Renal transplant patient acceptance of a self-management support system
Open accessAbstract
BACKGROUND: Self-management support systems (SMSS) have been proposed for renal transplant patients to increase their autonomy and reduce the number of hospital visits. For the design and implementation of such systems, it is important to understand factors influencing patients' acceptance of a SMSS. This paper aims to identify these key factors. METHODS: From literature, possible factors and related questionnaire items were identified. Afterwards, focus groups with experts and patients were conducted to adapt the items to the application domain. To investigate acceptance of a SMSS and the influencing factors, fifty renal transplant patients answered the questionnaire before and after using the SMSS for 4 months. RESULTS: All the questionnaire constructs had a satisfactory or higher level of reliability. After using the SMSS for 4 months, trust and performance expectancy could explain part of the variation in behavioural intention of using the SMSS, but not beyond the explanation given by patients' affect towards the system, which accounted for 26% of the variance. CONCLUSIONS: We anticipate that in future caregivers implementing a SMSS will benefit from taking steps to improve patients' affect as this was found to correlate with patients use intention. TRIAL REGISTRATION: The study was registered in ToetsingOnline, a registry held by the Dutch Central Committee on Research Involving Human Subjects. The registration number is NL33387.058.11 , and the date of registration is 31st July 2012.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Wang et al. found that positive feelings about the system outperformed traditional factors when explaining behavioral use among renal patients using a self-management support system.
“Wang et al. [41] also found that the positive feelings about the system outperformed these traditional factors when explaining behavioral use among renal patients using a self-management support system.”
From Factors Affecting User’s Behavioral Intention and Use of a Mobile-Phone-Delivered Cognitive Behavioral Therapy for Insomnia: A Small-Scale UTAUT Analysis (2021) · cites this paper as [41]
The Discussion reports that patients’ affect explained more variation in their behavioural intention to use the system than trust or performance expectancy. The cited finding concerns intention after four months of use, not actual behavioural use, as the claim states. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587 · see citing works
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483 · see citing works
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925 · see citing works
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737 · see citing works
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709 · see citing works
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066 · see citing works
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057 · see citing works
Missing data: our view of the state of the art
Schafer, J. L., & Graham, J. W. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.2.147 · Cited by 11,638 · see citing works
Applied Multivariate Statistics for the Social Sciences
Stevens, J. P. (2012) · Routledge eBooks · doi:10.4324/9780203843130 · Cited by 10,652 · see citing works
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815 · see citing works
Trust and TAM in Online Shopping: An Integrated Model1
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · MIS Quarterly · doi:10.2307/30036519 · Cited by 8,635 · see citing works
Technology Acceptance Model 3 and a Research Agenda on Interventions
Venkatesh, V., & Bala, H. (2008) · Decision Sciences · doi:10.1111/j.1540-5915.2008.00192.x · Cited by 8,159 · cited 3× · see citing works
“The most well-known models or theories that have been used to explain peoples’ acceptance of technology are the theory of reasoned action (TRA) [10], the theory of planned behaviour (TPB) [11], the technology acceptance model (TAM) [12], and their extensions, such as TAM2 [26], the unified theory of acceptance and use…”
BackgroundComputer Self-Efficacy: Development of a Measure and Initial Test
Compeau, D. R., & Higgins, C. A. (1995) · MIS Quarterly · doi:10.2307/249688 · Cited by 6,553 · see citing works
Chronic kidney disease: global dimension and perspectives
Jha, V., Garcia-Garcia, G., Iseki, K., Li, Z., Naicker, S., Plattner, B., Saran, R., Wang, A. Y.-M., & Yang, C.-W. (2013) · The Lancet · doi:10.1016/s0140-6736(13)60687-x · Cited by 4,383 · see citing works
Why do people use information technology? A critical review of the technology acceptance model
Legris, P., Ingham, J., & Collerette, P. (2003) · Information & Management · doi:10.1016/s0378-7206(01)00143-4 · Cited by 4,250 · see citing works
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216 · see citing works
Personal Computing: Toward a Conceptual Model of Utilization1
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991) · MIS Quarterly · doi:10.2307/249443 · Cited by 3,814 · see citing works
A meta-analysis of the technology acceptance model
King, W. R., & He, J. (2006) · Information & Management · doi:10.1016/j.im.2006.05.003 · Cited by 2,906 · see citing works
Assessing IT Usage: The Role of Prior Experience
Taylor, S., & Todd, P. (1995) · MIS Quarterly · doi:10.2307/249633 · Cited by 2,891 · see citing works
Self-management approaches for people with chronic conditions: a review
Barlow, J., Wright, C., Sheasby, J., Turner, A., & Hainsworth, J. (2002) · Patient Education and Counseling · doi:10.1016/s0738-3991(02)00032-0 · Cited by 2,800 · see citing works
Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study1
Compeau, D., Higgins, C. A., & Huff, S. L. (1999) · MIS Quarterly · doi:10.2307/249749 · Cited by 2,534 · see citing works
Bootstrap confidence intervals
DiCiccio, T. J., & Efron, B. (1996) · Statistical Science · doi:10.1214/ss/1032280214 · Cited by 2,286 · see citing works
Allison, P. (2002) · doi:10.4135/9781412985079 · Cited by 2,050 · see citing works
Why do people play on-line games? An extended TAM with social influences and flow experience
Hsu, C., & Lu, H. (2003) · Information & Management · doi:10.1016/j.im.2003.08.014 · Cited by 2,016 · see citing works
Systematic Review: Kidney Transplantation Compared With Dialysis in Clinically Relevant Outcomes
Tonelli, M. A., Wiebe, N., Knoll, G. A., Bello, A. K., Browne, S., Jadhav, D., Klarenbach, S. W., & Gill, J. (2011) · American Journal of Transplantation · doi:10.1111/j.1600-6143.2011.03686.x · Cited by 1,745 · see citing works
A theory of reasoned action: some applications and implications.
Fishbein, M. (1980) · PubMed · Cited by 1,354 · see citing works
Burkhardt, M. E., & Brass, D. J. (1990) · Administrative Science Quarterly · doi:10.2307/2393552 · Cited by 947 · see citing works
Hill, T., Smith, N. D., & Mann, M. F. (1987) · Journal of Applied Psychology · doi:10.1037/0021-9010.72.2.307 · Cited by 797 · see citing works
Kim, J., & Park, H.-A. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2143 · Cited by 475 · see citing works
Internet-Based Chronic Disease Self-Management: A Randomized Trial
Lorig, K. R., Ritter, P. L., Laurent, D. D., & Plant, K. (2006) · Medical Care · doi:10.1097/01.mlr.0000233678.80203.c1 · Cited by 450 · see citing works
Extending the TAM for a t-commerce
Yu, J., Ha, I., Choi, M., & Rho, J. J. (2005) · Information & Management · doi:10.1016/j.im.2004.11.001 · Cited by 446 · see citing works
Health Care Environments and Patient Outcomes
Devlin, A. S., & Arneill, A. B. (2003) · Environment and Behavior · doi:10.1177/0013916503255102 · Cited by 391 · see citing works
Ahadzadeh, A. S., Sharif, S. P., Ong, F. S., & Khong, K. W. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3564 · Cited by 368 · see citing works
A randomized controlled trial of an automated exercise coach for older adults
Bickmore, T. W., Silliman, R. A., Nelson, K., Cheng, D. M., Winter, M., Henault, L., & Paasche‐Orlow, M. K. (2013) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12449 · Cited by 305 · see citing works
Maintaining reality: Relational agents for antipsychotic medication adherence
Bickmore, T. W., Puskar, K., Schlenk, E. A., Pfeifer, L. M., & Sereika, S. M. (2010) · Interacting with Computers · doi:10.1016/j.intcom.2010.02.001 · Cited by 213 · see citing works
Automated interventions for multiple health behaviors using conversational agents
Bickmore, T. W., Schulman, D., & Sidner, C. (2013) · Patient Education and Counseling · doi:10.1016/j.pec.2013.05.011 · Cited by 206 · see citing works
Applying Theory Of Perceived Risk And Technology Acceptance Model In The Online Shopping Channel
Li, Y.-H., & Huang, J. (2009) · doi:10.5281/zenodo.1085602 · Cited by 190 · see citing works
Mckay, H., Glasgow, R. E., Feil, E. G., Boles, S., & Manuel, J. B. (2002) · Rehabilitation Psychology · doi:10.1037//0090-5550.47.1.31 · Cited by 158 · see citing works
Petkov, J., Harvey, P. W., & Battersby, M. (2010) · Quality of Life Research · doi:10.1007/s11136-010-9661-1 · Cited by 145 · see citing works
McKay, H. G., Glasgow, R. E., Feil, E. G., Boles, S. M., & Barrera, M. (2002) · Rehabilitation Psychology · doi:10.1037/0090-5550.47.1.31 · Cited by 145 · see citing works
Cheung, C. M. K., & Lee, M. (2002) · Advances in global information management (AGIM) book series · doi:10.4018/978-1-930708-43-3.ch003 · Cited by 143 · see citing works
Agarwal, R., Anderson, C. L., Zarate, J., & Ward, C. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2243 · Cited by 116 · see citing works
Are People With Chronic Diseases Interested in Using Telehealth? A Cross-Sectional Postal Survey
Edwards, L., Thomas, C., Gregory, A. C., Yardley, L., O’Cathain, A., Montgomery, A. A., & Salisbury, C. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3257 · Cited by 115 · see citing works
A game a day keeps the doctor away: a short review of computer games in mental healthcare.
Gamberini, L., Barresi, G., Maier, A., & Scarpetta, F. (2008) · Padua Research Archive (University of Padova) · Cited by 74 · see citing works
Kansei /affective engineering design
Dahlgaard, J. J., Schütte, S., Ayas, E., & Dahlgaard‐Park, S. M. (2008) · The TQM Journal · doi:10.1108/17542730810881294 · Cited by 58 · see citing works
Gilbert, M., Salway, T. J., Kerr, T. H., Taylor, D., Fairley, C. K., Lester, R. T., Wong, T., Trussler, T., Marchand, R., Shoveller, J., et al. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2888 · Cited by 58 · see citing works
Trust in Internet Shopping: A Proposed Model and Measurement Instrument
Cheung, C., & Lee, M. K. O. (2000) · Journal of the Association for Information Systems · Cited by 58 · see citing works
Lui, H. K., & Jamieson, R. (2003) · Journal of the Association for Information Systems · Cited by 30 · see citing works
Affective design of waiting areas in primary healthcare
Ayas, E., Eklund, J., & Ishihara, S. (2008) · The TQM Journal · doi:10.1108/17542730810881366 · Cited by 29 · see citing works
An Extended TAM for Analyzing Adoption Behavior of Mobile Commerce
Sun, Q., Wang, C., & Cao, H. (2009) · International Conference on Mobile Business · doi:10.1109/icmb.2009.16 · Cited by 28 · see citing works
Wheeler, L., & Birren, F. (1980) · Leonardo · doi:10.2307/1578123 · Cited by 24 · see citing works
Simon, A. C. R., Gude, W. T., Holleman, F., Hoekstra, J. B. L., & Peek, N. B. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3198 · Cited by 17 · see citing works
The Patient Technology Acceptance Model (PTAM) for Homecare Patients with Chronic Illness
Calvin, K. L., & Karsh, B. (2006) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120605001040 · Cited by 16 · see citing works
Acceptance of e-Health Technology: A Patient Perspective
Beenkens, F. (2011) · Research Repository (Delft University of Technology) · Cited by 11 · see citing works
Phau, I., Teah, M., & Lwin, M. (2009) · eSpace (Curtin University) · Cited by 4 · see citing works
The Patient Technology Acceptance Model (PTAM) for homecare patients with chronic illness
Karsh, B., & Or, C. (2006) · The HKU Scholars Hub (University of Hong Kong) · Cited by 2 · see citing works
Flagged first, then by citations
2 of the 59 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- [57]Sanches P, Kosmack Vaara E, Sjölinder M, Weymann C, Höök K. Affective Health–designing for empowerment rather than stress diagnosis. Know thyself: monitoring and reflecting on facets of one's life at CHI 2010, Atlanta, GA, USA. 2010.
Cited by
Sorted by citations
Psychological and Psychopathological Aspects of Kidney Transplantation: A Systematic Review
Pasquale, C. D., Pistorio, M. L., Veroux, M., Indelicato, L., Biffa, G., Bennardi, N., Zoncheddu, P., Martinelli, V., Giaquinta, A., & Veroux, P. (2020) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2020.00106 · Cited by 124 · see citing works
Sobrinho, A., da Silva, L. D., Perkusich, Â., Pinheiro, M. E., & Cunha, P. (2018) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-018-0587-9 · Cited by 77 · see citing works
Effectiveness of myAirCoach: A mHealth Self-Management System in Asthma
Khusial, R., Honkoop, P., Usmani, O. S., Soares, M., Simpson, A., Biddiscombe, M. F., Meah, S., Bonini, M., Lalas, A. X., Polychronidou, E., et al. (2020) · The Journal of Allergy and Clinical Immunology In Practice · doi:10.1016/j.jaip.2020.02.018 · Cited by 76 · see citing works
Fitrianie, S., Horsch, C., Beun, R. J., Griffioen-Both, F., & Brinkman, W.-P. (2021) · Journal of Medical Systems · doi:10.1007/s10916-021-01785-w · Cited by 57 · see citing works
“[41] used data obtained in the context of a trial.”
BackgroundMethodInfluentialSelf-citationDuettmann, W., Naik, M. G., Zukunft, B., Osmonodja, B., Bachmann, F., Choi, M., Roller, R., Mayrdorfer, M., Halleck, F., Schmidt, D., et al. (2020) · Transplant International · doi:10.1111/tri.13778 · Cited by 45 · see citing works
Ruissen, M. M., Torres-Peña, J. D., Uitbeijerse, B. S., Arenas de Larriva, A. P., Huisman, S. D., Namli, T., Salzsieder, E., Vogt, L., Ploessnig, M., van der Putte, B., et al. (2023) · Diabetologia · doi:10.1007/s00125-023-06006-2 · Cited by 43 · see citing works
eHealth literacy and web‐based patient portal usage among kidney and liver transplant recipients
Maroney, K., Curtis, L. M., Opsasnick, L. A., Smith, K., Eifler, M. R., Moore, A., Wedd, J. P., Wolf, M. S., & Patzer, R. E. (2020) · Clinical Transplantation · doi:10.1111/ctr.14184 · Cited by 33 · see citing works
Telemedicine for Kidney Transplant Recipients: Current State, Advantages, and Barriers
Hezer, B., Massey, E. K., Reinders, M. E. J., Tielen, M., van de Wetering, J., Hesselink, D. A., & van den Hoogen, M. W. F. (2023) · Transplantation · doi:10.1097/tp.0000000000004660 · Cited by 26 · see citing works
Self-Monitoring Kidney Function Post Transplantation: Reliability of Patient-Reported Data
van Lint, C., Wang, W., van Dijk, S., Brinkman, W., Rövekamp, T., Neerincx, M. A., Rabelink, T. J., & van der Boog, P. J. M. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7542 · Cited by 15 · see citing works
Self-citationMollazadeh, F., & Maslakpak, M. H. (2018) · PubMed Central · Cited by 15 · see citing works
Using Facebook in Recruiting Kidney Transplant Recipients for a REDCap Study
Chung, S.-Y., Hacker, E. D., Rawl, S. M., Ellis, R., Bakas, T., Jones, J., & Welch, J. L. (2019) · Western Journal of Nursing Research · doi:10.1177/0193945919832600 · Cited by 14 · see citing works
Abtahi, H., Safdari, R., & Gholamzadeh, M. (2022) · BMC Family Practice · doi:10.1186/s12875-022-01766-z · Cited by 13 · see citing works
What should I do?: Deriving norms from actions,values and context
Tielman, M. L., Jonker, C. M., & van Riemsdijk, M. B. (2018) · Data Archiving and Networked Services (DANS) · Cited by 11 · see citing works
A critical look at the U.S. deceased‐donor organ procurement and utilization system
Ersoy, O. C., Gupta, D., & Pruett, T. L. (2020) · Naval Research Logistics (NRL) · doi:10.1002/nav.21924 · Cited by 8 · see citing works
Massierer, D., Sapir‐Pichhadze, R., Bouchard, V., Dasgupta, K., Fernández, N., Costa, D. D., Ahmed, S., Fortin, M., Langevin, R., Mayo, N. E., et al. (2019) · JMIR Research Protocols · doi:10.2196/13420 · Cited by 7 · see citing works
Wang, W., van Lint, C. L., Brinkman, W., Rövekamp, T., van Dijk, S., van der Boog, P., & Neerincx, M. A. (2019) · Health and Technology · doi:10.1007/s12553-019-00295-7 · Cited by 6 · see citing works
Self-citationYABAN, Z. Ş., & Bülbüloğlu, S. (2024) · Journal of Personalized Medicine · doi:10.3390/jpm14090999 · Cited by 4 · see citing works
Lin, K., Wei, C., Li, J., Guo, X., Gao, F., Zhao, P., & Liu, H. (2023) · BMC Nursing · doi:10.1186/s12912-023-01269-x · Cited by 1 · see citing works
The multidimensional kidney transplant self-management scale : development and psychometric testing
Chung, S.-Y. (2018) · IUScholarWorks (Indiana University) · doi:10.7912/c24m2n
Hou, I., & Chung, T.-Y. (2020) · JMIR Formative Research · doi:10.2196/26087
Brevi note sulla distribuzione selettiva alla luce del nuovo regolamento di esenzione per categoria
Pecchioli, N. (2001) · Rivista italiana di diritto pubblico comunitario
Donahue, S. L., Kalam, E., & Cukor, D. (2022) · Springer eBooks · doi:10.1007/978-3-031-11942-2_5
ERDEM, Ç., & Cebeci, F. (2023) · Journal of Education and Health Promotion · doi:10.4103/jehp.jehp_1368_22
Awadhi, S. A., Ismail, M., Bobart, S. A., Shireman, P. K., Axelrod, D. A., & Waterman, A. D. (2025) · Current Transplantation Reports · doi:10.1007/s40472-025-00491-7
Jia, Y., Guo, S., Yang, X., Lin, X., Fang, J., Dong, L., Li, X. J., Sun, H., Yu, W., & Liu, H. (2025) · doi:10.2196/preprints.84139
Abtahi, H., Safdari, R., & Gholamzadeh, M. (2022) · Figshare · doi:10.6084/m9.figshare.20206420
Abtahi, H., Safdari, R., & Gholamzadeh, M. (2022) · Figshare · doi:10.6084/m9.figshare.20206423
Jia, Y., Guo, S., Yang, X., Lin, X., Fang, J., Dong, L., Li, X. J., Sun, H., Yu, W., & Liu, H. (2026) · JMIR Medical Informatics · doi:10.2196/84139
Wang, Y., Chen, X., & Tan, Q. (2026) · Transplantation Proceedings · doi:10.1016/j.transproceed.2026.03.008 · Cited by 1 · see citing works
Meulmeester, F. L., Paanakker, F., ten Have, L., de Jong, K., Brinke, A. T., Sont, J. K., & Fieten, K. B. (2026) · Respiratory Medicine · doi:10.1016/j.rmed.2026.109191
- Authors
- Wang, W., van Lint, C. L., Brinkman, W.-P., Rövekamp, T. J. M., van Dijk, S., van der Boog, P. J. M., & Neerincx, M. A.
- Affiliations
- Netherlands Organisation for Applied Scientific Research (NL)
- Delft University of Technology (NL)
- Corresponding author
- Wang, Wenxin
- Venue
- BMC Medical Informatics and Decision Making
- Published
- 2017-05-08
- Volume
- 17
- Issue
- 1
- Pages
- 58-58
- ISSN
- 1472-6947 (ISSN-L)
- PMC
- PMC5423007
- OpenAlex
- W2612105811
- Cited by
- 30
- References
- 59
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 1 · 2023: 4 · 2022: 4 · 2021: 1 · 2020: 6 · 2019: 3 · 2018: 4 · 2017: 1
- FWCI
- 6.21
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BMC Medical Informatics and Decision Making (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion, cc-by)
- TNO Repository (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Repository hosted by TU Delft Library (TU Delft) (submittedVersion)
- Research Repository (Delft University of Technology) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- ZonMw (300040004)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Keywords
- renal transplant patients, technology acceptance, patient acceptance, trust, performance expectancy, behavioral intention, patient autonomy, hospital visit reduction
- MeSH terms
- Self-Management, Adult, Aged, Female, Humans, Male, Middle Aged, Patient Acceptance of Health Care, Surveys and Questionnaires, Social Support, Kidney Transplantation, Self Efficacy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review