External tools for collaborative medication scheduling

Medication adherence—taking medication as prescribed—is critical for successful self-care, especially among older adults. Adherence depends on developing and implementing plans for taking medications. Age-related cognitive declines that affect adherence may be mitigated using external tools that support patient-provider collaboration needed to develop these adherence plans. We tested the effectiveness of structured collaborative medication tools to support better medication planning and adherence practices. Evidence for benefits of collaborative tools has been mixed in terms of their usefulness for medication-scheduling tasks, perhaps because the tools have not been explicitly designed to support patient-provider collaboration. A total of 144 community-dwelling older adults participated in pairs and performed the role of a patient or provider in a simulated patient-provider medication-scheduling task. Each pair worked with a structured (MedTable™ and e-MedTable) or unstructured (Medcard) scheduling tool and completed four problems (2 simple and 2 complex). Performance was measured using the following: problem-solving (medication schedule) accuracy, problem-solving time, solution (schedule) optimality, tool usability, collaborative effectiveness, and subjective workload involved in creating the medication schedules. Participants using structured tools produced more accurate and optimal schedules. They also rated subjective workload as lower and thought that the structured tools were easier to use, reduced subjective workload associated with creating the schedules. There was also suggestive evidence that participants using the structured tools rated more highly the quality of their collaboration. Structured medication-scheduling tools have the potential to improve medication adherence among older adults because they support collaborative planning and reduce the cognitive load involved in creating these adherence plans.

[1]  Herbert H. Clark,et al.  Grounding in communication , 1991, Perspectives on socially shared cognition.

[2]  Wai-Tat Fu,et al.  Collaborative Tools in a Simulated Patient-Provider Medication Scheduling Task , 2010 .

[3]  Allen Newell,et al.  Human Problem Solving. , 1973 .

[4]  B. Leupen,et al.  Design and analysis , 1997 .

[5]  L. Osterberg,et al.  Adherence to medication. , 2005, The New England journal of medicine.

[6]  L. G. Doak,et al.  Teaching Patients With Low Literacy Skills , 1985 .

[7]  Arthur D. Fisk,et al.  Handbook of human factors and the older adult , 1997 .

[8]  A. Mitchell,et al.  Recent patterns of medication use in the ambulatory adult population of the United States: the Slone survey. , 2002, JAMA.

[9]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[10]  Sarah M. Greene,et al.  How health care systems can begin to address the challenge of limited literacy , 2006, Journal of General Internal Medicine.

[11]  Helena M. Mentis,et al.  Articulating common ground in cooperative work: content and process , 2008, CHI.

[12]  D. Morrow,et al.  External support for collaborative problem solving in a simulated provider/patient medication scheduling task. , 2008, Journal of experimental psychology. Applied.

[13]  Katherine Waite,et al.  Helping patients simplify and safely use complex prescription regimens. , 2011, Archives of Internal Medicine.

[14]  Karen Donelan,et al.  State of the registered nurse workfore in the United States. , 2006, Nursing economic$.

[15]  Edwin Hutchins,et al.  How a Cockpit Remembers Its Speeds , 1995, Cogn. Sci..

[16]  Jiajie Zhang,et al.  Representations in Distributed Cognitive Tasks , 1994, Cogn. Sci..

[17]  R. Morrell,et al.  Medication adherence behaviors in older adults: effects of external cognitive supports. , 1992, Psychology and aging.

[18]  E. Hurme,et al.  Preventing medication errors in the home. , 2001, Geriatric nursing.

[19]  Denise C. Park,et al.  The basic mechanisms accounting for age-related decline in cognitive function. , 2000 .

[20]  R. Morrell Older Adults, Health Information, and the World Wide Web , 2001 .

[21]  B. Thomas,et al.  Usability Evaluation In Industry , 1996 .

[22]  E B Ryan,et al.  Changing the Way We Talk with Elders: Promoting Health Using the Communication Enhancement Model , 1995, International journal of aging & human development.

[23]  D. Schillinger,et al.  A visual medication schedule to improve anticoagulation control: a randomized, controlled trial. , 2007, Joint Commission journal on quality and patient safety.

[24]  D. Bell,et al.  A low-literacy medication education tool for safety-net hospital patients. , 2009, American journal of preventive medicine.

[25]  David W. Bates,et al.  White Paper: Personal Health Records: Definitions, Benefits, and Strategies for Overcoming Barriers to Adoption , 2006, J. Am. Medical Informatics Assoc..

[26]  Stephanie D. Teasley,et al.  Perspectives on socially shared cognition , 1991 .

[27]  P. Aspden,et al.  Preventing Medication Errors , 2007 .

[28]  P. Hancock,et al.  Human Mental Workload , 1988 .

[29]  R. Kravitz,et al.  Physician communication when prescribing new medications. , 2006, Archives of internal medicine.

[30]  S. Kripalani,et al.  Development of an illustrated medication schedule as a low-literacy patient education tool. , 2007, Patient education and counseling.

[31]  Ruth B. Ekstrom,et al.  Manual for kit of factor-referenced cognitive tests , 1976 .

[32]  M. McDaniel,et al.  Normal aging and prospective memory. , 1990, Journal of experimental psychology. Learning, memory, and cognition.

[33]  Herbert A. Simon,et al.  Why a Diagram is (Sometimes) Worth Ten Thousand Words , 1987, Cogn. Sci..

[34]  Géry d'Ydewalle,et al.  The importance of on-going concurrent activities as a function of age in time- and event-based prospective memory , 1999 .

[35]  Robert Milne,et al.  Local Efforts with Global Impact: Europe's Thriving AI Communities , 2003, IEEE Intell. Syst..

[36]  T. Salthouse Mediation of Adult Age Differences in Cognition by Reductions in Working Memory and Speed of Processing , 1991 .

[37]  Denise C. Park,et al.  Cognitive Aging: A Primer , 1999 .