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Improving efficiency and productivity are key aspects to ensure that general practices in England can meet the needs of a growing population with increasingly demanding and costly healthcare needs. However, current evidence on the efficiency and productivity of general practices is weak, partly due to suboptimal approaches to measure their 'valued' output. To overcome this limitation, this paper presents a multi-dimensional framework and indicators of valued output from the healthcare decision-maker's perspective. We identified existing primary care performance frameworks through a targeted literature review. We reviewed the frameworks and selected the dimensions relating to the impact on patients' health outcomes, corresponding with the definition of 'valued' output from the healthcare decision-maker perspective. For each dimension, we reviewed the National Institute for Health and Care Excellence (NICE) evidence base and guidance on best practice to develop indicators of valued output. Clinical experts and representatives of the main primary care stakeholders reviewed and validated the framework's comprehensiveness and development process. Based on a review of three existing frameworks, we synthesised a multi-dimensional output framework comprising 13 dimensions for significant primary care-related conditions and services and 51 indicators of valued output. Each indicator of valued output measures a healthcare episode and the resulting impact on patient's health. The multi-dimensional framework and indicators provide a theoretical tool to improve the measurement of primary care output in economic efficiency and productivity studies. Future research should explore the measurability of the indicators through available datasets and the implementation of the framework through analytical approaches for efficiency measurement.
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http://dx.doi.org/10.1007/s40258-024-00895-z | DOI Listing |
Physiotherapy
June 2025
Physiotherapy Department, Melbourne School of Health Sciences, The University of Melbourne, Australia; Physiotherapy Department, Western Health, Australia; Australian Institute of Musculoskeletal Sciences, Australia. Electronic address:
Introduction/ Aims: Incorporating the perspectives of knowledge-users such as stroke survivors into intervention development processes can enhance their relevance and feasibility. The aims of this study were: i) to use co-design to determine "active ingredients" and develop a personalised physical activity intervention for stroke survivors, and ii) to evaluate the co-design process.
Methods: A four-stage integrated knowledge translation approach (involving planning and workshops) was applied to co-design a post-stroke physical activity intervention.
J Colloid Interface Sci
August 2025
State Key Laboratory of Advanced Fiber Materials, College of Materials Science and Engineering, Donghua University, Shanghai 201620, PR China; School of Materials Science and Engineering, Shanghai Dianji University, Shanghai 201306, PR China. Electronic address:
The decoupling of thermoelectric performance parameters to coordinately optimize power factor (PF) and figure of merit (ZT) remains a critical challenge. Aerogels are valued for their low thermal conductivity and light weight; however, the lower electrical properties also lead to poor ZT values that affect their practical use. Herein, we implement a directional assembly strategy integrating Te nanowires (Te NWs) with single-walled carbon nanotubes (SWCNTs) to construct a three-dimensional interwoven network.
View Article and Find Full Text PDFMagn Reson Med
August 2025
Medical Image and Data Analysis (MIDAS.lab), Department of Diagnostic and Interventional Radiology, University of Tuebingen, Tuebingen, Germany.
Purpose: The emergence of new medications for fatty liver conditions has increased the need for reliable and widely available assessment of MRI proton density fat fraction (MRI-PDFF). Whereas low-field MRI presents a promising solution, its utilization is challenging due to the low SNR. This work aims to enhance SNR and enable precise PDFF quantification at low-field MRI using a novel locally low-rank deep learning-based (LLR-DL) reconstruction.
View Article and Find Full Text PDFPlants (Basel)
August 2025
Department of Biology and Ecology, Faculty of Sciences and Mathematics, University of Niš, Višegradska 33, 18000 Niš, Serbia.
(L.) Benth. ex Rchb.
View Article and Find Full Text PDFJ Anim Sci
January 2025
College of Animal Science and Technology, Yangzhou University, Yangzhou, Jiangsu Province, 225009, P. R. China.
Though widely valued, such as commercial poultry, for its meat and egg contributions to the human diet, the White King pigeon demonstrates relatively low egg production performance. Compared to white light (WL), red light (RL) exposure has improved egg-laying performance in pigeons. To uncover the molecular mechanisms behind this effect, RNA sequencing was conducted to investigate the expression profiles of long non-coding RNAs (lncRNAs) and mRNAs in granulosa cells (GCs) from F1 and F2 follicles of White King pigeons exposed to RL and WL on the third day of the laying interval (LI3).
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