Abstract
More than half of older adults regularly take multiple medications. Rates of medication non-adherence are high, which undermines both patients’ health and the economy. Memory and metacognitive factors (such as misplaced confidence) help explain why patients across the lifespan may not understand or follow prescribed regimens. These factors include difficulties in remembering confusing information; patients’ and practitioners’ potential overconfidence in memory; and misunderstandings about memory. Patients, practitioners, and the public can use these principles to improve memory, enhance understanding, and promote metacognitive accuracy with respect to complex medication information, which may increase the likelihood of adherence.
Keywords: memory, metacognition, aging, medication, public health
Medication use among older adults is widespread: more than half of people over the age of 65 take five or more medications regularly (Qato et al., 2008). Meanwhile, up to 50% of patients struggle to adhere to their physicians’ recommendations, leading to adverse health and economic consequences (Gellad, Grenard, & Marcum, 2011; Hughes, 2004; Roebuck, Liberman, Gemmill-Toyama, & Brennan, 2011). Patients across the lifespan may use medications unwisely (intentionally or not; e.g., DeSantis, Webb, & Noar, 2008). Examining the factors underlying medication nonadherence may help reduce drug interactions among many older adults (Hughes, Cadogan, Patton, & Ryan, 2016; Marcum & Gellad, 2012).
Medication nonadherence is due to many factors, including patients’ lack of social and economic support (Goins, Williams, Carter, Spencer, & Solovieva, 2005; Hennessey & Heryer, 2011) and inadequate communication with physicians (Koulayev, Simeonova, & Skipper, 2017). However, before leaving the doctor’s office, a potential first way to ensure people adhere to advice is making sure that they understand the information and will remember it – or at least remember where to find it. Remembering medical information is often challenging – similar to learning a new, difficult language (Blake, Hargis, & Castel, 2016). Common problems include: misremembering specific recommendations (e.g., confusing dosage information for two concurrent medications), having prior knowledge interfere with newer knowledge (e.g., was that a side effect of my old medication or of my new medication?), and being overwhelmed by excess information (e.g., information overload during a doctor’s office visit or a pharmacy consultation). As much as 80% of information provided by healthcare practitioners is forgotten immediately (Kessels, 2003).
Further, people are often not aware that they are at risk for forgetting (Castel, McCabe, & Roediger, 2007; Koriat & Bjork, 2005), and many are overconfident about their future memory (Koriat, Bjork, Sheffer, & Bar, 2004; Kornell & Bjork, 2009). Overconfidence in one’s memory for medical information could have dire consequences if, for example, one takes an incorrect dosage. Healthcare professionals are also susceptible to metacognitive biases, potentially exhibiting a “curse of knowledge” (Koriat & Bjork, 2005) by expecting patients to remember information with which they themselves are highly familiar.
Many of these challenges can be particularly difficult for older adults to overcome as several cognitive processes decline, even in healthy aging (Hartley et al., 2018; Salthouse, Atkinson, & Berish, 2003). Older adults struggle to remember and adhere to medical recommendations more than younger adults do (Brown & Park, 2002; Morrell, Park, & Poon, 1990; Salzman, 1995), which is especially concerning given older adults’ rates of medication use (Qato et al., 2008). To counter these difficulties, patients across the lifespan may benefit from understanding why they are taking a given medication and why specific medication instructions matter, rather than simply attempting to abide by the regimen without fully knowing the medications’ purpose.
We briefly review factors that influence patients’ adherence and understanding. Laboratory-based tasks have examined both memory and metacognition—beliefs about cognition—for medical information. We also provide concrete suggestions to improve patients’ understanding and adherence.
The Importance (and Difficulty) of Adhering to a Medication Regimen
Medication nonadherence can occur for a myriad of reasons, including patient-centered factors such as health literacy (Brown & Bussell, 2011), practitioner-centered factors such as a lack of coordinated care (Cutler & Everett, 2010), and system-centered factors such as medication cost (Doshi, Zhu, Lee, Kimmel, & Volpp, 2009; Murray et al., 2004). Failure to adhere to a medication regimen has implications for the patient, of course, but also for society in a broader sense: patient nonadherence to medication regimens costs more than $100 billion per year in preventable hospitalizations (Cutler & Everett, 2010; Osterberg & Blaschke, 2005). Of those who experience adverse effects due to not taking medication as prescribed, many suffer serious consequences such as falls, low blood pressure, delirium, and heart failure (MacLaughlin et al., 2005). Despite numerous attempts to increase medication adherence rates, few have shown replicable outcomes (Brown & Bussell, 2011; Haynes, Ackloo, Sahota, McDonald, & Yao, 2008; Peterson et al., 2003; but see Gabriel, Gagnon, & Bryan, 1977; Stewart, Murray, Birt, Manatunga, & Darnell, 1993; Park et al., 1992; Wong & Norman, 1987).
Many studies examine medication nonadherence in the elderly, but few focus on the cognitive mechanisms underlying nonadherence (cf. Morrell et al., 1990; Park et al., 1991). Abundant resources allow individuals to learn more about their medications (e.g., websites, pamphlets), and strategies can ensure that important information is not forgotten (e.g., by taking notes during the physician visit), but committing important information to memory—or at least being aware of having forgotten it—can help both patients and practitioners.
Cognitive Factors Affecting Memory for Medical Information
People across the lifespan can face difficulties in remembering medication information for reasons that include memory and metacognitive factors. Some factors, such as the tendency to confuse similar information, particularly challenge older adults, who face greater deficits in inhibiting irrelevant items in memory (May, Hasher, & Kane, 1999; see also Stoltzfus et al., 1993). Given a complex regimen, interference in memory may also occur. That is, medical information that was previously learned may affect memory for current information, such as when a patient’s previous knowledge about how and when to take an old medication (no longer taken) disrupts recall of how to take the new medication, leading to memory errors.
Additionally, patients are often told to take a medication at a particular time of the day, or to not take a medication while eating a specific food. Remembering these instructions requires binding the necessary components in memory and, later, being able to recall those associated items. Associating and recalling paired items can be particularly difficult for older adults in a variety of domains (Naveh-Benjamin, 2000; Naveh-Benjamin, Guez, Kilb, & Reedy, 2004; Naveh-Benjamin, Hussain, Guez, & Bar-On, 2003; cf. Hargis & Castel, 2017).
Older adults often rely on gist-based processing (getting the “general picture”) rather than remembering exact, verbatim details (Koutstaal & Schacter, 1997; Tun, Wingfield, Rosen, & Blanchard, 1998). Increased reliance on gist can affect how older people remember specific medical advice, such as exact details about dosage (e.g., 20ml vs 60ml of a liquid cough medication) or which substances to avoid while taking a new medication (e.g., orange juice vs grapefruit juice), which may contribute to dysfunctional doctor-patient interactions.
Metacognitive Factors Affecting Memory for Medical Information
People commonly misconceive how memory works. Metamemory (a type of metacognition) includes beliefs about memory, as well as how people control and monitor their learning (Blake & Castel, 2016). People use metamemory when assessing how likely they are to remember or forget information in the future, as well as when people note whether their memory is generally accurate (or not so accurate) in a given domain.
For example, most people are not aware that processing information deeply will lead to better memory performance later (Bieman-Copland & Charness, 1994; Shaw & Craik, 1989). Additionally, many people believe that once they have learned something, they will remember it far into the future (known as the “stability bias;” Koriat et al., 2004; Kornell & Bjork, 2009). In fact, with time and changes in context (e.g., Radvansky & Copeland, 2006), rapid forgetting of information can occur. People fail to account for this forgetting while learning, thus committing a metacognitive error. Often studied from an educational perspective, with an eye toward how and when students choose to study information for a later test (e.g., Kornell & Bjork, 2009), the stability bias can also affect metamemory for medical information. If patients feel confident in their memory leaving the doctor’s office, this confidence will likely persist, even though some forgetting is highly likely.
Overconfidence in memory can cause individuals to be less likely to restudy information; if they believe they have learned it well initially, they have no reason to try to learn the information again. Large amounts of information about medications are now accessible via the Internet, and this initial “ease of access” can lead to overconfidence that learned information will persist in memory (Kornell, Rhodes, Castel, & Tauber, 2011). Highly confident memory errors among patients may be particularly dangerous when taking medications, as misremembering which medication to take when or which food to avoid may have potentially harmful consequences.
When relaying information to patients, practitioners may exhibit a “curse of knowledge” that leads to suboptimal communication (Birch & Bloom, 2007; Koriat & Bjork, 2005). Medical professionals are experts in their domains, and experts often have difficulty relaying information to a relative novice (although many patients are experienced in taking medications, most have not had a formal medical education). Medical experts may not realize that the clear way in which they believe they have relayed information about a particular medication or diagnosis does not actually make sense to the patient. In failing to account for differences in knowledge and understanding between oneself and others, medical professionals may overestimate how well patients will later remember critical information, representing a metacognitive bias in their communication.
Further, metacognitive factors such as stereotype threat during learning can also sabotage memory. For example, when older adults are asked to complete a task that will test their memory, activating the stereotype that older adults are forgetful can harm their performance (Chasteen, Bhattacharyya, Horhota, Tam, & Hasher, 2005; Hess, Auman, Colcombe, & Rahhal, 2003; Hess, Hinson, & Hodges, 2009). Well-established in the lab (e.g., Chasteen et al., 2005; Mazerolle et al., 2016), stereotype threat might also affect real-life behavior if a patient feels pressure to remember a large amount of information relayed by, perhaps, a younger physician. Clinicians’ healthcare decisions may also be affected by their stereotypes about older adults and their beliefs about aging (Davis, Bond, Howard, & Sarkisian, 2011).
Recommendations for Policy, Patients, and Practitioners
As discussed, medication nonadherence across the lifespan is common, significantly impacts health and the economy, and has causes both internal and external to the patient. Memory errors and metacognitive biases by patients and healthcare professionals can lead to misunderstanding and nonadherence. Using established cognitive principles, recommendations involve the patient, the practitioner, and public policy, first in memory, then in metacognition.
Recommendations to Address Memory Factors
When people encounter excessive information, they often struggle to remember it all. However, when some information is deemed important, younger and older adults can remember that important information accurately (Castel, 2008; Castel, Benjamin, Craik, & Watkins, 2002; Castel, McGillivray, & Friedman, 2012; Castel, Middlebrooks, & McGillivray, 2015; Friedman, McGillivray, Murayama, & Castel, 2015; Hargis & Castel, 2017; Middlebrooks, McGillivray, Murayama, & Castel, 2016; cf. Ariel, Price, & Hertzog, 2015). To enable individuals to prioritize, however, the information itself must be structured to show what is valuable. The healthcare provider can simply clarify what is most important to remember (e.g., “this side effect seems small but it’s important to remember, because it is a warning sign for more extensive issues”, as examined in Friedman et al., 2015; see also Heller, Chapman, & Horne, 2017). Then, patients may be in a better position to decide whether some of the information is worth effortfully committing to memory or not. Emphasizing important information (such as dosage instructions) may help, even if those are already written on the medication bottle; the information on those labels is often not well understood or is forgotten (Morrell, Park, & Poon, 1989; Zuccollo & Liddell, 1985).
Knowing what to remember is important, but it can also be helpful to know how to learn information effectively. “Desirable difficulties” (Bjork, 1994) are not often endorsed by participants as being effective for learning, but many such strategies turn out to benefit memory above and beyond “easier” learning strategies. For example, people typically endorse rereading information, or being re-exposed to it in some other way, as the best way to ensure that the information is learned, despite this strategy being fairly ineffective (Yan, Thai, & Bjork, 2014). However, testing, rather than simply rereading, can enhance learning (Larsen et al., 2013; Roediger & Karpicke, 2006). Testing can benefit both memory and metamemory, as the failure to recall information also helps to clarify what one does and does not know.
With respect to medication adherence, “social testing” may be especially useful between a doctor and patient or among friends and partners, with someone asking the patients what information from the visit they are supposed to remember. Indeed, collaboration improves older adults’ memory for medication information (Margrett & Marsiske, 2002; for a review, see Meegan & Berg, 2002). This informal social testing can indicate to the patient and to the other party (e.g., a doctor, friend, or spouse) how well the patient can actually recall the information relative to how well one thinks the information should be recalled.
Generating information can help patients not only remember information and heighten awareness of forgetting (Rawson, O’Neil, & Dunlosky, 2011), it can also benefit patients’ memory for why they are taking each medication (e.g., “the white oval-shaped pill treats high cholesterol, and it works by reducing the cholesterol that can build up on my arteries.”). Increasing patient knowledge about medication increases contextual support, which can benefit memory (Cherry & Park, 1993; Smith & Vela, 2001). Also, understanding one’s regimen can increase feelings of self-efficacy and encourage patients to take a more active role in their treatment. That is, if patients understand what a medication treats and how it works, they may be more likely to mention if they notice changes in its effectiveness, or more likely to ask if it can be removed from the regimen if it is no longer providing a clear benefit. Active engagement by the patient could help ensure that even sophisticated regimens, especially multi-drug regimens, are optimally beneficial (see Reeve & Wiese, 2014).
In a recent Daily Digest email targeted to older adults, the National Institute on Aging (NIA) suggested questions that patients should ask their doctors during checkups (e.g., costs, long-term prognosis, reasons for medications; National Institute on Aging, 2017). The target audience could also learn about empirically-supported memory strategies to use in such situations. Older adults do not tend to apply memory strategies spontaneously (Naveh-Benjamin, Brav, & Levy, 2007, cf. Frank, Jordano, Browne, & Touron, 2016), but can use them effectively when recommended (Dunlosky, Kubat-Silman, & Hertzog, 2003; Paxton, Barch, Storandt, & Braver, 2006). Thus, including memory strategy information and examples of questions to ask oneself (rather than just questions to ask one’s doctor) could greatly benefit patients’ understanding of medication regimens.
Improving memory for medication information could have beneficial outcomes beyond adherence. When older adults perform successfully on a memory task, they carry this success to later tasks (Geraci & Miller, 2013). Perhaps adhering successfully to a complex medication regimen (and, critically, being aware of this success) would increase memory self-efficacy among older adults, which could in turn lead to more effort devoted to subsequent memory tasks, improving performance (Bandura, 1993; Berry & West, 1993). Increasing memory for and understanding of medication information could have far-reaching effects, which in turn may improve adherence.
However, patients do not have to rely solely on their memories for all information that they learn during a healthcare visit. Recently, some have discussed recording doctor’s office visits, which physicians both support and oppose (Span, 2017). Setting aside the ethical debates, recording a visit would likely benefit memory if confusing parts could be revisited. If recording is not possible, techniques as simple as paper-based note-taking could greatly increase memory for important information (Kiewra, 1989; King, 1992). Patients should be encouraged to take notes themselves or bring someone who can (Margrett & Marsiske, 2002).
Recommendations to Address Metacognitive Factors
When forgetting is made salient (e.g., in Koriat & Bjork, 2005), people are less likely to believe that memory does not change over time, thereby reducing the stability bias. If patients become less susceptible to the stability bias, they may correctly expect their memory to be less accurate in two weeks than it was at doctor’s office (Halamish, McGillivray, & Castel, 2011). Similarly, overconfidence in memory for medication side effects greatly decreases after a brief, laboratory-based memory task (Hargis & Castel, 2017), at least in the short term. Patients who are not overconfident in their memory may be less likely to rely on rote memorization of medical advice, in favor of effective retention strategies such as self-testing.
Communication between practitioner and patient can remedy metacognitive biases and improve adherence (DiDonato & Surprenant, 2015; Hawe & Higgins, 1990; Koulayev et al., 2017). Presenting experts with a challenging memory task (e.g., Hargis & Castel, 2017) might remind them how it feels to be a novice in learning medication information. The potential influence of memory interference, confusability, and metacognitive biases may become more apparent to physicians given such a task. Ensuring that communication is not impaired by a metacognitive mismatch between what the expert thinks the patient knows and what the patient actually knows could benefit adherence.
The pharmacist can serve as another line of defense against forgetting and metacognitive biases (Hawe & Higgins, 1990). Assessing memory in a way that avoids inducing stereotype threat (e.g., “I know many people have difficulty taking their medicines, so please tell me how you manage all these drugs”, MacLaughlin et al., 2005, p. 241), highlighting which information is important on a pill bottle, and encouraging the patient to retrieve relevant medication information from memory could all benefit adherence. If pharmacists implement brief techniques such as making patients aware of the stability bias and reviewing potential medication interactions, patients’ memory and metacognition could improve.
Policy Insights and Concluding Comments
Stakeholders including patients, practitioners, and governmental organizations such as the NIA could implement the suggestions proposed above, which are backed by well-established research, with relative ease and at a low cost. Short, simple tests of patients’ memory for their regimens can be done at any point (in fact, repeated testing can be particularly beneficial in remembering medication information; Hargis & Castel, 2018). The benefit of this type of testing is threefold: it shows practitioners what patients do not know, metacognitive biases can be made salient and addressed, and the test itself serves as a learning tool to reinforce patients’ knowledge and understanding.
Continuing education programs for practitioners can incorporate the importance of memory and metacognition at a low cost; demonstrations of memory tasks are quick, potent ways to remedy harmful metacognitive biases. The NIA can incorporate recommendations of effective learning strategies in its healthcare literature by featuring relevant research in a new email (or emails) in the Daily Digest series, and/or by adding brief vignettes or bullet-points to existing electronic or paper-based materials.
Rates of nonadherence to medication regimens are high, especially among older people, many of whom take multiple medications simultaneously. Reducing the number of medications in a patient’s regimen may further boost adherence, especially if some no longer serve a therapeutic purpose (Reeve & Wiese, 2014). Additionally, being aware of and remedying memory and metacognitive errors may alert patients and practitioners that the memory system is an imperfect but important mechanism in adhering to medical advice. Testing memory for important information, communicating more effectively with patients, and incorporating a more accurate perception of one’s memory may benefit understanding of personal medication regimens, increase awareness of possible side effects and dangerous interactions, and improve adherence outcomes for patients across the lifespan.
Highlights:
Many people, including older adults, take medications but fail to accurately adhere to prescribed medication regimens, which has detrimental clinical and economic impacts.
Understanding and remembering medication information can be particularly difficult due to confusability, interference, and stereotype threat, which may in turn impact adherence.
Mistaken beliefs about their own memories (metacognitive biases) lead people to be overconfident in their ability to remember information (patients) or relay information effectively (healthcare practitioners), but there are ways to lessen these effects.
Patients, practitioners, and organizations such as the National Institute on Aging can utilize well-established memory and metacognitive principles to construct simple, low-cost methods that improve medication regimen understanding and adherence.
Acknowledgments
We thank Josie Menkin, Catherine Middlebrooks, Alex Siegel, Mary Whatley, Adam Blake, and Susan Fiske for their thoughtful comments on earlier drafts.
This work was supported in part by the National Institutes of Health (National Institute on Aging), Award Number R01AG044335.
Footnotes
Tweet: Many do not use medications as advised. Use established principles of memory and self-confidence to boost understanding and adherence.
References
- Bandura A (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28, 117–148. [Google Scholar]
- Berry JM, & West RL (1993). Cognitive self-efficacy in relation to personal mastery and goal setting across the life span. International Journal of Behavioral Development, 16, 351–379. [Google Scholar]
- Bieman-Copland S, & Charness N (1994). Memory knowledge and memory monitoring in adulthood. Psychology and Aging, 9, 287–302. [DOI] [PubMed] [Google Scholar]
- Birch SA, & Bloom P (2007). The curse of knowledge in reasoning about false beliefs. Psychological Science, 18, 382–386. [DOI] [PubMed] [Google Scholar]
- Bjork RA (1994). Memory and metamemory considerations in the training of human beings In Metcalfe J & Shimamura A (Eds.), Metacognition: Knowing about knowing (pp. 185–205). Cambridge, MA: MIT Press. [Google Scholar]
- Blake AB, & Castel AD (2016). Metamemory In Whitbourne SK (Ed.), The Encyclopedia of Adulthood and Aging. Hoboken, NJ: John Wiley & Sons. [Google Scholar]
- Blake AB, Hargis MB, & Castel AD (2016). Differences in Associative Memory and Metamemory Across Domains: Foreign Vocabulary and Medications. Presented at the Psychonomic Society Annual Meeting in Boston, MA. [Google Scholar]
- Brown MT, & Bussell JK (2011). Medication adherence: WHO cares? In Mayo Clinic Proceedings, 86, 304–314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brown SC, & Park DC (2002). Roles of age and familiarity in learning health information. Educational Gerontology, 28, 695–710. [Google Scholar]
- Castel AD (2008). The adaptive and strategic use of memory by older adults: Evaluative processing and value-directed remembering In Benjamin AS & Ross BH (Eds.), The psychology of learning and motivation (Vol. 48, pp. 225–270). London: Academic Press. [Google Scholar]
- Castel AD, Benjamin AS, Craik FI, & Watkins MJ (2002). The effects of aging on selectivity and control in short-term recall. Memory & Cognition, 30, 1078–1085. [DOI] [PubMed] [Google Scholar]
- Castel AD, McCabe DP, & Roediger HL (2007). Illusions of competence and overestimation of associative memory for identical items: Evidence from judgments of learning. Psychonomic Bulletin & Review, 14, 107–111. [DOI] [PubMed] [Google Scholar]
- Castel AD, McGillivray S, & Friedman MC (2012). Metamemory and memory efficiency in older adults: Learning about the benefits of priority processing and value-directed remembering In Naveh-Benjamin M & Ohta N (Eds.), Memory and aging: Current issues and future directions (pp. 245–270). New York: Psychology Press. [Google Scholar]
- Castel AD, Middlebrooks CD, & McGillivray S (2015). Monitoring memory in old age: Impaired, spared, and aware In Dunlosky J & Tauber S (Eds.), The Oxford Handbook of Metamemory. Oxford University Press. [Google Scholar]
- Chasteen AL, Bhattacharyya S, Horhota M, Tam R, & Hasher L (2005). How feelings of stereotype threat influence older adults’ memory performance. Experimental Aging Research, 31, 235–260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cherry KE, & Park DC (1993). Individual difference and contextual variables influence spatial memory in younger and older adults. Psychology and Aging, 8(4), 517–526. [DOI] [PubMed] [Google Scholar]
- Cutler DM, & Everett W (2010). Thinking outside the pillbox—medication adherence as a priority for health care reform. New England Journal of Medicine, 362, 1553–1555. [DOI] [PubMed] [Google Scholar]
- Davis MM, Bond LA, Howard A, & Sarkisian CA (2011). Primary care clinician expectations regarding aging. The Gerontologist, 51, 856–866. [DOI] [PMC free article] [PubMed] [Google Scholar]
- DeSantis AD, Webb EM, & Noar SM (2008). Illicit use of prescription ADHD medications on a college campus: a multimethodological approach. Journal of American College Health, 57(3), 315–324. [DOI] [PubMed] [Google Scholar]
- DiDonato RM, & Surprenant AM (2015). Relatively effortless listening promotes understanding and recall of medical instructions in older adults. Frontiers in Psychology, 6, 778. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Doshi JA, Zhu J, Lee BY, Kimmel SE, & Volpp KG (2009). Impact of a prescription copayment increase on lipid-lowering medication adherence in veterans. Circulation, 119, 390–397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dunlosky J, Kubat-Silman AK, & Hertzog C (2003). Training monitoring skills improves older adults’ self-paced associative learning. Psychology and Aging, 18(2), 340–345. [DOI] [PubMed] [Google Scholar]
- Friedman MC, McGillivray S, Murayama K, & Castel AD (2015). Memory for medication side effects in younger and older adults: The role of subjective and objective importance. Memory & Cognition, 43, 206–215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Frank DJ, Jordano ML, Browne K, & Touron DR (2016). Older Adults’ Use of Retrieval Strategies in Everyday Life. Gerontology, 62, 624–635. [DOI] [PubMed] [Google Scholar]
- Gabriel M, Gagnon JP, & Bryan CK (1977). Improved patients compliance through use of a daily drug reminder chart. American Journal of Public Health, 67, 968–969. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gellad WF, Grenard JL, & Marcum ZA (2011). A systematic review of barriers to medication adherence in the elderly: looking beyond cost and regimen complexity. The American Journal of Geriatric Pharmacotherapy, 9, 11–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Geraci L, & Miller TM (2013). Improving older adults’ memory performance using prior task success. Psychology and Aging, 28, 340–345. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Goins RT, Williams KA, Carter MW, Spencer SM, & Solovieva T (2005). Perceived barriers to health care access among rural older adults: A qualitative study. The Journal of Rural Health, 21, 206–213. [DOI] [PubMed] [Google Scholar]
- Halamish V, McGillivray S, & Castel AD (2011). Monitoring one’s own forgetting in younger and older adults. Psychology and Aging, 26, 631–635. [DOI] [PubMed] [Google Scholar]
- Hargis MB & Castel AD (2017). Younger and older adults’ memory and metacognition for medication side effects. Presented at the Psychonomic Society Annual Meeting in Vancouver, Canada. [Google Scholar]
- Hargis MB & Castel AD (2018). Younger and older adults’ associative memory for medication interactions of varying severity. Memory. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hartley A, Angel L, Castel A, Didierjean A, Geraci L, Hartley J, Hazeltine E, Lemaire P, Maquestiaux F, Ruthruff E, Taconnat L, Thevenot C, & Touron D (2018). Successful aging: The role of cognitive gerontology. Experimental Aging Research, 44(1), 82–93. [DOI] [PubMed] [Google Scholar]
- Hawe P, & Higgins G (1990). Can medication education improve the drug compliance of the elderly? Evaluation of an in hospital program. Patient Education and Counseling, 16, 151–160. [DOI] [PubMed] [Google Scholar]
- Haynes RB, Ackloo E, Sahota N, McDonald HP, & Yao X (2008). Interventions for enhancing medication adherence. Cochrane Database of Systematic Reviews, 2, 1–161. [DOI] [PubMed] [Google Scholar]
- Heller MK, Chapman SC, & Horne R (2017). No blank slates: Pre-existing schemas about pharmaceuticals predict memory for side effects. Psychology & Health, 32, 402–421. [DOI] [PubMed] [Google Scholar]
- Hennessey M, & Heryer JW (2011). When information is insufficient: Inspiring patients for medication adherence and the role of social support networking. American Health & Drug Benefits, 4, 10–15. [PMC free article] [PubMed] [Google Scholar]
- Hess TM, Auman C, Colcombe SJ, & Rahhal TA (2003). The impact of stereotype threat on age differences in memory performance. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 58, 3–11. [DOI] [PubMed] [Google Scholar]
- Hess TM, Hinson JT, & Hodges EA (2009). Moderators of and mechanisms underlying stereotype threat effects on older adults’ memory performance. Experimental Aging Research, 35, 153–177. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hughes CM (2004). Medication non-adherence in the elderly. Drugs & Aging, 21, 793–811. [DOI] [PubMed] [Google Scholar]
- Hughes CM, Cadogan CA, Patton D, & Ryan CA (2016). Pharmaceutical strategies towards optimising polypharmacy in older people. International Journal of Pharmaceutics, 512, 360–365. [DOI] [PubMed] [Google Scholar]
- Kessels RP (2003). Patients’ memory for medical information. Journal of the Royal Society of Medicine, 96, 219–222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kiewra KA (1989). A review of note-taking: The encoding-storage paradigm and beyond. Educational Psychology Review, 1, 147–172. [Google Scholar]
- King A (1992). Comparison of self-questioning, summarizing, and notetaking-review as strategies for learning from lectures. American Educational Research Journal, 29, 303–323. [Google Scholar]
- Koriat A, & Bjork RA (2005). Illusions of competence in monitoring one’s knowledge during study. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31, 187–194. [DOI] [PubMed] [Google Scholar]
- Koriat A, Bjork RA, Sheffer L, & Bar SK (2004). Predicting one’s own forgetting: the role of experience-based and theory-based processes. Journal of Experimental Psychology: General, 133, 643–656. [DOI] [PubMed] [Google Scholar]
- Kornell N, & Bjork RA (2009). A stability bias in human memory: Overestimating remembering and underestimating learning. Journal of Experimental Psychology: General, 138, 449–468. [DOI] [PubMed] [Google Scholar]
- Kornell N, Rhodes MG, Castel AD, & Tauber SK (2011). The ease-of-processing heuristic and the stability bias: Dissociating memory, memory beliefs, and memory judgments. Psychological Science, 22, 787–794. [DOI] [PubMed] [Google Scholar]
- Koulayev S, Simeonova E, & Skipper N (2017). Can physicians affect patient adherence with medication? Health Economics, 26, 779–794. [DOI] [PubMed] [Google Scholar]
- Koutstaal W, & Schacter DL (1997). Gist-based false recognition of pictures in older and younger adults. Journal of Memory and Language, 37(4), 555–583. [Google Scholar]
- Larsen DP, Butler AC, Lawson AL, & Roediger HL (2013). The importance of seeing the patient: test-enhanced learning with standardized patients and written tests improves clinical application of knowledge. Advances in Health Sciences Education, 18, 409–425. [DOI] [PubMed] [Google Scholar]
- MacLaughlin EJ, Raehl CL, Treadway AK, Sterling TL, Zoller DP, & Bond CA (2005). Assessing medication adherence in the elderly. Drugs & Aging, 22, 231–255. [DOI] [PubMed] [Google Scholar]
- Marcum ZA, & Gellad WF (2012). Medication adherence to multidrug regimens. Clinics in Geriatric Medicine, 28, 287–300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Margrett JA, & Marsiske M (2002). Gender differences in older adults’ everyday cognitive collaboration. International Journal of Behavioral Development, 26(1), 45–59. [DOI] [PMC free article] [PubMed] [Google Scholar]
- May CP, Hasher L, & Kane MJ (1999). The role of interference in memory span. Memory & Cognition, 27, 759–767. [DOI] [PubMed] [Google Scholar]
- Mazerolle M, Régner I, Barber SJ, Paccalin M, Miazola AC, Huguet P, & Rigalleau F (2016). Negative aging stereotypes impair performance on brief cognitive tests used to screen for predementia. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 72, 932–936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Meegan SP, & Berg CA (2002). Contexts, functions, forms, and processes of collaborative everyday problem solving in older adulthood. International Journal of Behavioral Development, 26(1), 6–15. [Google Scholar]
- Middlebrooks CD, McGillivray S, Murayama K, & Castel AD (2016). Memory for allergies and health foods: How younger and older adults strategically remember critical health information. Journal of Gerontology: Psychological Sciences, 71, 389–399 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Morrell RW, Park DC, & Poon LW (1989). Quality of instructions on prescription drug labels: Effects on memory and comprehension in young and old adults. The Gerontologist, 29, 345–354. [DOI] [PubMed] [Google Scholar]
- Morrell RW, Park DC, & Poon LW (1990). Effects of labeling techniques on memory and comprehension of prescription information in young and old adults. Journal of Gerontology, 45, 166–172. [DOI] [PubMed] [Google Scholar]
- Murray MD, Young JM, Morrow DG, Weiner M, Tu W, Hoke SC, … & Bruner-England TE (2004). Methodology of an ongoing, randomized, controlled trial to improve drug use for elderly patients with chronic heart failure. The American Journal of Geriatric Pharmacotherapy, 2, 53–65. [DOI] [PubMed] [Google Scholar]
- National Institute on Aging. (2017). What Should I Ask My Doctor During a Checkup? Retrieved April 24, 2018, from https://www.nia.nih.gov/health/what-should-i-ask-my-doctor-during-checkup.
- Naveh-Benjamin M (2000). Adult age differences in memory performance: tests of an associative deficit hypothesis. Journal of Experimental Psychology: Learning, Memory, and Cognition, 26, 1170–1187. [DOI] [PubMed] [Google Scholar]
- Naveh-Benjamin M, Brav TK, & Levy O (2007). The associative memory deficit of older adults: the role of strategy utilization. Psychology and Aging, 22, 202–208. [DOI] [PubMed] [Google Scholar]
- Naveh-Benjamin M, Guez J, Kilb A, & Reedy S (2004). The associative memory deficit of older adults: Further support using face-name associations. Psychology and Aging, 19, 541–546. [DOI] [PubMed] [Google Scholar]
- Naveh-Benjamin M, Hussain Z, Guez J, & Bar-On M (2003). Adult age differences in episodic memory: further support for an associative-deficit hypothesis. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29, 826–837. [DOI] [PubMed] [Google Scholar]
- Osterberg L, & Blaschke T (2005). Adherence to medication. New England Journal of Medicine, 353, 487–497. [DOI] [PubMed] [Google Scholar]
- Park DC, Morrell RW, Frieske D, & Kincaid D (1992). Medication adherence behaviors in older adults: Effects of external cognitive supports. Psychology and Aging, 7, 252–256. [DOI] [PubMed] [Google Scholar]
- Park DC, Morrell RW, Frieske D, Blackburn AB, & Birchmore D (1991). Cognitive factors and the use of over-the-counter medication organizers by arthritis patients. Human Factors, 33, 57–67. [DOI] [PubMed] [Google Scholar]
- Park DC, Smith AD, Lautenschlager G, Earles JL, Frieske D, Zwahr M, & Gaines CL (1996). Mediators of long-term memory performance across the life span. Psychology and Aging, 11, 621–637. [DOI] [PubMed] [Google Scholar]
- Paxton JL, Barch DM, Storandt M, & Braver TS (2006). Effects of environmental support and strategy training on older adults’ use of context. Psychology and Aging, 21, 499–509. [DOI] [PubMed] [Google Scholar]
- Peterson AM, Takiya L, & Finley R (2003). Meta-analysis of trials of interventions to improve medication adherence. American Journal of Health-System Pharmacy, 60, 657–665. [DOI] [PubMed] [Google Scholar]
- Qato DM, Alexander GC, Conti RM, Johnson M, Schumm P, & Lindau ST (2008). Use of prescription and over-the-counter medications and dietary supplements among older adults in the United States. Journal of the American Medical Association, 300, 2867–2878. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Radvansky GA, & Copeland DE (2006). Walking through doorways causes forgetting: Situation models and experienced space. Memory & Cognition, 34, 1150–1156. [DOI] [PubMed] [Google Scholar]
- Rawson KA, O’Neil R, & Dunlosky J (2011). Accurate monitoring leads to effective control and greater learning of patient education materials. Journal of Experimental Psychology: Applied, 17, 288–302. [DOI] [PubMed] [Google Scholar]
- Reeve E, & Wiese MD (2014). Benefits of deprescribing on patients’ adherence to medications. International Journal of Clinical Pharmacy, 36, 26–29. [DOI] [PubMed] [Google Scholar]
- Roebuck MC, Liberman JN, Gemmill-Toyama M, & Brennan TA (2011). Medication adherence leads to lower health care use and costs despite increased drug spending. Health Affairs, 30, 91–99. [DOI] [PubMed] [Google Scholar]
- Roediger III HL, & Karpicke JD (2006). Test-enhanced learning: Taking memory tests improves long-term retention. Psychological Science, 17, 249–255. [DOI] [PubMed] [Google Scholar]
- Salthouse TA, Atkinson TM, & Berish DE (2003). Executive functioning as a potential mediator of age-related cognitive decline in normal adults. Journal of Experimental Psychology: General, 132, 566–594. [DOI] [PubMed] [Google Scholar]
- Salzman C (1995). Medication compliance in the elderly. The Journal of Clinical Psychiatry, 56, 18–23. [PubMed] [Google Scholar]
- Shaw RJ, & Craik FI (1989). Age differences in predictions and performance on a cued recall task. Psychology and Aging, 4, 131–135. [DOI] [PubMed] [Google Scholar]
- Smith SM, & Vela E (2001). Environmental context-dependent memory: A review and meta-analysis. Psychonomic Bulletin & Review, 8, 203–220. [DOI] [PubMed] [Google Scholar]
- Span P (2017, August 18). The appointment ends. Now the patient is listening. The New York Times. Retrieved from http://nytimes.com
- Stewart RB, Murray MD, Birt JA, Manatunga AK, & Darnell JC (1993). Medication compliance in elderly outpatients using twice-daily dosing and unit-of-use packaging. Annals of Pharmacotherapy, 27, 616–621. [DOI] [PubMed] [Google Scholar]
- Stoltzfus ER, Hasher L, Zacks RT, Ulivi MS, & Goldstein D (1993). Investigations of inhibition and interference in younger and older adults. Journal of Gerontology, 48, 179–188. [DOI] [PubMed] [Google Scholar]
- Tun PA, Wingfield A, Rosen MJ, & Blanchard L (1998). Response latencies for false memories: Gist-based processes in normal aging. Psychology and Aging, 13, 230–241. [DOI] [PubMed] [Google Scholar]
- Yan VX, Thai KP, & Bjork RA (2014). Habits and beliefs that guide self-regulated learning: Do they vary with mindset? Journal of Applied Research in Memory and Cognition, 3, 140–152. [Google Scholar]
- Wong BSM, & Norman DC (1987). Evaluation of a novel medication aid, the calendar blister-pak, and its effect on drug compliance in a geriatric outpatient clinic. Journal of the American Geriatrics Society, 35, 21–26. [DOI] [PubMed] [Google Scholar]
- Zuccollo G, & Liddell H (1985). The elderly and the medication label: doing it better. Age and Ageing, 14, 371–376. [DOI] [PubMed] [Google Scholar]