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Gong W, Liu L, Li X, Caine ED, Shi J, Zeng Z, Cheng KK. Quality of asynchronous webchats vs in-person consultations for postpartum depression in China: a cross-sectional, mixed methods study using standardized patients. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 45:101053. [PMID: 38585173 PMCID: PMC10998204 DOI: 10.1016/j.lanwpc.2024.101053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 03/09/2024] [Accepted: 03/13/2024] [Indexed: 04/09/2024]
Abstract
Background Prompt professional care for postpartum depression (PPD) is difficult to obtain in China. Though online consultations improve accessibility and reduce stigma, the quality of services compared to in-person consultations is unclear. Methods Five trained, undisclosed "standardized patients" (SPs) made "asynchronous webchats" visits and in-person visits with psychiatrists. Visits were made to 85 psychiatrists who were based in 69 hospitals in ten provincial capital cities. The care between online and in-person consultations with the same psychiatrist was compared, including diagnosis, guideline adherence, and patient-centeredness. False discovery rate (FDR) was used to adjust p values. Third visits using asynchronous webchats were made to psychiatrists who offered discrepant diagnoses. Thematic content analysis was used for the discrepancies. Findings The proportion of diagnostic accuracy was lower for online than in-person visits (76.5% [65/85] vs 91.8% [78/85]; pFDR = 0.0066), as were the proportions of completing questions involving clinical history (16.6% vs 42.7%; pFDR < 0.0001), and management decisions (16.2% vs 27.5%; pFDR < 0.0001) consistent with recommended guidelines. Patient-centeredness was lower online than in-person (pFDR < 0.0001). Fifteen of 16 psychiatrists completed third visits, most of them considered lack of nonverbal information online as a key barrier. Interpretation Online consultations using asynchronous webchats were inferior to in-person consultations, with respect to diagnostic accuracy, adherence to recommended clinical guidelines, and patient-centeredness. To fully realise the potential benefits of online consultations and to prevent safety issues, there is an urgent need for major improvement in the quality and oversight of these consultations. Funding China Medical Board, National Natural Science Foundation of China, and Swiss Agency for Development and Cooperation Global Cooperation Department.
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Affiliation(s)
- Wenjie Gong
- HER Team and Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha 410078, China
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, United Kingdom
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY
| | - Lu Liu
- HER Team and Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Xiaoyu Li
- HER Team and Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Eric D. Caine
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY
| | - Jingcheng Shi
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China
| | - Zhen Zeng
- HER Team and Department of Maternal and Child Health, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Kar Keung Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham B15 2TT, United Kingdom
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Zhang L, Liang H, Luo H, He W, Cai Y, Liu S, Fan Y, Huang W, Zhao Q, Zhong D, Li J, Lv S, Li C, Xie Y, Zhang N, Xu D(R. Quality in screening and measuring blood pressure in China's primary health care: a national cross-sectional study using unannounced standardized patients. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2024; 43:100973. [PMID: 38076324 PMCID: PMC10701131 DOI: 10.1016/j.lanwpc.2023.100973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/15/2023] [Accepted: 11/06/2023] [Indexed: 02/12/2024]
Abstract
Background This study aims to evaluate primary care providers' adherence to the standard of measuring blood pressure for people aged 35 or above during their initial visit, as per Chinese guidelines, and to identify factors affecting their practices. Methods We developed 11 standardized patients (SP) cases as tracer conditions to evaluate primary care, and deployed trained SPs for unannounced visits to randomly selected providers in seven provinces of China. The SPs used a checklist based on guidelines to record whether and how blood pressure was measured. Data were analyzed descriptively and regression analysis was performed to examine the association between outcomes and factors such as provider, patient, facility, and clinical case characteristics. Findings The SPs conducted 1201 visits and found that less than one-third of USPs ≥35 had their blood pressure measured. Only 26.9% of migraine and 15.4% of diabetes cases received blood pressure measurements. Additionally, these measurements did not follow the proper guidelines and recommended steps. On average, 55.6% of the steps were followed with few providers considering influencing factors before measurement and only 6.0% of patients received both-arm measurements. The use of wrist sphygmomanometers was associated with poor blood pressure measurement. Interpretation In China, primary care hypertension screening practices fall short of guidelines, with infrequent initiation of blood pressure measurements and inadequate adherence to proper measurement steps. To address this, priority should be placed on adopting, implementing, and upholding guidelines for hypertension screening and measurement. Funding National Natural Science Foundation of China, Swiss Agency for Development and Cooperation, Doctoral Fund Project of Inner Mongolia Medical University, China Postdoctoral Science Foundation.
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Affiliation(s)
- Lanping Zhang
- Acacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou, China
- The Third Department of Lung Disease, Shenzhen Third People's Hospital, Shenzhen, Guangdong Province 518112, China
| | - Huijuan Liang
- School of Health Management, Inner Mongolia Medical University, Hohhot, China
| | - Huanyuan Luo
- Acacia Lab for Implementation Science, Institute for Global Health, Dermatology Hospital of Southern Medical University, Guangzhou, China
| | - Wenjun He
- Acacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou, China
- Acacia Lab for Implementation Science, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yiyuan Cai
- Department of Epidemiology and Health Statistics, School of Public Health, Guizhou Medical University, Guizhou Province, China
| | - Siyuan Liu
- Acacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou, China
| | - Yancun Fan
- School of Health Management, Inner Mongolia Medical University, Hohhot, China
| | - Wenxiu Huang
- Erfenzi Township Health Center of Wuchuan County, Inner Mongolia, China
| | - Qing Zhao
- Center for World Health Organization Studies and Department of Health Management, School of Health Management of Southern Medical University, Guangzhou, China
| | - Dongmei Zhong
- Acacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou, China
| | - Jiaqi Li
- Acacia Lab for Implementation Science, School of Public Health, Southern Medical University, Guangzhou, China
| | - Sensen Lv
- Acacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou, China
| | - Chunping Li
- Acacia Lab for Implementation Science, School of Public Health, Southern Medical University, Guangzhou, China
| | - Yunyun Xie
- Acacia Lab for Implementation Science, School of Health Management, Southern Medical University, Guangzhou, China
| | - Nan Zhang
- School of Health Management, Inner Mongolia Medical University, Hohhot, China
| | - Dong (Roman) Xu
- Acacia Lab for Implementation Science, School of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China
- Center for World Health Organization Studies and Department of Health Management, School of Health Management of Southern Medical University, Guangzhou, China
- Southern Medical University Institute for Global Health (SIGHT), Dermatology Hospital of Southern Medical University (SMU), Guangzhou, China
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Khatri RB, Endalamaw A, Erku D, Wolka E, Nigatu F, Zewdie A, Assefa Y. Preparedness, impacts, and responses of public health emergencies towards health security: qualitative synthesis of evidence. Arch Public Health 2023; 81:208. [PMID: 38037151 PMCID: PMC10687930 DOI: 10.1186/s13690-023-01223-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 11/25/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Natural and human-made public health emergencies (PHEs), such as armed conflicts, floods, and disease outbreaks, influence health systems including interruption of delivery and utilization of health services, and increased health service needs. However, the intensity and types of impacts of these PHEs vary across countries due to several associated factors. This scoping review aimed to synthesise available evidence on PHEs, their preparedness, impacts, and responses. METHODS We conducted a scoping review of published evidence. Studies were identified using search terms related to two concepts: health security and primary health care. We used Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR) guidelines to select studies. We adapted the review framework of Arksey and O'Malley. Data were analyzed using a thematic analysis approach and explained under three stages of PHEs: preparedness, impacts, and responses. RESULTS A total of 64 studies were included in this review. Health systems of many low- and middle-income countries had inadequate preparedness to absorb the shocks of PHEs, limited surveillance, and monitoring of risks. Health systems have been overburdened with interrupted health services, increased need for health services, poor health resilience, and health inequities. Strategies of response to the impact of PHEs included integrated services such as public health and primary care, communication and partnership across sectors, use of digital tools, multisectoral coordination and actions, system approach to responses, multidisciplinary providers, and planning for resilient health systems. CONCLUSIONS Public health emergencies have high impacts in countries with weak health systems, inadequate preparedness, and inadequate surveillance mechanisms. Better health system preparedness is required to absorb the impact, respond to the consequences, and adapt for future PHEs. Some potential response strategies could be ensuring need-based health services, monitoring and surveillance of post-emergency outbreaks, and multisectoral actions to engage sectors to address the collateral impacts of PHEs. Mitigation strategies for future PHEs could include risk assessment, disaster preparedness, and setting digital alarm systems for monitoring and surveillance.
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Affiliation(s)
- Resham B Khatri
- Health Social Science and Development Research Institute, Kathmandu, Nepal.
- School of Public Health, University of Queensland, Brisbane, Australia.
| | - Aklilu Endalamaw
- School of Public Health, University of Queensland, Brisbane, Australia
- College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, Ethiopia
| | - Daniel Erku
- Centre for Applied Health Economics, School of Medicine, Griffith University, Brisbane, Australia
- Menzies Health Institute Queensland, Griffith University, Brisbane, Australia
| | - Eskinder Wolka
- International Institute for Primary Health Care-Ethiopia, Addis Ababa, Ethiopia
| | - Frehiwot Nigatu
- International Institute for Primary Health Care-Ethiopia, Addis Ababa, Ethiopia
| | - Anteneh Zewdie
- International Institute for Primary Health Care-Ethiopia, Addis Ababa, Ethiopia
| | - Yibeltal Assefa
- School of Public Health, University of Queensland, Brisbane, Australia
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Xie Y, He W, Wan Y, Luo H, Cai Y, Gong W, Liu S, Zhong D, Hu W, Zhang L, Li J, Zhao Q, Lv S, Li C, Zhang Z, Li C, Chen X, Huang W, Wang Y, Xu D. Validity of patients' online reviews at direct-to-consumer teleconsultation platforms: a protocol for a cross-sectional study using unannounced standardised patients. BMJ Open 2023; 13:e071783. [PMID: 37164474 PMCID: PMC10173992 DOI: 10.1136/bmjopen-2023-071783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 04/12/2023] [Indexed: 05/12/2023] Open
Abstract
INTRODUCTION As direct-to-consumer teleconsultation (hereafter referred to as 'teleconsultation') has gained popularity, an increasing number of patients have been leaving online reviews of their teleconsultation experiences. These reviews can help guide patients in identifying doctors for teleconsultation. However, few studies have examined the validity of online reviews in assessing the quality of teleconsultation against a gold standard. Therefore, we aim to use unannounced standardised patients (USPs) to validate online reviews in assessing both the technical and patient-centred quality of teleconsultations. We hypothesise that online review results will be more consistent with the patient-centred quality, rather than the technical quality, as assessed by the USPs. METHODS AND ANALYSIS In this cross-sectional study, USPs representing 11 common primary care conditions will randomly visit 253 physicians via the three largest teleconsultation platforms in China. Each physician will receive a text-based and a voice/video-based USP visit, resulting in a total of 506 USP visits. The USP will complete a quality checklist to assess the proportion of clinical practice guideline-recommended items during teleconsultation. After each visit, the USP will also complete the Patient Perception of Patient-Centeredness Rating. The USP-assessed results will be compared with online review results using the intraclass correlation coefficient (ICC). If ICC >0.4 (p<0.05), we will assume reasonable concordance between the USP-assessed quality and online reviews. Furthermore, we will use correlation analysis, Lin's Coordinated Correlation Coefficient and Kappa as supplementary analyses. ETHICS AND DISSEMINATION This study has received approval from the Institutional Review Board of Southern Medical University (#Southern Medical Audit (2022) No. 013). Results will be actively disseminated through print and social media, and USP tools will be made available for other researchers. TRIAL REGISTRATION The study has been registered at the China Clinical Trials Registry (ChiCTR2200062975).
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Affiliation(s)
- Yunyun Xie
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Wenjun He
- School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Yuting Wan
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Huanyuan Luo
- Dermatology Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Southern Medical University Institute for Global Health (SIGHT), Dermatology Hospital of Southern Medical University, Guangzhou, China
- Acacia Lab for Implementation Science, School of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Yiyuan Cai
- Department of Epidemiology and Medical Statistic, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, China
- Department of Epidemiology and Medical Statistics, School of Public Health, Guizhou Medical University, Guiyang, Guizhou, China
| | - Wenjie Gong
- School of Public Health, Central South University, Changsha, China
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Siyuan Liu
- School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
- Acacia Lab for Implementation Science, School of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Dongmei Zhong
- School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
- Acacia Lab for Implementation Science, School of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Wenping Hu
- Department of Social Medicine and Health Management, Lanzhou University, Lanzhou, Gansu Province, China
| | - Lanping Zhang
- School of Health Management, Southern Medical University, Guangzhou, China
- Acacia Lab for Implementation Science, School of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Jiaqi Li
- School of Health Management, Southern Medical University, Guangzhou, China
- Acacia Lab for Implementation Science, School of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Qing Zhao
- Acacia Lab for Implementation Science, School of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Sensen Lv
- School of Health Management, Southern Medical University, Guangzhou, China
- Acacia Lab for Implementation Science, School of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Chunping Li
- School of Health Management, Southern Medical University, Guangzhou, China
- Acacia Lab for Implementation Science, School of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Zhang Zhang
- Gillings School of Global Public Health, The University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, North Carolina, USA
| | - Changchang Li
- Dermatology Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Xiaoshan Chen
- School of Health Management, Southern Medical University, Guangzhou, China
- Acacia Lab for Implementation Science, School of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Wangqing Huang
- School of Health Management, Southern Medical University, Guangzhou, China
- Acacia Lab for Implementation Science, School of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China
| | - Yutong Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Dong Xu
- Southern Medical University Institute for Global Health (SIGHT), Dermatology Hospital of Southern Medical University, Guangzhou, China
- Acacia Lab for Implementation Science, School of Health Management and Dermatology Hospital, Southern Medical University, Guangzhou, China
- Center for World Health Organization Studies and Department of Health Management, School of Health Management, Southern Medical University, Guangzhou, China
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Leung T, Cai Y, Cao J, He Q, Wang X, Lu Y, Liang H, Xu D, Liao J. The Agreement Between Virtual Patient and Unannounced Standardized Patient Assessments in Evaluating Primary Health Care Quality: Multicenter, Cross-sectional Pilot Study in 7 Provinces of China. J Med Internet Res 2022; 24:e40082. [PMID: 36459416 PMCID: PMC9758641 DOI: 10.2196/40082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Revised: 09/27/2022] [Accepted: 10/29/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND The unannounced standardized patient (USP) is the gold standard for primary health care (PHC) quality assessment but has many restrictions associated with high human and resource costs. Virtual patient (VP) is a valid, low-cost software option for simulating clinical scenarios and is widely used in medical education. It is unclear whether VP can be used to assess the quality of PHC. OBJECTIVE This study aimed to examine the agreement between VP and USP assessments of PHC quality and to identify factors influencing the VP-USP agreement. METHODS Eleven matched VP and USP case designs were developed based on clinical guidelines and were implemented in a convenience sample of urban PHC facilities in the capital cities of the 7 study provinces. A total of 720 USP visits were conducted, during which on-duty PHC providers who met the inclusion criteria were randomly selected by the USPs. The same providers underwent a VP assessment using the same case condition at least a week later. The VP-USP agreement was measured by the concordance correlation coefficient (CCC) for continuity scores and the weighted κ for diagnoses. Multiple linear regression was used to identify factors influencing the VP-USP agreement. RESULTS Only 146 VP scores were matched with the corresponding USP scores. The CCC for medical history was 0.37 (95% CI 0.24-0.49); for physical examination, 0.27 (95% CI 0.12-0.42); for laboratory and imaging tests, -0.03 (95% CI -0.20 to 0.14); and for treatment, 0.22 (95% CI 0.07-0.37). The weighted κ for diagnosis was 0.32 (95% CI 0.13-0.52). The multiple linear regression model indicated that the VP tests were significantly influenced by the different case conditions and the city where the test took place. CONCLUSIONS There was low agreement between VPs and USPs in PHC quality assessment. This may reflect the "know-do" gap. VP test results were also influenced by different case conditions, interactive design, and usability. Modifications to VPs and the reasons for the low VP-USP agreement require further study.
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Affiliation(s)
| | - Yiyuan Cai
- Department of Epidemiology and Medical Statistics, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Jin Cao
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Qianyu He
- Department of Medical Statistics & Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiaohui Wang
- School of Public Health, Zhejiang University School of Medicine, Hangzhou, China
| | - Yun Lu
- Department of Preventive Medicine & Maternal and Child Health, School of Public Health, Guizhou Medical University, Guiyang, China
| | - Huijuan Liang
- Research Institute for Health Policy of Inner Mongolia, Inner Mongolia Medical University, Hohhot, China
| | - Dong Xu
- Center for World Health Organization Studies, Department of Health Management, School of Health Management of Southern Medical University, Guangzhou, China.,ACACIA Lab for Implementation Research, Southern Medical University Institute for Global Health, Dermatology Hospital of Southern Medical University, Guangzhou, China
| | - Jing Liao
- Department of Medical Statistics & Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
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