The Performance of Primary Healthcare in China: The Need for a Systematic Design for Improvement Comment on "Quality and Performance Measurement in Primary Diabetes Care: A Qualitative Study in Urban China"

Jian, Weiyan; Li, Qiaosheng; Zhang, Lanyue

doi:10.34172/ijhpm.2023.7889

Cited by 4 publications

(2 citation statements)

References 15 publications

(15 reference statements)

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“…11 In addition, some countries such as Sweden have emphasized the perspective of individuals living with diabetes and have developed a set of patient-reported outcome measures (PROMs) to be incorporated into the country’s National Diabetes Register. 12 Implementing PROMs in China’s context aligns with Jian et al commentary, 8 which called for “using indicators that are more relevant to residents’ health.”…”

Section: The Why What Who and How Of Quality Measurementmentioning

confidence: 78%

Quality Measurement in Shanghai From a Global Perspective; Response to Recent Commentaries

Rasooly,

Pan,

Tang

et al. 2024

Int J Health Policy Manag

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Section: The Why What Who and How Of Quality Measurementmentioning

confidence: 78%

Quality Measurement in Shanghai From a Global Perspective; Response to Recent Commentaries

Rasooly,

Pan,

Tang

et al. 2024

Int J Health Policy Manag

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“…The mean score of 61.01 suggests room for improvement, indicating the need for targeted capacity building and resource allocation. The diversity in scores across districts, classes, and urban/rural areas underscores the importance of tailored interventions to address speci c challenges in healthcare service delivery [21,22].…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Iraq’s National Plan to Control Hepatitis B Virus: Identifying Gaps and Strategies for Improvement

Jalal,

Karami,

Namdari

et al. 2024

Preprint

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Background: Hepatitis B virus (HBV) infection remains a significant public health concern in Iraq, this study was to understand the temporal and demographic patterns of HBV infection incidence rates (IRs) in Iraq and to evaluate the effectiveness of the national plan to control of HBV in terms of vaccination coverage, prevention of mother-to-child transmission (MTCT), blood safety, diagnosis, and treatment. Methods: A descriptive cross-sectional study design to analyze the descriptive epidemiology profile of HBV in Iraq. National-level data from 2015 to 2022 for different governorates. The evaluation phase focused on the Wasit governorate, which includes 24 primary health care centers (PHCCs). Statistical tests, included t tests, ANOVA, and chi-square tests, were conducted using SPSS and Excel to identify significant patterns in the data. Results: The IRs of HBV decreased over the period. with higher rates among males and significant variations across governorates. IRs were highest among individuals aged 15-45 and over. The plan successfully achieved high vaccination coverage but faced challenges in diagnosing viral hepatitis B. The evaluation scores for PHCCs varied, 88% falling within the acceptable range. Conclusion: This study provides a comprehensive overview of the epidemiology of HBV in Iraq, highlighting declining IRs and significant demographic variations. Although there has been success in vaccination coverage, challenges persist in achieving viral hepatitis B diagnosis targets. The evaluation of PHCCs indicates areas for improvement in healthcare service delivery. These findings offer valuable insights for targeted interventions and policy adjustments, ultimately aiding in effectively controlling and preventing HBV in Iraq.

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Barriers and facilitators to implementing imaging-based diagnostic artificial intelligence-assisted decision-making software in hospitals in China: a qualitative study using the updated Consolidated Framework for Implementation Research

Liao,

Yao,

Jin

et al. 2024

BMJ Open

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ObjectivesTo identify the barriers and facilitators to the successful implementation of imaging-based diagnostic artificial intelligence (AI)-assisted decision-making software in China, using the updated Consolidated Framework for Implementation Research (CFIR) as a theoretical basis to develop strategies that promote effective implementation.DesignThis qualitative study involved semistructured interviews with key stakeholders from both clinical settings and industry. Interview guide development, coding, analysis and reporting of findings were thoroughly informed by the updated CFIR.SettingFour healthcare institutions in Beijing and Shanghai and two vendors of AI-assisted decision-making software for lung nodules detection and diabetic retinopathy screening were selected based on purposive sampling.ParticipantsA total of 23 healthcare practitioners, 6 hospital informatics specialists, 4 hospital administrators and 7 vendors of the selected AI-assisted decision-making software were included in the study.ResultsWithin the 5 CFIR domains, 10 constructs were identified as barriers, 8 as facilitators and 3 as both barriers and facilitators. Major barriers included unsatisfactory clinical performance (Innovation); lack of collaborative network between primary and tertiary hospitals, lack of information security measures and certification (outer setting); suboptimal data quality, misalignment between software functions and goals of healthcare institutions (inner setting); unmet clinical needs (individuals). Key facilitators were strong empirical evidence of effectiveness, improved clinical efficiency (innovation); national guidelines related to AI, deployment of AI software in peer hospitals (outer setting); integration of AI software into existing hospital systems (inner setting) and involvement of clinicians (implementation process).ConclusionsThe study findings contributed to the ongoing exploration of AI integration in healthcare from the perspective of China, emphasising the need for a comprehensive approach considering both innovation-specific factors and the broader organisational and contextual dynamics. As China and other developing countries continue to advance in adopting AI technologies, the derived insights could further inform healthcare practitioners, industry stakeholders and policy-makers, guiding policies and practices that promote the successful implementation of imaging-based diagnostic AI-assisted decision-making software in healthcare for optimal patient care.

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The Performance of Primary Healthcare in China: The Need for a Systematic Design for Improvement Comment on "Quality and Performance Measurement in Primary Diabetes Care: A Qualitative Study in Urban China"

Cited by 4 publications

References 15 publications

Quality Measurement in Shanghai From a Global Perspective; Response to Recent Commentaries

Quality Measurement in Shanghai From a Global Perspective; Response to Recent Commentaries

Evaluation of Iraq’s National Plan to Control Hepatitis B Virus: Identifying Gaps and Strategies for Improvement

Barriers and facilitators to implementing imaging-based diagnostic artificial intelligence-assisted decision-making software in hospitals in China: a qualitative study using the updated Consolidated Framework for Implementation Research

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