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Our objective was to evaluate the cost-utility of a health and social care integration programme for frail older adults in Buenos Aires, Argentina.

Based on a study of the programme’s effectiveness, a Markov model was conducted to assess its cost-utility. The active intervention was the health and social care integration programme, and the control was the best standard of care so far. The setting was the patients' home of residence. A third-party payer perspective and a lifelong time horizon were adopted. All transition probabilities, quality-adjusted life years (QALYs) and costs were estimated from the effectiveness study. A discount rate of 3.5% was applied to costs and benefits. Costs are expressed in international dollars (Int$), calculated according to the International Monetary Fund’s purchasing power parity rate. Different sensitivity analyses were performed. The model was built in Excel 365. Construct validity, verification during model construction and internal consistency of the results were assessed.

The programme had an average cost of Int$18,768.22/QALY, and the control Int$42,609.68/QALY. In the incremental analysis, the programme saved Int$26,436.10 and gained 0.81 QALYs over the control. In the sensitivity analyses, in 99.96% of cases, the programme was less costly and more effective.

The cost savings can facilitate the scalability.

The health and social care integration programme for frail older adults was more effective and less costly than the best standard of care to date. This study contributes to the scarce evidence on the efficiency of integrated care strategies for frail older persons.

The purpose of this paper is to explore the consumer acceptance of a functional meat processed product made with different meat sources, and to distinguish the existence of different market segments.

Non-probability sampling was used to recruit a sample of 411 consumers in Southern Chile, over the age of 18 and responsible for the purchase of meat products for their household.

Using a fractional factorial design for conjoint analysis, it was found in the total sample that the meat source of the meat processed product was more important than packaging, region of origin, price and the functional ingredient claim, with preference for lamb and pork meat processed products with omega-3. Two main segments were identified using a cluster analysis; these segments differed according to family size, presence and age of children, ethnic origin, general health interest, quality of diet and level of satisfaction with food-related life. The largest segment (56.0 percent) shows a high preference toward lamb meat processed product with dietary fiber and omega-3. The second (33.6 percent) preferred turkey meat processed product with antioxidants.

A differentiated marketing strategy with different meat sources and functional ingredients may give access to a large market share. People more willing to accept different functional ingredients in processed meat products may enjoy a better quality of life. The level of satisfaction with food-related life and quality of diet can be useful in explaining preferences for functional meat processed products.

This is the first study to evaluate consumer acceptance of a functional meat processed product made with three different meats and three different functional ingredient claims, which analyzed the relationship between acceptance, the consumer’s quality of diet and their level of satisfaction with food-related life.

This paper investigates the relationship between agricultural entrepreneurship (AE) and new technologies using academic and practitioners' perspectives to understand how new technologies such as artificial intelligence (AI), machine learning and augmented reality can promote agri-businesses.

The paper adopts a content and thematic analysis of 325 academic sources extracted from the Scopus database and 683 patents retrieved from the European Patent Office (EPO) dataset. Additionally, the research applies the Kruskal–Wallis test as a non-parametric test for evaluating differences in the main concepts discussed in the two sources.

The academic and practitioners' debate highlights a trading zone among the two streams. patents' analysis from the EPO reveals four main common themes as a new business that benefits from AI in weather predictions, new smart and intelligent ways to monitor crops, new businesses that use clouds to control plant's humidity. The analysis of Scopus's sources demonstrates theoretical approaches related to the technology acceptance model (TAM) and practical strategies in terms of entrepreneurial skills to support the agricultural sector. However, barriers among the two streams of sources exist in innovation management and scale-up entrepreneurial initiatives.

Regarding implications, the authors aim to connect academic and practitioners' views by understanding the new potential innovation applications and the connected new research avenues. Limitations might arise from the sources used to develop our analysis.

The paper is novel because it investigates the issues arising from the relationship between AE and new technologies by examining original validated patents released by practitioners and approved by the EPO, rather than reviewing blogs or the financial press. This leads to a holistic understanding of the impact of tangible practices among agricultural entrepreneurs. The results support the view that new trading zones and case studies are needed to highlight and show the positive impact of technologies in this field. The authors argue that practitioners require scholars to reduce the ambiguity between AE and its expected results, leading to investments to boost new agricultural business ideas.