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Bach F, Engelhardt D, Mallmann CA, Tamir S, Schröder L, Domröse CM, Mallmann MR. Internet Access and Use by Patients with Gynecologic Malignancies: A Cross-Sectional Study. Cancers (Basel) 2024; 16:1677. [PMID: 38730629 PMCID: PMC11083592 DOI: 10.3390/cancers16091677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 04/21/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
The influence of digitalization on information-seeking, decision-making properties of patients, therapy monitoring, and patient-physician interactions has and will change the global health sector tremendously. With this study, we add knowledge on the degree of digitalization, digital device availability, the use and availability of home and mobile internet access, and the willingness to use novel forms of patient-physician interactions in a group of gynecologic cancer patients. From July 2017 to March 2022, 150 women with a diagnosis of gynecologic malignancy at the University Hospital of Cologne participated in this questionnaire-based cohort study. Any one of three potential internet access devices (stationary computer, smartphone, or tablet) is owned by 94% of patients and the only patient intrinsic factor that is significantly associated with the property of any one of these internet access devices is age. The Internet is used daily or several times per week to assess information on their disease by 92.8%, 90.1% use the Internet for communicational purposes and 71.9% and 93.6% are willing to communicate with their treating physicians via E-Mail or even novel forms of communication, respectively. In conclusion, the predominant majority of gynecologic cancer patients can be reached by modern internet-based E-Health technologies.
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Affiliation(s)
- Frederik Bach
- Faculty of Medicine, University of Cologne, Joseph-Stelzmann-Str. 20, 50931 Cologne, Germany (D.E.)
- Department of Obstetrics and Gynecology, University of Cologne, Kerpener Str. 34, 50931 Cologne, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf, Germany
| | - David Engelhardt
- Faculty of Medicine, University of Cologne, Joseph-Stelzmann-Str. 20, 50931 Cologne, Germany (D.E.)
- Department of Obstetrics and Gynecology, University of Cologne, Kerpener Str. 34, 50931 Cologne, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf, Germany
| | - Christoph A. Mallmann
- Department of Surgery, Helios University Hospital Wuppertal, Heusnerstr. 40, 42283 Wuppertal, Germany;
| | - Sina Tamir
- Department of Obstetrics and Gynecology, Hospital of the City of Cologne, Neufelder Str. 32, 51067 Cologne, Germany
| | - Lars Schröder
- Faculty of Medicine, University of Cologne, Joseph-Stelzmann-Str. 20, 50931 Cologne, Germany (D.E.)
- Department of Obstetrics and Gynecology, University of Cologne, Kerpener Str. 34, 50931 Cologne, Germany
| | - Christian M. Domröse
- Faculty of Medicine, University of Cologne, Joseph-Stelzmann-Str. 20, 50931 Cologne, Germany (D.E.)
- Department of Obstetrics and Gynecology, University of Cologne, Kerpener Str. 34, 50931 Cologne, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf, Germany
| | - Michael R. Mallmann
- Faculty of Medicine, University of Cologne, Joseph-Stelzmann-Str. 20, 50931 Cologne, Germany (D.E.)
- Department of Obstetrics and Gynecology, University of Cologne, Kerpener Str. 34, 50931 Cologne, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf, Germany
- Department of Obstetrics and Gynecology, Hospital of the City of Cologne, Neufelder Str. 32, 51067 Cologne, Germany
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Zhong X, Cui Y, Wen L, Li S, Gao Z, Zang S, Zhang M, Bai X. Health information-seeking experience in people with head and neck neoplasms undergoing treatment: a qualitative study. Support Care Cancer 2024; 32:128. [PMID: 38261108 DOI: 10.1007/s00520-024-08329-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 01/16/2024] [Indexed: 01/24/2024]
Abstract
PURPOSE To describe the health information-seeking experience and its influencing factors of people with head and neck neoplasms undergoing treatment. METHODS This was a descriptive phenomenology study. Participants were recruited by purposive sampling. The semistructured interviews and all observation results were recorded. The data were analysed using Colaizzi's method. RESULTS Fourteen participants were selected. We identified four themes that illustrate factors that influence the health information-seeking behaviour of participants: patients' awareness of health information needs, patients' competence, doctor-patient communication, and online advertising interference. We also determined the value of different types of information and patients' information needs and sources. CONCLUSION These findings can help professionals understand patients' behaviours and think about how to deliver practical information support in a network environment to guide patients in continuous information seeking while taking specific factors into account.
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Affiliation(s)
- Xia Zhong
- Department of Radiation Oncology, The First Hospital of China Medical University, No.210, Baita 1st Street, Shenyang, Liaoning Province, 110167, People's Republic of China
| | - Yuanyuan Cui
- School of Nursing, Dalian University, Dalian, Liaoning Province, 116000, People's Republic of China
| | - Liying Wen
- Department of Operating Room, Shengjing Hospital of China Medical University, Shenyang, Liaoning Province, 110167, People's Republic of China
| | - Siyu Li
- Department of Radiation Oncology, The First Hospital of China Medical University, No.210, Baita 1st Street, Shenyang, Liaoning Province, 110167, People's Republic of China
| | - Zhuoran Gao
- Department of Radiation Oncology, The First Hospital of China Medical University, No.210, Baita 1st Street, Shenyang, Liaoning Province, 110167, People's Republic of China
| | - Shuang Zang
- Department of Community Nursing, School of Nursing, China Medical University, Shenyang, No.77 Puhe Road, Shenyang North New Area, Shenyang, Liaoning Province, 110122, People's Republic of China
| | - Miao Zhang
- Department of Radiation Oncology, The First Hospital of China Medical University, No.210, Baita 1st Street, Shenyang, Liaoning Province, 110167, People's Republic of China
| | - Xinghua Bai
- Department of Radiation Oncology, The First Hospital of China Medical University, No.210, Baita 1st Street, Shenyang, Liaoning Province, 110167, People's Republic of China.
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Chu Y, Xie Q, Meng R, Leng B, Cao Z. Evaluation of the Quality and Readability of Online Information about Alzheimer's Disease in China. J Alzheimers Dis 2024; 99:667-678. [PMID: 38701143 DOI: 10.3233/jad-231339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Background With the increasing popularity of the internet, a growing number of patients and their companions are actively seeking health-related information online. Objective The aim of this study was to assess the quality and readability of online information about Alzheimer's disease (AD) in China. Methods A total of 263 qualified AD-related web pages from different businesses, governments, and hospitals were obtained. The quality of the web pages was assessed using the DISCERN tool, and the readability of the web pages was assessed using a readability measurement website suitable for the Chinese language. The differences in readability and quality between different types of web pages were investigated, and the correlation between quality and readability was analyzed. Results The mean overall DISCERN score was 40.93±7.5. The government group scored significantly higher than the commercial and hospital groups. The mean readability score was 12.74±1.27, and the commercial group had the lowest readability score. There was a positive correlation between DISCERN scores and readability scores. Conclusions This study presents an evaluation of the quality and readability of health information pertaining to AD in China. The findings indicate that there is a need to enhance the quality and readability of web pages about AD in China. Recommendations for improvement are proposed in light of these findings.
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Affiliation(s)
- Yili Chu
- School of Humanistic Medicine, Anhui Medical University, Hefei, Anhui, China
- Key Laboratory of Public Health Social Governance, Philosophy and Social Sciences of Anhui Province, Anhui Medical University, Hefei, Anhui, China
| | - Qihui Xie
- Clinical College, Anhui Medical University, Hefei, Anhui, China
| | - Rongrong Meng
- Clinical College, Anhui Medical University, Hefei, Anhui, China
| | - Bing Leng
- School of Humanistic Medicine, Anhui Medical University, Hefei, Anhui, China
| | - Zhenxiang Cao
- Hefei Advanced Research Institute, Anhui University of Finance and Economics, Hefei, Anhui, China
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Yang W, Li B, Liu M, Tong D, Zou Y, Li X, Xie L. Quality evaluation of health information about breast cancer treatment found on WeChat public accounts. Arch Public Health 2023; 81:170. [PMID: 37715269 PMCID: PMC10503205 DOI: 10.1186/s13690-023-01184-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 09/05/2023] [Indexed: 09/17/2023] Open
Abstract
BACKGROUND With growing cases of breast cancer, WeChat public account, an important information publishing platform of WeChat, has become a breast cancer treatment health information provider to a huge audience. It is essential for health information to possess high-level accuracy and reliability. This work evaluates the quality of health information on breast cancer treatment in WeChat public accounts (WPAs), to benefit the patients while making treatment decisions and provide WPA authors with suggestions on publishing high-quality treatment health information. METHODS With "breast cancer" as keywords, searches were implemented on weixin.sogou.com and the WeChat app. The WPAs oriented to patients with breast cancer were selected, and the four latest articles of each WPA were included in a set to be evaluated with DISCERN. RESULTS A total of 37 WPAs and 136 articles published by them were included. The accounts operated by individual users were 54%. The median of overall quality of 136 articles was 44 (interquartile range = 10.75) and ranked as "fair", of which only 28 (21%) were of "good" or higher quality. Among these articles, 74 (54%) were related to medical treatments, and 13 of them mentioned clinical trials; 36 (27%) dealt with surgery. 101 (74.26%) omitted additional sources of information; 102 (75%) did not explicitly suggest shared decision-making. A significant difference was not found in the dimensions "reliability of the articles" and "specific details of information on treatment choices" between the distinct categories of account subjects and various treatment options (P > 0.05). CONCLUSIONS The quality of the articles on breast cancer treatment health information in WPAs was moderate. WPA producers should focus on improving the reliability of information and providing more details on treatment options, to assist patients in making optimal decisions during treatment.
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Affiliation(s)
- Wenjuan Yang
- School of Nursing, Anhui Medical University, Hefei, China
| | - Bingyan Li
- School of Nursing, Anhui Medical University, Hefei, China
| | - Min Liu
- School of Nursing, Anhui Medical University, Hefei, China
| | - Dongtong Tong
- School of Nursing, Anhui Medical University, Hefei, China
| | - Yang Zou
- School of Nursing, Anhui Medical University, Hefei, China
| | - Xing Li
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Lunfang Xie
- School of Nursing, Anhui Medical University, Hefei, China.
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Akingbade O, Adediran V, Somoye IE, Alade AS, Chow KM. Perceived feasibility and usefulness of mHealth interventions for psychoeducational support among Nigerian women receiving chemotherapy for breast cancer: a focus group study. Support Care Cancer 2022; 30:9723-9734. [DOI: 10.1007/s00520-022-07403-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 10/07/2022] [Indexed: 11/06/2022]
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6
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Yang Y, Hou M, Gong X, Guo R, Feng XL, Tian R. Quality Assessment of Hypertension Treatment–Related Information on WeChat: Cross-sectional Study. J Med Internet Res 2022; 24:e38567. [PMID: 36287598 PMCID: PMC9647448 DOI: 10.2196/38567] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 09/09/2022] [Accepted: 09/23/2022] [Indexed: 11/24/2022] Open
Abstract
Background The WeChat platform has become a primary source for medical information in China. However, no study has been conducted to explore the quality of information on WeChat for the treatment of hypertension, the leading chronic condition. Objective This study aimed to explore the quality of information in articles on WeChat that are related to hypertension treatment from the aspects of credibility, concreteness, accuracy, and completeness. Methods We searched for all information related to hypertension treatment on WeChat based on several inclusion and exclusion criteria. We used 2 tools to evaluate information quality, and 2 independent reviewers performed the assessment with the 2 tools separately. First, we adopted the DISCERN instrument to assess the credibility and concreteness of the treatment information, with the outcomes classified into five grades: excellent, good, fair, poor, and very poor. Second, we applied the Chinese Guidelines for Prevention and Treatment of Hypertension (2018 edition) to evaluate the accuracy and completeness of the article information with regard to specific medical content. Third, we combined the results from the 2 assessments to arrive at the overall quality of the articles and explored the differences between, and associations of, the 2 independent assessments. Results Of the 223 articles that were retrieved, 130 (58.3%) full texts were included. Of these 130 articles, 81 (62.3%) described therapeutic measures for hypertension. The assessment based on the DISCERN instrument reported a mean score of 31.22 (SD 8.46). There were no articles rated excellent (mean score >63); most (111/130, 85.4%) of the articles did not refer to the consequences—in particular, quality of life—of no treatment. For specific medical content, adherence to the Chinese Guidelines for Prevention and Treatment of Hypertension was generally low in terms of accuracy and completeness, and there was much erroneous information. The overall mean quality score was 10.18 (SD 2.22) for the 130 articles, and the scores differed significantly across the 3 types (P=.03) and 5 sources (P=.02). Articles with references achieved higher scores for quality than those reporting none (P<.001). The results from the DISCERN assessment and the medical content scores were highly correlated (ρ=0.58; P<.001). Conclusions The quality of hypertension treatment–related information on the WeChat platform is low. Future work is warranted to regulate information sources and strengthen references. For the treatment of hypertension, crucial information on the consequences of no treatment is urgently needed.
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Affiliation(s)
- Yuting Yang
- School of Public Health, Capital Medical University, Beijing, China
| | - Mengchi Hou
- China Aerospace Science & Industry Corporation 731 Hospital, Beijing, China
| | - Xue Gong
- School of Public Health, Capital Medical University, Beijing, China
| | - Rui Guo
- School of Public Health, Capital Medical University, Beijing, China
| | - Xing Lin Feng
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China
| | - Rui Tian
- Capital Medical University Library, Capital Medical University, Beijing, China
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Ding Q, Gu Y, Zhang G, Li X, Zhao Q, Gu D, Yang X, Wang X. What Causes Health Information Avoidance Behavior under Normalized COVID-19 Pandemic? A Research from Fuzzy Set Qualitative Comparative Analysis. Healthcare (Basel) 2022; 10:healthcare10081381. [PMID: 35893203 PMCID: PMC9331662 DOI: 10.3390/healthcare10081381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/20/2022] [Accepted: 07/20/2022] [Indexed: 12/02/2022] Open
Abstract
Affected by the normalization of the COVID-19 pandemic, people’s lives are subject to many restrictions, and they are under enormous psychological and physical pressure. In this situation, health information may be a burden and cause of anxiety for people; thus, the refusal of health information occurs frequently. Health-information-avoidance behavior has produced potential impacts and harms on people’s lives. Based on more than 120,000 words of textual data obtained from semi-structured interviews, summarizing a case collection of 55 events, this paper explores the factors and how they combine to lead to avoidance of health information. First, the influencing factors are constructed according to the existing research, and then the fuzzy set qualitative comparative analysis (fsQCA) method is used to discover the configuration relationship of health-information-avoidance behavior. The results show that the occurrence of health-information avoidance is not the result of a single factor but the result of a configuration of health-information literacy, negative emotions, perceived information, health-information presentation, cross-platform distribution, and the network information environment. These findings provide inspiration for reducing the adverse consequences of avoiding health information and improving the construction of health-information service systems.
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Affiliation(s)
- Qingxiu Ding
- School of Management, Hefei University of Technology, Hefei 230009, China; (Q.D.); (G.Z.); (X.L.); (X.Y.)
| | - Yadi Gu
- Mental Health Education and Counseling Center, University of Shanghai for Science and Technology, Shanghai 200093, China;
| | - Gongrang Zhang
- School of Management, Hefei University of Technology, Hefei 230009, China; (Q.D.); (G.Z.); (X.L.); (X.Y.)
| | - Xingguo Li
- School of Management, Hefei University of Technology, Hefei 230009, China; (Q.D.); (G.Z.); (X.L.); (X.Y.)
| | - Qin Zhao
- School of Foreign Studies, Hefei University of Technology, Hefei 230009, China;
| | - Dongxiao Gu
- School of Management, Hefei University of Technology, Hefei 230009, China; (Q.D.); (G.Z.); (X.L.); (X.Y.)
- Correspondence: (D.G.); (X.W.)
| | - Xuejie Yang
- School of Management, Hefei University of Technology, Hefei 230009, China; (Q.D.); (G.Z.); (X.L.); (X.Y.)
| | - Xiaoyu Wang
- The Department of Pharmacy of the 1st Affiliated Hospital, Anhui University of Chinese Medicine, Hefei 230031, China
- Correspondence: (D.G.); (X.W.)
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Merati-Fashi F, Dalvandi A, Yekta ZP. Health Information Seeking and Its Achievements in Patients With Chronic Disease. J Nurse Pract 2022. [DOI: 10.1016/j.nurpra.2021.12.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Dai S, Liu X, Chen X, Bie J, Du C, Miao J, Jiang M. Current Status of Out-of-Hospital Management of Cancer Patients and Awareness of Internet Medical Treatment: A Questionnaire Survey. Front Public Health 2022; 9:756271. [PMID: 34970526 PMCID: PMC8712547 DOI: 10.3389/fpubh.2021.756271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 11/12/2021] [Indexed: 02/05/2023] Open
Abstract
Objective: To explore the current situation of the out-of-hospital management of patients with cancer and evaluate the feasibility of Internet medical intervention outside the hospital in China. Methods: The questionnaire was designed based on the investigators' clinical experience, literature data, and the Anderson Symptom Scale, and adopted a cross sectional survey method. Results: Totally 1,171 qualified questionnaires were analyzed. The results showed that 92.7% of patients with cancer experienced varying degrees of out-of-hospital symptoms after treatment, and a third of them needed clinical intervention. Abnormal blood test results outside the hospital were basically consistent with the events that occurred during the hospitalization. One third of patients with cancer could not identify abnormal results. The primary approaches to solve these abnormalities were to seek guidance from the physician in charge or from nearby hospitals, but only 6.75% patients sought help online. More than half of the life or work of patients with cancer are still greatly affected under the current management model. 92% of respondents required medical help outside the hospital, and 65% ones were willing to pay for the out-of-hospital management. Conclusions: Out-of-hospital management model needs to be improved. Most users are willing to accept Internet cancer management with fees. The survey has a positive effect on guiding future Internet cancer management practices in China to a certain extent.
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Affiliation(s)
- Shuang Dai
- Department of Lung Cancer Center, West China Hospital Sichuan University, Chengdu, China
| | - Xiaoqin Liu
- Department of Oncology, First People's Hospital of Jintang County, Chengdu, China
| | - Xi Chen
- Department of Cancer Center, Yibin Second People's Hospital, Yibin, China
| | - Jun Bie
- Department of Oncology, Nanchong Central Hospital, Nanchong, China
| | - Chi Du
- Department of Oncology, Hospital of Zhi Zhong Zhi Zhou & Cancer Hospital of Neijiang, Neijiang, China
| | - Jidong Miao
- Department of Oncology, Zigong Fourth People's Hospital, Zi Gong, China
| | - Ming Jiang
- Department of Head and Neck Oncology, West China Hospital, Sichuan University, Chengdu, China
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Ma Z, Huang S, Wu X, Huang Y, Chan SWC, Lin Y, Zheng X, Zhu J. Development of a Prognostic Application to Predict Survival for Chinese Women with Breast Cancer (Preprint). J Med Internet Res 2021; 24:e35768. [PMID: 35262503 PMCID: PMC8943552 DOI: 10.2196/35768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/28/2022] [Accepted: 02/21/2022] [Indexed: 11/13/2022] Open
Abstract
Background Objective Methods Results Conclusions
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Affiliation(s)
- Zhuo Ma
- Department of Nursing, School of Medicine, Xiamen University, Xiamen, China
| | - Sijia Huang
- Department of Nursing, School of Medicine, Xiamen University, Xiamen, China
| | - Xiaoqing Wu
- Department of Chronic Non-infectious Diseases and Endemic Diseases Control, Xiamen Center for Disease Control and Prevention, Xiamen, China
| | - Yinying Huang
- Department of Nursing, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, China
| | | | - Yilan Lin
- Department of Chronic Non-infectious Diseases and Endemic Diseases Control, Xiamen Center for Disease Control and Prevention, Xiamen, China
| | - Xujuan Zheng
- School of Nursing, Health Science Centre, Shenzhen University, Shenzhen, China
| | - Jiemin Zhu
- Department of Nursing, School of Medicine, Xiamen University, Xiamen, China
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Mallmann CA, Domröse CM, Schröder L, Engelhardt D, Bach F, Rueckel H, Abramian A, Kaiser C, Mustea A, Faridi A, Malter W, Mallmann P, Rudlowski C, Zivanovic O, Mallmann MR. Digital Technical and Informal Resources of Breast Cancer Patients From 2012 to 2020: Questionnaire-Based Longitudinal Trend Study. JMIR Cancer 2021; 7:e20964. [PMID: 34792468 PMCID: PMC8663592 DOI: 10.2196/20964] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 08/23/2020] [Accepted: 03/10/2021] [Indexed: 01/17/2023] Open
Abstract
Background Digitalization offers enormous potential in medicine. In the era of digitalization, the development of the use of digital, technical, and informal resources of breast cancer patients and factors influencing the degree of digitization of patients has been insufficiently researched. Objective The aim of this study was to assess the development of the use of digital technical and informal resources in a well-defined patient cohort. Methods A longitudinal study on 513 breast cancer patients from 2012 to 2020 was conducted using a questionnaire that included the main aspects of the degree of digitalization, including digital device availability and use, stationary and mobile internet access and use, and communication and information seeking regarding breast cancer diagnosis and treatment. Results The majority of patients (421/513, 82.1%) owned the technical resources to benefit from eHealth, used the internet to obtain information (292/509, 57.4%), and were willing to use new eHealth solutions (379/426, 89%). Two-thirds of the patients discussed information about their cancer on the internet with their doctor, one-third found additional treatment options on the internet, and 15.3% (44/287) of the patients stated that this had changed their cancer therapy. The degree of digitization is increasing yet still significantly depends on 3 factors: (1) age (whereas 100% [39/39] of the <59-year-old group used the internet in 2020, 92% of the 60 to 69-year-old group [11/12] and only 47% [6/13] of the >70-year-old group used the internet), (2) education (internet use significantly depended on education, as only 51.8% [59/114] of patients with primary school education used the internet, but 82.4% [126/153] with middle school education and 90.3% [213/236] with high school education used the internet; P<.001), and (3) household size (67.7% [111/164] of patients living alone used the internet, whereas 84.7% [287/339] of patients living in a house with ≥2 people used the internet; P<.001). Conclusions To implement digital solutions in health care, knowledge of the composition and degree of the use of digital technical and informal resources of the patient group for which the respective solution is developed is crucial for success. Trial Registration German Register of Clinical Studies DRKS00012364; https://www.drks.de/drks_web/navigate.do?navigationId=trial.HTML&TRIAL_ID=DRKS00012364
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Affiliation(s)
- Christoph A Mallmann
- Department of Surgery, University Hospital of Cologne, Cologne, Germany.,Center of Integrated Oncology Aachen, Köln, Bonn, Düsseldorf, Cologne, Germany
| | - Christian M Domröse
- Center of Integrated Oncology Aachen, Köln, Bonn, Düsseldorf, Cologne, Germany.,Department of Obstetrics & Gynecology, University Hospital of Cologne, Cologne, Germany
| | - Lars Schröder
- Department of Obstetrics & Gynecology, University Hospital of Cologne, Cologne, Germany.,Department of Obstetrics & Gynecology, Klinikum Hanau, Hanau, Germany
| | - David Engelhardt
- Center of Integrated Oncology Aachen, Köln, Bonn, Düsseldorf, Cologne, Germany.,Department of Obstetrics & Gynecology, University Hospital of Cologne, Cologne, Germany
| | - Frederik Bach
- Center of Integrated Oncology Aachen, Köln, Bonn, Düsseldorf, Cologne, Germany.,Department of Obstetrics & Gynecology, University Hospital of Cologne, Cologne, Germany
| | - Helena Rueckel
- Center of Integrated Oncology Aachen, Köln, Bonn, Düsseldorf, Cologne, Germany.,Breast Center, University Hospital of Bonn, Bonn, Germany
| | - Alina Abramian
- Center of Integrated Oncology Aachen, Köln, Bonn, Düsseldorf, Cologne, Germany.,Breast Center, University Hospital of Bonn, Bonn, Germany
| | - Christina Kaiser
- Center of Integrated Oncology Aachen, Köln, Bonn, Düsseldorf, Cologne, Germany.,Breast Center, University Hospital of Bonn, Bonn, Germany
| | - Alexander Mustea
- Center of Integrated Oncology Aachen, Köln, Bonn, Düsseldorf, Cologne, Germany.,Department of Gynecology & Gynecologic Oncology, University Hospital of Bonn, Bonn, Germany
| | - Andree Faridi
- Center of Integrated Oncology Aachen, Köln, Bonn, Düsseldorf, Cologne, Germany.,Breast Center, University Hospital of Bonn, Bonn, Germany
| | - Wolfram Malter
- Center of Integrated Oncology Aachen, Köln, Bonn, Düsseldorf, Cologne, Germany.,Department of Obstetrics & Gynecology, University Hospital of Cologne, Cologne, Germany
| | - Peter Mallmann
- Center of Integrated Oncology Aachen, Köln, Bonn, Düsseldorf, Cologne, Germany.,Department of Obstetrics & Gynecology, University Hospital of Cologne, Cologne, Germany
| | - Christian Rudlowski
- Department of Obstetrics & Gynecology, Evangelic Hospital Bergisch Gladbach, Bergisch Gladbach, Germany
| | - Oliver Zivanovic
- Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY, United States
| | - Michael R Mallmann
- Center of Integrated Oncology Aachen, Köln, Bonn, Düsseldorf, Cologne, Germany.,Department of Obstetrics & Gynecology, University Hospital of Cologne, Cologne, Germany
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Sun W, Luo A, Bian Z, Zhao B, Liu P, Wang K, Liu Y, Xie W, Wang F. Assessing the Quality of Online Health Information About Breast Cancer from Chinese Language Websites: Quality Assessment Survey. JMIR Cancer 2021; 7:e25783. [PMID: 34792471 PMCID: PMC8663447 DOI: 10.2196/25783] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 03/22/2021] [Accepted: 10/24/2021] [Indexed: 12/19/2022] Open
Abstract
Background In China, the internet has become one of the most important ways to obtain information about breast cancer. However, quantitative evaluations of the quality of Chinese health websites and the breast cancer treatment information they publish are lacking. Objective This study aimed to evaluate the quality of Chinese breast cancer websites and the value, suitability, and accuracy of the breast cancer treatment information they publish. Methods Chinese breast cancer health websites were searched and manually screened according to their Alexa and Baidu search engine rankings. For each website included in the survey, which was conducted on April 8, 2019, the three most recently published papers on the website that met the inclusion criteria were included for evaluation. Three raters assessed all materials using the LIDA, DISCERN, and Suitability Assessment of Materials (SAM) tools and the Michigan Checklist. Data analysis was completed with the Statistical Package for Social Sciences (SPSS) version 20.0 and Microsoft Excel 2010. Results This survey included 20 Chinese breast cancer websites and 60 papers on breast cancer treatment. The LIDA tool was used to evaluate the quality of the 20 websites. The LIDA’s scores of the websites (mean=54.85, SD 3.498; total possible score=81) were low. In terms of the layout, color scheme, search facility, browsing facility, integration of nontextual media, submission of comments, declaration of objectives, content production method, and robust method, more than half of the websites scored 0 (never) or 1 (sometimes). For the online breast cancer treatment papers, the scores were generally low. Regarding suitability, 32 (53.33%) papers were evaluated as presenting unsuitable material. Regarding accuracy, the problems were that the papers were largely not original (44/60, 73%) and lacked references (46/60, 77%). Conclusions The quality of Chinese breast cancer websites is poor. The color schemes, text settings, user comment submission functions, and language designs should be improved. The quality of Chinese online breast cancer treatment information is poor; the information has little value to users, and pictorial information is scarcely used. The online breast cancer treatment information is accurate but lacks originality and references. Website developers, governments, and medical professionals should play a full role in the design of health websites, the regulation of online health information, and the use of online health information.
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Affiliation(s)
- Weiwei Sun
- School of Health Management, Bengbu Medical College, Bengbu, China
| | - Aijing Luo
- The Second Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Medical Information Research, College of Hunan Province, Central South University, Changsha, China
| | - Zhiwei Bian
- School of Health Management, Bengbu Medical College, Bengbu, China
| | - Bin Zhao
- School of Health Management, Bengbu Medical College, Bengbu, China
| | - Peng Liu
- School of Health Management, Bengbu Medical College, Bengbu, China
| | - Kai Wang
- School of Health Management, Bengbu Medical College, Bengbu, China
| | - Yuwen Liu
- School of Health Management, Bengbu Medical College, Bengbu, China
| | - Wenzhao Xie
- Key Laboratory of Medical Information Research, College of Hunan Province, Central South University, Changsha, China.,The Third Xiangya Hospital, Central South University, Cahngsha, China
| | - Fuzhi Wang
- School of Health Management, Bengbu Medical College, Bengbu, China
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Song X, Liu C, Zhang Y. Chinese College Students’ Source Selection and Use in Searching for Health-related Information Online. Inf Process Manag 2021. [DOI: 10.1016/j.ipm.2021.102489] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Li Y, Zhou X, Zhou Y, Mao F, Shen S, Lin Y, Zhang X, Chang TH, Sun Q. Evaluation of the quality and readability of online information about breast cancer in China. PATIENT EDUCATION AND COUNSELING 2021; 104:858-864. [PMID: 32988687 DOI: 10.1016/j.pec.2020.09.012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 08/10/2020] [Accepted: 09/12/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVE This study aimed at evaluating the quality and readability of online information about breast cancer written in Chinese. METHODS An Internet search was conducted for "breast cancer" in Chinese using the Baidu search engine. Website quality was evaluated using the DISCERN instrument, and readability was evaluated using the Chinese Readability Index Explorer (CRIE). Higher DISCERN score indicated higher quality of websites, while higher CRIE score indicated lower readability of the content of the websites. We also investigated the effects of website producer category, and the associations of search engine ranking with DISCERN and CRIE scores. RESULTS A total of 49 websites were included. The mean overall DISCERN score was 50.27 ± 4.14, and the mean CRIE score was 6.78 ± 0.16. Websites produced by non-profit organizations had the highest overall DISCERN scores, while those produced by private individuals had the lowest CRIE scores. Search engine ranking had no significant correlation with website quality or readability. CONCLUSIONS The quality and readability of breast cancer websites in Chinese were not satisfactory, and they varied among different website producer categories. PRACTICE IMPLICATIONS Website producers should seek to provide more accurate, comprehensive, and easy-to-understand information to better meet the needs of breast cancer patients. In addition, search engines should revise algorithms to promote websites with higher quality and accessibility.
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Affiliation(s)
- Yan Li
- Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, PR China
| | - Xingtong Zhou
- Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, PR China
| | - Yidong Zhou
- Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, PR China
| | - Feng Mao
- Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, PR China
| | - Songjie Shen
- Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, PR China
| | - Yan Lin
- Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, PR China
| | - Xiaohui Zhang
- Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, PR China
| | - Tao-Hsing Chang
- Department of Computer Science and Information Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
| | - Qiang Sun
- Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, PR China.
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Ma Q, Sun D, Cui F, Zhai Y, Zhao J, He X, Shi J, Gao J, Li M, Zhang W. Impact of the Internet on Medical Decisions of Chinese Adults: Longitudinal Data Analysis. J Med Internet Res 2020; 22:e18481. [PMID: 32880581 PMCID: PMC7499166 DOI: 10.2196/18481] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 08/04/2020] [Accepted: 08/10/2020] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND The internet has caused the explosive growth of medical information and has greatly improved the availability of medical knowledge. This makes the internet one of the main ways for residents to obtain medical information and knowledge before seeking medical treatment. However, little has been researched on how the internet affects medical decisions. OBJECTIVE The purpose of this study was to explore the associations between internet behaviors and medical decisions among Chinese adults aged 18 or over, including whether to go to the hospital and which level of medical institution to choose. METHODS With the adult residents (≥18 years old) in 12 regions including urban and rural areas taken as the research objects, the differences in medical choices of adults with various characteristics were analyzed, and generalized linear mixed models were adopted to analyze the longitudinal data of the China Health Nutrition Survey from 2006 to 2015. RESULTS Adult groups with different ages, genders, education levels, regions, places of residence, severities of illness and injury, years of suffering from hypertension, and history of chronic diseases showed diverse medical decisions, and the differences were statistically significant (P<.05). After controlling for these potential confounding factors and taking self-care as the reference, the probability of Chinese adults who participated in online browsing activities selecting hospital care was 0.82 (95% CI 0.69-0.98; P=.03) times that of residents who did not participate in online browsing activities. In terms of medical institution choices, adults who participated in online browsing activities were 1.86 (95% CI 1.35-2.58; P<.001) times more likely to opt for municipal medical treatment than primary care. However, the effect of online browsing on the selection probability of county-level hospitals was not significant compared with primary hospitals (P=.59). Robust analysis verified that accessing the internet had a similar effect on Chinese adults' medical decisions. CONCLUSIONS Chinese adults who use the internet are a little less likely to go to the hospital than self-care. The internet has broken down the barriers to obtain knowledge of common diseases and thus has a slight substitution effect of self-care on hospital care. Internet use may increase the probability of adults going to municipal hospitals. The rising tendency of visiting high-level medical institutions may be consequently exacerbated due to knowledge monopoly of severe and complicated diseases that is difficult to eliminate, and the increase in inconsistent and incomplete medical information online will blur the residents' cognitive boundary of common diseases and severe diseases. Exploring the substantive impact of the internet on medical decision making is of great significance for further rational planning and utilization of the internet, in order to guide patients to appropriate medical institution.
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Affiliation(s)
- Qianqian Ma
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- National Telemedicine Center of China, Zhengzhou, Henan, China
| | - Dongxu Sun
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- National Telemedicine Center of China, Zhengzhou, Henan, China
| | - Fangfang Cui
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- National Telemedicine Center of China, Zhengzhou, Henan, China
| | - Yunkai Zhai
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- National Telemedicine Center of China, Zhengzhou, Henan, China
- School of Management Engineering, Zhengzhou University, Zhengzhou, Henan, China
| | - Jie Zhao
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- National Telemedicine Center of China, Zhengzhou, Henan, China
| | - Xianying He
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- National Telemedicine Center of China, Zhengzhou, Henan, China
| | - Jinming Shi
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- National Telemedicine Center of China, Zhengzhou, Henan, China
| | - Jinghong Gao
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- National Telemedicine Center of China, Zhengzhou, Henan, China
| | - Mingyuan Li
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- National Telemedicine Center of China, Zhengzhou, Henan, China
| | - Wenjie Zhang
- National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- National Telemedicine Center of China, Zhengzhou, Henan, China
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