Taking the pulse of the health services research community: a cross-sectional survey of research impact, barriers and support
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Notice bibliographique
Résumé
Objective This study reports on the characteristics of individuals conducting health service research (HSR) in Australia and New Zealand, the perceived accessibility of resources for HSR, the self-reported impact of HSR projects and perceived barriers to conducting HSR. Methods A sampling frame was compiled from funding announcements, trial registers and HSR organisation membership. Listed researchers were invited to complete online surveys. Close-ended survey items were analysed using basic descriptive statistics. Goodness of fit tests determined potential associations between researcher affiliation and access to resources for HSR. Open-ended survey items were analysed using thematic analysis. Results In all, 424 researchers participated in the study (22% response rate). Respondents held roles as health service researchers (76%), educators (34%) and health professionals (19%). Most were employed by a university (64%), and 57% held a permanent contract. Although 63% reported network support for HSR, smaller proportions reported executive (48%) or financial (26%) support. The least accessible resources were economists (52%), consumers (49%) and practice change experts (34%); researchers affiliated with health services were less likely to report access to statisticians (P<0.001), economists (P<0.001), librarians (P=0.02) and practice change experts (P=0.02) than university-affiliated researchers. Common impacts included conference presentations (94%), publication of peer-reviewed articles (87%) and health professional benefits (77%). Qualitative data emphasised barriers such as embedding research culture within services and engaging with policy makers. Conclusions The data highlight opportunities to sustain the HSR community through dedicated funding, improved access to methodological expertise and greater engagement with end-users. What is known about the topic? HSR faces several challenges, such as inequitable funding allocation and difficulties in quantifying the effects of HSR on changing health policy or practice. What does this paper add? Despite a vibrant and experienced HSR community, this study highlights some key barriers to realising a greater effect on the health and well-being of Australian and New Zealand communities through HSR. These barriers include limited financial resources, methodological expertise, organisational support and opportunities to engage with potential collaborators. What are the implications for practitioners? Funding is required to develop HSR infrastructure, support collaboration between health services and universities and combine knowledge of the system with research experience and expertise. Formal training programs for health service staff and researchers, from short courses to PhD programs, will support broader interest and involvement in HSR.
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.
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,122 | 0,023 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
score_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