health Policy Plan. 2014; 29: 164-176Crossref PubMed Scopus (16) Google Scholar, 5Montagu D Goodman C Prohibit, constrain, encourage, or purchase: how should we engage with the private health-care sector?.Lancet. 2016; 388: 613-621Summary Full Text Full Text PDF PubMed Scopus (77) Google Scholar have failed to provide any evidence of a positive impact of social franchises on population health. Most of these studies show that, while franchising increased client volume and satisfaction in some contexts, it did not necessarily improve quality of care, cost-effectiveness, or equity.3Beyeler N York De La Cruz A Montagu D The impact of clinical social franchising on health services in low- and middle-income countries: a systematic review.PLoS One. 2013; 8: e60669Crossref PubMed Scopus (43) Google Scholar, 4Nijmeijer KJ Fabbricotti IN Huijsman R Is franchising in health care valuable? A systematic review.Health Policy Plan. 2014; 29: 164-176Crossref PubMed Scopus (16) Google Scholar, 5Montagu D Goodman C Prohibit, constrain, encourage, or purchase: how should we engage with the private health-care sector?.Lancet. 2016; 388: 613-621Summary Full Text Full Text PDF PubMed Scopus (77) Google Scholar However, the quality of most of these studies was rated poor and none were found to meet the inclusion criteria for a Cochrane review, despite these criteria being broad.6Koehlmoos TP Gazi R Hossain SS Zaman K The effect of social franchising on access to and quality of health services in low- and middle-income countries.Cochrane Database Syst Rev. 2009; 1 (CD007136.)Crossref Scopus (24) Google Scholar The only exception was a social franchising and health-care workforce expansion programme in Myanmar that increased the treatment of diarrhoeal illnesses with oral rehydration solution containing zinc.7Aung T Montagu D Su Su Khin H et al.Impact of a social franchising program on uptake of oral rehydration solution plus zinc for childhood diarrhea in myanmar: a community-level randomized controlled trial.J Trop Pediatr. 2014; 60: 189-197Crossref PubMed Scopus (13) Google Scholar Therefore, Tougher and colleagues' study2Tougher S Dutt V Pereira S et al.Effect of a multifaceted social franchising model on quality and coverage of maternal, newborn, and reproductive health-care services in Uttar Pradesh, India: a quasi-experimental study.Lancet Glob Health. 2017; (published online Dec 20.)http://dx.doi.org/10.1016/S2214-109X(17)30454-0Summary Full Text Full Text PDF PubMed Scopus (17) Google Scholar is an important contribution. It is one of few rigorous studies that used a quasi-experimental design, had a large study population, and was independent of the funders. More importantly, and perhaps inadvertently, the study has shed light on more fundamental questions: why has social franchising as a model expanded at an exponential rate when there was little rigorous evidence of the model's impact on population health? Why have millions of dollars, often taxpayer money, been poured into an unproven idea? Why is there a paucity of rigorous research in documenting effectiveness of this heavily invested idea? Perhaps the last question might be the easiest to answer. A reading of the published and grey literature suggests that the dearth of evidence might be a consequence of the funders and their expectations. A compendium1Viswanathan R Behl R Seefeld CA Clinical Social Franchising Compendium: an annual survey of programs: findings from 2015. The Global Health Group, Global Health Sciences, University of California, San Francisco, San Francisco, CA2016Google Scholar on social franchises shows that all franchises have been or are funded by bilateral donors or private donors. To the best of my knowledge, no social franchise exists in which a local, for-profit franchisor leads the initiative, as is often the case with commercial franchises. Nor could I identify any social franchises funded by a research funding organisation. The remit of major bilateral donors is to provide services that will directly improve the health of recipient populations. They are not in the business of research. Consequently, most donors limit their data collection activities to before and after surveys under the rubric of evaluation. They tend to be averse to funding data collection from control sites where their programme was not implemented. Additionally, bilateral donors, as custodians of taxpayer money, operate in environments characterised by structural disincentives to acknowledge when programme efforts are not achieving their intended results.8Mumtaz Z Ferguson A Bhatti A Salway S Learning from failure? Political expediency, evidence, and inaction.Soc Sci Med. 2017; (published online May 17.)DOI:10.1016/j.socscimed.2017.05.032Crossref PubMed Scopus (4) Google Scholar Notwithstanding calls for embedded operations research in programmes, most funders' and implementers' desire for rigorous research is limited.9Third Global Symposium on Health Systems ResearchCape Town Statement from the Third Global Symposium on Health Systems Research.http://www.healthsystemsglobal.org/upload/other/Cape-Town-Statement.pdfDate: October 3, 2014Google Scholar Even monitoring and evaluation reports are often aimed at meeting donor or implementer expectations that the programmes are doing well.10Hodgins S Quissell K Meeting report on empty scale-up, with follow-up actions.https://www.healthynewbornnetwork.org/hnn-content/uploads/Empty-Scale-up-Meeting-Report.pdfDate: 10 May 2016Google Scholar Anything less is assumed to reflect poorly on donor judgment and implementer expertise.8Mumtaz Z Ferguson A Bhatti A Salway S Learning from failure? Political expediency, evidence, and inaction.Soc Sci Med. 2017; (published online May 17.)DOI:10.1016/j.socscimed.2017.05.032Crossref PubMed Scopus (4) Google Scholar What are the main messages from these outcomes? First, we need to rigorously check to see if the social franchising model—and various other private-sector quality and equity improvement strategies—are actually producing their intended benefit. Not only does this require embedding research within programmes, it importantly requires research funding agencies to step up and fund what can sometimes be expensive research. Second, donors need to adopt higher standards of evidence when they consider investing in interventions, which requires development of greater in-house expertise, but more importantly, adoption of academic peer-review processes to question the evidence underlying theories of change in interventions presented by applicants. I declare no competing interests. Effect of a multifaceted social franchising model on quality and coverage of maternal, newborn, and reproductive health-care services in Uttar Pradesh, India: a quasi-experimental studyThe Matrika social franchise model was not effective in improving the quality and coverage of maternal health services at the population level. Several key reasons identified for the absence of an effect potentially provide generalisable lessons for social franchising programmes elsewhere. Full-Text PDF Open AccessSetting the record straight on social franchisingZubia Mumtaz, in her Comment in The Lancet Global Health (February, 2018),1 questions the effectiveness of social franchising as a method for expanding access to high-quality health care. As a long-time practitioner in the field of social franchising, I have seen how the social franchising model has evolved to become much more effective than the examples reviewed by Mumtaz. Unfortunately, Mumtaz generalises the failings of one narrow application of the model to the whole field of social franchising. Full-Text PDF Open AccessSetting the record straight on social franchising – Author's replyJulie McBride's response, although aimed at providing an alternative perspective, essentially supports my argument that there is insufficient rigorous evidence to justify funding social franchises. There is no doubt that social franchising is an enticing idea. The business model, with its private profit motive, is assumed to be able to deliver high-quality services at scale and achieve sustainable effects on health care. It's a popular idea. More than 90 social franchises exist in 40 low-income and middle-income countries,1 and McBride lists some of them. Full-Text PDF Open Access

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,093
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,147
Tête enseignante GPT0,440
Écart entre enseignants0,294 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations10
Publié2017
Routes d'admission1
Résumé présentoui

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