Applying market shaping approaches to increase access to assistive technology in low- and middle-income countries.

Development outcomes are inextricably linked to the health of the marketplace that delivers products and services to people in low- and middle-income countries (LMIC). Shortcomings in the market for assistive technology (AT) contribute to low access in LMIC. Market shaping is aimed at improving a market's specific outcomes, such as access to high quality, affordable AT, by targeting the root causes of these shortcomings. The paper summarizes the findings of market analyses conducted under the UK aid funded AT2030 programme in support of ATscale and aims to discuss how market shaping can help more people gain access to the AT that they need and what are the best mechanisms to unlock markets and commercial opportunity in LMICs. The paper also explores how market shaping for AT markets could be part of a mission-oriented approach AT policy. A mission-oriented approach can help accelerate progress toward a common objective among stakeholders, at country or global level. While market-shaping activities direct the outcomes of the market toward a specific end goal, such as access to quality, affordable products and services, missions are more comprehensive and include other policy interventions and stakeholder collaborations in order to create a robust and sustainable structure.

Scoping review of economic evaluations of assistive technology globally.

The paper presents a scoping review of existing economic evaluations of assistive technology (AT). The study methodology utilized a PRISMA flow approach with final included studies that met an adapted PICOS framework. Types of economic evaluations employed, study type and rigor and domains of AT impact were considered and analyzed. The economic evaluations in this study included 13 CBA, 9 CMA, 18 CEAs and 10 CUA. The majority of studies (32 studies in total) mentioned or recorded that AT investment, access and/or usage had impacts on the domain of both informal and formal health care. Specifically, care costs, time, and resources were affected. Our study has found that current AT economic evaluations are limited. This study advocates for a wider use of robust alternative evaluation and appraisal methodologies that can highlight AT value and which would subsequently provide further evidence that may make governments more willing to invest in and shape AT markets.

Health information technology and digital innovation for national learning health and care systems.

Health information technology can support the development of national learning health and care systems, which can be defined as health and care systems that continuously use data-enabled infrastructure to support policy and planning, public health, and personalisation of care. The COVID-19 pandemic has offered an opportunity to assess how well equipped the UK is to leverage health information technology and apply the principles of a national learning health and care system in response to a major public health shock. With the experience acquired during the pandemic, each country within the UK should now re-evaluate their digital health and care strategies. After leaving the EU, UK countries now need to decide to what extent they wish to engage with European efforts to promote interoperability between electronic health records. Major priorities for strengthening health information technology in the UK include achieving the optimal balance between top-down and bottom-up implementation, improving usability and interoperability, developing capacity for handling, processing, and analysing data, addressing privacy and security concerns, and encouraging digital inclusivity. Current and future opportunities include integrating electronic health records across health and care providers, investing in health data science research, generating real-world data, developing artificial intelligence and robotics, and facilitating public-private partnerships. Many ethical challenges and unintended consequences of implementation of health information technology exist. To address these, there is a need to develop regulatory frameworks for the development, management, and procurement of artificial intelligence and health information technology systems, create public-private partnerships, and ethically and safely apply artificial intelligence in the National Health Service.

The impact of primary health care and specialist physician supply on amenable mortality in Mexico (2000-2015): Panel data analysis using system-Generalized Method of Moments.

The study had a three-fold objective: (i) to estimate the amenable mortality rates and trends at a national and state level between 2000 and 2015 in Mexico; (ii) to estimate the contribution and trends of various causes of death to overall amenable mortality; and (iii) to determine the association between health system inputs and amenable mortality for the period 2000-2015. We used a panel dataset for the period 2000-2015. The following health care inputs were used in the analysis: density of general practitioners, specialists and nurses, as well as density of hospital beds. We find that amenable mortality fell from 136 per 100,000 in 2000, to 124.1 per 100,000 in 2015 nationally, with significant heterogeneity in the trends across states. Mortality due to infectious diseases, diseases of childhood, and cardiovascular diseases decreased, while deaths due to other non-communicable diseases, such as diabetes, increased. There was a significant negative association between the density of general practitioners and specialist physicians, and amenable mortality. Our results indicate that reducing the burden of non-communicable diseases must be a health system priority. Improvements in primary health care could lead to improved disease detection and earlier diagnosis which could further reduce amenable mortality in Mexico.

Patient Choice of Health Care Providers in China: Primary Care Facilities versus Hospitals.

As China's health system is faced with challenges of overcrowded hospitals, there is a great need to better understand the recent patterns and determinants of people's choice between primary care facilities and hospitals for outpatient care. Based on recent individual-level data from the China Health and Retirement Longitudinal Survey (CHARLS) and official province-level data from China health statistical yearbooks, we examine the patterns of outpatient visits to primary care facilities versus hospitals among middle-aged and older individuals and explore both supply- and demand-side correlates that explain these patterns. We find that 53% of outpatient visits were paid to primary care facilities as opposed to hospitals in 2015, compared to 60% in 2011. Both supply and demand factors were associated with this decline. On the supply side, we find that the density of primary care facilities did not account for this decline, but higher densities of hospitals and licensed doctors were associated with lower use of primary care facilities. On the demand side, we find that individuals with higher socioeconomic status and greater health care needs were less likely to use primary health care facilities. Our findings suggest that a high concentration of health care professionals in hospitals diverts patients away from primary care facilities. Staffing the primary care facilities with a well-trained health care workforce is the key to a well-functioning primary care system. The findings also suggest a need to address demand-side inequality issues.