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Can Treatment Adherence Be Improved by Using Rubin's Four Tendencies Framework to Understand a Patient's Response to Expectations
Open accessAbstract
Within the context of poorer patient outcomes and rising healthcare costs, we need to better understand why many patients do not engage fully with their treatment plan. Movement away from talking about “compliance” towards “adherence” and “concordance” is evidence of a recognition that this is a two-way process. Whilst healthcare professionals expect patients to engage in treatment, equally, patients have expectations (whether positive or negative) of their treatment and their need for engagement. There is a need for an effective method that can specifically target those interventions that will provide the most benefit to individual patients and which, crucially, is easy and inexpensive to administer in everyday practice and widely applicable. Rubin's Four Tendencies model identifies a patient's “response to outer and inner expectations” as a key factor in adherence. The model therefore provides an opportunity to test such a targeted, patient-specific strategy and we present a call to action for research in this area.
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Cites
Assessing the quality of reports of randomized clinical trials: Is blinding necessary?
Jadad, A. R., Moore, R. A., Carroll, D., Jenkinson, C., Reynolds, D. J. M., Gavaghan, D. J., & McQuay, H. J. (1996) · Controlled Clinical Trials · doi:10.1016/0197-2456(95)00134-4 · Cited by 17,582
Efficacy of the Theory of Planned Behaviour: A meta‐analytic review
Armitage, C. J., & Conner, M. (2001) · British Journal of Social Psychology · doi:10.1348/014466601164939 · Cited by 9,970
Stages and processes of self-change of smoking: Toward an integrative model of change.
Prochaska, J. O., & DiClemente, C. C. (1983) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.51.3.390 · Cited by 9,098
In search of how people change: Applications to addictive behaviors.
Prochaska, J. O., DiClemente, C. C., & Norcross, J. C. (1992) · American Psychologist · doi:10.1037/0003-066x.47.9.1102 · Cited by 8,596
The Health Belief Model: a decade later.
Janz, N. K., & Becker, M. H. (1984) · Health Education Quarterly · doi:10.1177/109019818401100101 · Cited by 8,437
Osterberg, L., & Blaschke, T. (2005) · New England Journal of Medicine · doi:10.1056/nejmra050100 · Cited by 7,974
Schulz (1995) · doi:10.1001/jama.1995.03520290060030 · Cited by 5,634
Social Learning Theory and the Health Belief Model
Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (1988) · Health Education Quarterly · doi:10.1177/109019818801500203 · Cited by 5,564
Moher, D., Pham, B., Jones, A., Cook, D. J., Jadad, A. R., Moher, M., Tugwell, P., & Klassen, T. P. (1998) · The Lancet · doi:10.1016/s0140-6736(98)01085-x · Cited by 3,560
Making psychological theory useful for implementing evidence based practice: a consensus approach
Michie, S. (2005) · Quality and Safety in Health Care · doi:10.1136/qshc.2004.011155 · Cited by 3,440
Research works printed but not linked: 8
- 10.2147/RMHP.S19801 · DOI · Paper page
- 10.1159/000350251 · DOI
- 10.3810/pgm.2000.03.940 · DOI
- 10.1046/j.1525-1497.2002.11214.x · DOI · Paper page
- 10.1186/s40248-016-0078-8 · DOI
- 10.1016/j.jad.2017.05.018 · DOI
- 10.1155/2017/7589184 · DOI
- 10.1186/1471-2458-7-104 · DOI · Paper page
Cited by
Items 101–200 of 202
Hurtado-de-Mendoza, A., Cabling, M. L., Lobo, T., Dash, C., & Sheppard, V. B. (2016) · Clinical Breast Cancer · doi:10.1016/j.clbc.2016.03.006 · Cited by 79
How to Screen for Non-Adherence to Antihypertensive Therapy
Gupta, P., Patel, P., Horne, R., Buchanan, H., Williams, B., & Tomaszewski, M. (2016) · Current Hypertension Reports · doi:10.1007/s11906-016-0697-7 · Cited by 84
Experiences of a Motivational Interview Delivered by a Robot: Qualitative Study
Galvão Gomes da Silva, J., Kavanagh, D. J., Belpaeme, T., Taylor, L., Beeson, K., & Andrade, J. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.7737 · Cited by 83
Hasan, A., Wolff-Menzler, C., Pfeiffer, S., Falkai, P., Weidinger, E., Jobst, A., Hoell, I., Malchow, B., Yeganeh-Doost, P., Strube, W., et al. (2015) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-015-0618-9 · Cited by 80
Interventions to increase adherence to acne treatment
Moradi Tuchayi, S., Alexander, T., Nadkarni, A., & Feldman, S. R. (2016) · Patient Preference and Adherence · doi:10.2147/ppa.s117437 · Cited by 78
Tseng, T.-Y., Krebs, P., Schoenthaler, A., Wong, S., Sherman, S., Gonzalez, M., Urbina, A., Cleland, C. M., & Shelley, D. (2017) · AIDS and Behavior · doi:10.1007/s10461-016-1538-z · Cited by 69
Feasibility of an eHealth Service to Support Collaborative Depression Care: Results of a Pilot Study
Meglic, M., Furlan, M., Kuzmanic, M., Kozel, D., Baraga, D., Kuhar, I., Kosir, B., Iljaz, R., Novak Sarotar, B., Dernovsek, M. Z., et al. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1510 · Cited by 71
Deng, M., Zhai, S., Ouyang, X., Liu, Z., & Ross, B. (2022) · BMC Psychiatry · doi:10.1186/s12888-021-03681-6 · Cited by 75
Bright, E. E., Finkelstein, L. B., Nealis, M. S., Genung, S. R., Wrigley, J., Gu, H. C. J., Schmiege, S. J., & Arch, J. J. (2023) · Journal of Clinical Oncology · doi:10.1200/jco.23.00697 · Cited by 74
Kiwanuka, T. S., Ononge, S., Kiondo, P., & Namusoke, F. (2017) · BMC Research Notes · doi:10.1186/s13104-017-2834-z · Cited by 73
Liu, F., Song, T., Yu, P., Deng, N., Guan, Y., Yang, Y., & Ma, Y. (2023) · Journal of Medical Internet Research · doi:10.2196/43809 · Cited by 72
Abebe, S. M., Berhane, Y., Worku, A., Alemu, S., & Mesfin, N. (2015) · Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy · doi:10.2147/dmso.s75467 · Cited by 68
Hennein, R., Hwang, S., Au, R., Levy, D., Muntner, P., Fox, C. S., & Ma, J. (2018) · Internal Medicine Journal · doi:10.1111/imj.13687 · Cited by 67
Temporal effectiveness of interventions to improve medication adherence: a network meta-analysis
Wiecek, E., Tonin, F. S., Torres-Robles, A., Benrimoj, S. I., Fernandez-Llimos, F., & Garcia-Cardenas, V. (2019) · PLOS ONE · doi:10.1371/journal.pone.0213432 · Cited by 67
Zaugg, V., Korb-Savoldelli, V., Durieux, P., & Sabatier, B. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012042.pub2 · Cited by 61
Medication management support in diabetes: a systematic assessment of diabetes self-management apps
Huang, Z., Lum, E., Jimenez, G., Semwal, M., Sloot, P., & Car, J. (2019) · BMC Medicine · doi:10.1186/s12916-019-1362-1 · Cited by 66
Chen, C., Johnson, J. G., Charles, K., Lee, A., Lifset, E. T., Hogarth, M., Moore, A. A., Farcas, E., & Weibel, N. (2021) · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3441852.3471218 · Cited by 67
The challenges of using medication event monitoring technology with pediatric transplant patients
Shellmer, D. A., & Zelikovsky, N. (2007) · Pediatric Transplantation · doi:10.1111/j.1399-3046.2007.00681.x · Cited by 65
Linkages between anxiety and outcomes in heart failure
De Jong, M. J., Chung, M. L., Wu, J.-R., Riegel, B., Rayens, M. K., & Moser, D. K. (2011) · Heart & Lung · doi:10.1016/j.hrtlng.2011.02.002 · Cited by 65
Seid, M., D'Amico, E. J., Varni, J. W., Munafo, J. K., Britto, M. T., Kercsmar, C. M., Drotar, D., King, E. C., & Darbie, L. (2012) · Journal of Pediatric Psychology · doi:10.1093/jpepsy/jsr107 · Cited by 62
Dias, C., Abosaleem, B., Crispino, C., Gao, B., & Shaywitz, A. (2015) · AAPS PharmSciTech · doi:10.1208/s12249-015-0288-y · Cited by 63
Patient-centered priorities for improving medication management and adherence
McMullen, C. K., Safford, M. M., Bosworth, H. B., Phansalkar, S., Leong, A., Fagan, M. B., Trontell, A., Rumptz, M., Vandermeer, M. L., Brinkman, W. B., et al. (2015) · Patient Education and Counseling · doi:10.1016/j.pec.2014.09.015 · Cited by 58
Beauchemin, M., Gradilla, M., Baik, D., Cho, H., & Schnall, R. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2018.11.012 · Cited by 58
Medicine shortages in Fiji: A qualitative exploration of stakeholders’ views
Walker, J., Chaar, B. B., Vera, N., Pillai, A. S., Lim, J. S., Bero, L., & Moles, R. J. (2017) · PLOS ONE · doi:10.1371/journal.pone.0178429 · Cited by 57
Motivational interviewing for substance use reduction
Schwenker, R., Dietrich, C. E., Hirpa, S., Nothacker, M., Smedslund, G., Frese, T., & Unverzagt, S. (2023) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008063.pub3 · Cited by 56
Demis, A., Geda, B., Alemayehu, T., & Abebe, H. (2019) · BMC Research Notes · doi:10.1186/s13104-019-4142-2 · Cited by 53
Internet-Based Interventions in Chronic Somatic Disease
Bendig, E., Bauereiß, N., Ebert, D. D., Snoek, F., Andersson, G., & Baumeister, H. (2018) · Deutsches Ärzteblatt international · doi:10.3238/arztebl.2018.0659 · Cited by 54
Psychosocial interventions for the diabetic patient
Harvey, J. (2015) · Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy · doi:10.2147/dmso.s44352 · Cited by 52
Stein Gold, L., Baldwin, H., Kircik, L. H., Weiss, J. S., Pariser, D. M., Callender, V., Lain, E., Gold, M., Beer, K., Draelos, Z., et al. (2022) · American Journal of Clinical Dermatology · doi:10.1007/s40257-021-00650-3 · Cited by 51
Bobrow, K., Farmer, A., Cishe, N., Nwagi, N., Namane, M., Brennan, T. P., Springer, D., Tarassenko, L., & Levitt, N. (2018) · BMC Health Services Research · doi:10.1186/s12913-017-2808-9 · Cited by 46
Gallagher, B. D., Muntner, P., Moise, N., Lin, J. J., & Kronish, I. M. (2015) · Journal of Hypertension · doi:10.1097/hjh.0000000000000503 · Cited by 50
Falagas, M. E., Karagiannis, A. K. A., Nakouti, T., & Tansarli, G. S. (2015) · PLOS ONE · doi:10.1371/journal.pone.0116207 · Cited by 48
Chan, A. H. Y., Foot, H., Pearce, C. J., Horne, R., Foster, J. M., & Harrison, J. (2022) · PLOS ONE · doi:10.1371/journal.pone.0265715 · Cited by 47
Clement, J., & Maldonado, A. Q. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.694222 · Cited by 48
Abughosh, S. M., Vadhariya, A., Johnson, M. L., Essien, E. J., Esse, T. W., Serna, O., Gallardo, E., Boklage, S. H., Choi, J., Holstad, M. M., et al. (2019) · Journal of Managed Care & Specialty Pharmacy · doi:10.18553/jmcp.2019.25.10.1053 · Cited by 46
Brar Prayaga, R., Agrawal, R., Nguyen, B., Jeong, E. W., Noble, H. K., Paster, A., & Prayaga, R. S. (2019) · JMIR mHealth and uHealth · doi:10.2196/15771 · Cited by 45
mHealth intervention to support asthma self-management in adolescents: the ADAPT study
Kosse, R. C., Bouvy, M., de Vries, T., Kaptein, A., Geers, H. C. J., van Dijk, L., & Koster, E. (2017) · Patient Preference and Adherence · doi:10.2147/ppa.s124615 · Cited by 45
Schuman-Olivier, Z., Borodovsky, J. T., Steinkamp, J., Munir, Q., Butler, K., Greene, M. A., Goldblatt, J., Xie, H. Y., & Marsch, L. A. (2018) · Addiction Science & Clinical Practice · doi:10.1186/s13722-018-0122-4 · Cited by 44
Validation of EHR medication fill data obtained through electronic linkage with pharmacies
Blecker, S., Adhikari, S., Zhang, H., Dodson, J. A., Desai, S. M., Anzisi, L., Pazand, L., Schoenthaler, A. M., & Mann, D. M. (2021) · Journal of Managed Care & Specialty Pharmacy · doi:10.18553/jmcp.2021.27.10.1482 · Cited by 44
Nabi, H., Vahtera, J., Singh-Manoux, A., Pentti, J., Oksanen, T., Gimeno, D., Elovainio, M., Virtanen, M., Klaukka, T., & Kivimaki, M. (2008) · Journal of Hypertension · doi:10.1097/hjh.0b013e32830dfe5f · Cited by 43
Huber, C. A., & Reich, O. (2016) · Patient Preference and Adherence · doi:10.2147/ppa.s115425 · Cited by 42
Improving drug adherence in osteoporosis: an update on more recent studies
Jaleel, A., Saag, K. G., & Danila, M. I. (2018) · Therapeutic Advances in Musculoskeletal Disease · doi:10.1177/1759720x18785539 · Cited by 42
Moncrieff, J., Gupta, S., & Horowitz, M. A. (2020) · Therapeutic Advances in Psychopharmacology · doi:10.1177/2045125320937910 · Cited by 43
Austin, J., Klein, K., Mattek, N., & Kaye, J. (2017) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2017.02.003 · Cited by 41
Edmondson, D., Falzon, L., Sundquist, K. J., Julian, J., Meli, L., Sumner, J. A., & Kronish, I. M. (2018) · Behaviour Research and Therapy · doi:10.1016/j.brat.2017.10.001 · Cited by 39
Positive affect and medication adherence in chronic conditions: A systematic review.
Bassett, S. M., Schuette, S. A., O'Dwyer, L. C., & Moskowitz, J. T. (2019) · Health Psychology · doi:10.1037/hea0000778 · Cited by 40
Dwibedi, N., Findley, P. A., Wiener R, C., Shen, C., & Sambamoorthi, U. (2018) · Medical Care · doi:10.1097/mlr.0000000000000869 · Cited by 39
Woelber, J. P., Spann-Aloge, N., Hanna, G., Fabry, G., Frick, K., Brueck, R., Jähne, A., Vach, K., & Ratka-Krüger, P. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.00254 · Cited by 39
Medication Nonadherence After Lung Transplantation in Adult Recipients
Castleberry, A. W., Bishawi, M., Worni, M., Erhunmwunsee, L., Speicher, P. J., Osho, A. A., Snyder, L. D., & Hartwig, M. G. (2017) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2016.06.067 · Cited by 39
Arita, V. A., Cabezas, M. C., Hernández Vargas, J. A., Trujillo-Cáceres, S. J., Mendez Pernicone, N., Bridge, L. A., Raeisi-Dehkordi, H., Dietvorst, C. A. W., Dekker, R., Uriza-Pinzón, J. P., et al. (2025) · BMC Medicine · doi:10.1186/s12916-025-04320-7 · Cited by 43
Bruxvoort, K., Festo, C., Cairns, M., Kalolella, A., Mayaya, F., Kachur, S. P., Schellenberg, D., & Goodman, C. (2015) · PLOS ONE · doi:10.1371/journal.pone.0134275 · Cited by 37
Banek, K., Webb, E. L., Smith, S. J., Chandramohan, D., & Staedke, S. G. (2018) · Malaria Journal · doi:10.1186/s12936-018-2370-x · Cited by 25
Senoo, K., Miki, T., Ohkura, T., Iwakoshi, H., Nishimura, T., Shiraishi, H., Teramukai, S., & Matoba, S. (2022) · JMIR mHealth and uHealth · doi:10.2196/30807 · Cited by 36
Rana, J. S., Virani, S. S., Moffet, H. H., Liu, J. Y., Coghlan, L. A., Vasadia, J., Ballantyne, C. M., & Karter, A. J. (2022) · The American Journal of Medicine · doi:10.1016/j.amjmed.2021.11.011 · Cited by 35
The role of psychological science in efforts to improve cardiovascular medication adherence.
Bosworth, H. B., Blalock, D. V., Hoyle, R. H., Czajkowski, S. M., & Voils, C. I. (2018) · American Psychologist · doi:10.1037/amp0000316 · Cited by 35
Salazar, A. M., Haggerty, K. P., & Roe, S. S. (2016) · Children and Youth Services Review · doi:10.1016/j.childyouth.2016.09.008 · Cited by 35
Kotwani, A., Joshi, J., Lamkang, A. S., Sharma, A., & Kaloni, D. (2021) · Pharmacy Practice · doi:10.18549/pharmpract.2021.1.2206 · Cited by 36
Arch, J. J., Crespi, C. M., Levin, M. E., Genung, S. R., Nealis, M., Mitchell, J. L., Bright, E. E., Albright, K., Magidson, J. F., & Stanton, A. L. (2022) · Annals of Behavioral Medicine · doi:10.1093/abm/kaab118 · Cited by 34
Cevasco, K. E., Morrison Brown, R. E., Woldeselassie, R., & Kaplan, S. (2024) · Journal of Medical Systems · doi:10.1007/s10916-024-02059-x · Cited by 35
Brar Prayaga, R., Jeong, E. W., Feger, E., Noble, H. K., Kmiec, M., & Prayaga, R. S. (2018) · JMIR mHealth and uHealth · doi:10.2196/mhealth.8930 · Cited by 33
Using Dispensing Data to Evaluate Adherence Implementation Rates in Community Pharmacy
Torres-Robles, A., Wiecek, E., Cutler, R., Drake, B., Benrimoj, S. I., Fernandez-Llimos, F., & Garcia-Cardenas, V. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.00130 · Cited by 33
Gerber, B. S., Rapacki, L., Castillo, A., Tilton, J., Touchette, D. R., Mihailescu, D., Berbaum, M. L., & Sharp, L. K. (2012) · BMC Public Health · doi:10.1186/1471-2458-12-891 · Cited by 33
Using conversational agents to explain medication instructions to older adults.
(2018) · Europe PMC (PubMed Central) · Cited by 32
Nelson, C. J., Saracino, R. M., Napolitano, S., Pessin, H., Narus, J. B., & Mulhall, J. P. (2019) · The Journal of Sexual Medicine · doi:10.1016/j.jsxm.2019.05.013 · Cited by 30
Rahmani, F., Ebrahimi, H., Ranjbar, F., Razavi, S. S., & Asghari, E. (2016) · Journal of Caring Sciences · doi:10.15171/jcs.2016.030 · Cited by 30
Realist-informed review of motivational interviewing for adolescent health behaviors.
Mutschler, C., Naccarato, E., Rouse, J., Davey, C., & McShane, K. (2018) · Systematic Reviews · doi:10.1186/s13643-018-0767-9 · Cited by 30
Pedrosa-Naudín, M. A., Gutiérrez-Abejón, E., Herrera-Gómez, F., Fernández-Lázaro, D., & Álvarez, F. J. (2022) · Pharmaceutics · doi:10.3390/pharmaceutics14122696 · Cited by 31
Newman, M. G., Basterfield, C., Erickson, T. M., Caulley, E., Przeworski, A., & Llera, S. J. (2022) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2022.2125800 · Cited by 45
Advancing Motivational Interviewing Training with Artificial Intelligence: ReadMI
Hershberger, P. J., Pei, Y., Bricker, D. A., Crawford, T. N., Shivakumar, A., Vasoya, M., Medaramitta, R., Rechtin, M., Bositty, A., & Wilson, J. F. (2021) · Advances in Medical Education and Practice · doi:10.2147/amep.s312373 · Cited by 26
Kröger, E., Tatar, O., Vedel, I., Giguère, A. M. C., Voyer, P., Guillaumie, L., Grégoire, J.-P., & Guénette, L. (2017) · International Journal of Clinical Pharmacy · doi:10.1007/s11096-017-0487-6 · Cited by 23
Sorsdahl, K., Petersen Williams, P., Everett-Murphy, K., Vythilingum, B., de Villiers, P., Myers, B., & Stein, D. J. (2015) · Community Mental Health Journal · doi:10.1007/s10597-015-9853-9 · Cited by 21
Kobue, B., Moch, S., & Watermeyer, J. (2017) · BMC Health Services Research · doi:10.1186/s12913-017-2246-8 · Cited by 22
Woolf-King, S. E., Sheinfil, A. Z., Ramos, J., Foley, J. D., Moskal, D., Firkey, M., Kellen, D., & Maisto, S. A. (2022) · Health Psychology Review · doi:10.1080/17437199.2020.1806722 · Cited by 23
Peng, X., Li, J., Zhao, H., Lai, J., Lin, J., & Tang, S. (2022) · BMC Endocrine Disorders · doi:10.1186/s12902-022-01015-5 · Cited by 22
Mentz, R. J., Greiner, M. A., Muntner, P., Shimbo, D., Sims, M., Spruill, T. M., Banahan, B. F., Wang, W., Mwasongwe, S., Winters, K., et al. (2018) · American Heart Journal · doi:10.1016/j.ahj.2018.03.007 · Cited by 21
Hakami, A. M., Almutairi, B., Alanazi, A. S., & Alzahrani, M. A. (2024) · Cureus · doi:10.7759/cureus.51791 · Cited by 20
Testing a behavioral intervention to improve adherence to adjuvant endocrine therapy (AET)
Shelby, R. A., Dorfman, C. S., Bosworth, H. B., Keefe, F., Sutton, L., Owen, L., Corsino, L., Erkanli, A., Reed, S. D., Arthur, S. S., et al. (2019) · Contemporary Clinical Trials · doi:10.1016/j.cct.2018.11.010 · Cited by 18
Concept analysis of coping with multiple sclerosis
Dehghani, A., Keshavarzi, A., Jahromi, M. F., Shahsavari isfahani, S., & Keshavarzi, S. (2018) · International Journal of Nursing Sciences · doi:10.1016/j.ijnss.2018.04.009 · Cited by 18
High Blood Pressure Medication Adherence Among Urban, African Americans in the Midwest United States
Schober, D. J., Tate, M., Rodriguez, D., Ruppar, T. M., Williams, J., & Lynch, E. (2021) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-020-00819-2 · Cited by 17
Nwaru, B. I., Salomé, G., Abacassamo, F., Augusto, O., Cliff, J., Sousa, C., Regushevskaya, E., Parkkali, S., & Hemminki, E. (2015) · Public Health Nutrition · doi:10.1017/s1368980014001359 · Cited by 17
Jonas, D. E., Miller, T., Ratner, S., McGuirt, B., Golin, C. E., Grodensky, C., Sturkie, E., Kinley, J., Dale, M., & Pignone, M. (2017) · Journal for Healthcare Quality · doi:10.1097/jhq.0000000000000069 · Cited by 16
Appalasamy, J. R., Joseph, J. P., Seeta Ramaiah, S., Md Zain, A. Z., Quek, K. F., & Tha, K. K. (2020) · JMIR Aging · doi:10.2196/17182 · Cited by 16
Medication Adherence Reminder System for Virtual Home Assistants: Mixed Methods Evaluation Study
Corbett, C. F., Combs, E. M., Chandarana, P. S., Stringfellow, I., Worthy, K., Nguyen, T., Wright, P. J., & O'Kane, J. M. (2021) · JMIR Formative Research · doi:10.2196/27327 · Cited by 14
Prevalence and correlates of medication reminder app ‘use and use intention’ among older adults
Ping, Y., Visaria, A., Suppiah, S. D., Tan, Y. W., & Malhotra, R. (2022) · Exploratory Research in Clinical and Social Pharmacy · doi:10.1016/j.rcsop.2022.100150 · Cited by 15
Bartlett, Y. K., Newhouse, N., Long, H. A., Farmer, A., & French, D. (2019) · Patient Preference and Adherence · doi:10.2147/ppa.s217843 · Cited by 14
Dawson, S., Girling, C.-J., Cowap, L., & Clark-Carter, D. (2023) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013766.pub2 · Cited by 14
Chew, B.-H., Fernandez, A., & Sazlina, S.-G. (2018) · Psychology Research and Behavior Management · doi:10.2147/prbm.s117224 · Cited by 14
Hartch, C. E., Dietrich, M. S., & Stolldorf, D. P. (2023) · JMIR Formative Research · doi:10.2196/50579 · Cited by 13
The pharmacological treatment of schizophrenia: how far have we come?
Rubio, J. M., & Kane, J. M. (2022) · Psychiatry and Clinical Neurosciences Reports · doi:10.1002/pcn5.13 · Cited by 13
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Metadata
- Authors
- Kirk, J., MacDonald, A., Lavender, P., Dean, J., & Rubin, G.
- Venue
- Biomedicine Hub
- Publisher
- S. Karger AG
- Published
- 2017-08-29
- Volume
- 2
- Issue
- 2
- Pages
- 1-12
- ISSN
- 2296-6870 (ISSN-L)
- OpenAlex
- W2746562707
- Cited by
- 3,887
- References
- 30
- FWCI
- 349.85
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
- creativecommons.org/licenses/by-nc-nd/4.0/ (tdm)
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 ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
