Literature DB >> 34006537

Development of salient medication reminders to facilitate information transfer during transition from inpatient to primary care: the Delphi process.

Eliza Lai-Yi Wong1, Kam-Shing Tang2, Annie Wai-Ling Cheung3, Ringo Kin-Cheung Sze3, Jack Chi-Him Lau3, Francis Chun-Keung Mok4, Ping-Wa Yam4, Jonathan Yui-Kin Chan5, Wai-Cheung Lao5, Siu-Ka Mak6, Tak-Yeung Chan6, Steven Woon-Choy Tsang7, Jenny Shun-Wah Lee8, Maureen Mo-Lin Wong9, Chi-Shing Leung9, Kam-Hon Chan10, James Ka-Hay Luk11, Sze-Yuen Fung12, Siu-Fai Lui3, Eng-Kiong Yeoh3.   

Abstract

OBJECTIVE: Transitional care is important to successful hospital discharge. Providing patients with a clear and concise summary of medication-related information can help improve outcomes, in particular, among older adults. The present study aimed to propose a framework for the development of salient medication reminders (SMR), which include drug-related risks and precautions, using the Delphi process.
DESIGN: Identification of potential SMR statements for 80% of medication types used by older adult patients discharged from geriatric medicine departments, followed by a Delphi survey and expert panel discussion. SETTINGS: Medical and geriatric departments of public hospitals in Hong Kong. PARTICIPANTS: A panel of 13 geriatric medical experts. OUTCOME MEASURE: A Likert scale ranging from 1 (strongly disagree) to 5 (strongly agree) points, scoring item relevance, importance and clarity. The minimum of 70% consensus was required for each statement to be included.
RESULTS: The expert panel achieved consensus through the Delphi process on 80 statements for 44 medication entities. Subsequently, the SMR steering group endorsed the inclusion of these statements in the SMR to be disseminated among older adults at the time of discharge from geriatric medicine departments.
CONCLUSIONS: The Delphi process contributed to the development of SMR for older adult patients discharged from public hospitals in Hong Kong. Patient experience with and staff response to the SMR were assessed at four hospitals before implementation at all public hospitals. © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  geriatric medicine; health & safety; health informatics; public health

Year:  2021        PMID: 34006537      PMCID: PMC8137220          DOI: 10.1136/bmjopen-2020-041336

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


Delphi-based consensus was used to identify 80 statements covering 24 drug classes most commonly dispensed to older adults in the public healthcare system in Hong Kong. The proposed framework may serve as a reference for the development of medication reminders aimed at improving patient experience and safety. The expert panel and steering committee included experts from geriatric medicine and other disciplines to ensure older adult care pathways were represented in the development of medication reminders. The Delphi survey provided opportunities for experts to deepen their understanding of pertinent issues and further refine the relevant statements. Expert discussion was held at the end of the Delphi process, helping prevent confrontations and ensure participant anonymity, both of which were conducive to a free discussion, increasing the ownership and acceptance of the salient medication reminder statements. Input from other stakeholder groups such as front-line workers and patients was not considered in the present study and should be incorporated in future studies.

Introduction

Medication-related adverse events are a significant and often preventable cause of morbidity and mortality.1 Older adults are susceptible to medication-related harm due to polypharmacy, low health literacy and age-related limitations.2 Non-adherence is a component of medication-related harm among older adults that may experience difficulty in managing complex drug regimens for their multimorbidity.3 A systematic review has reported that the incidence of medication-related harm among patients aged ≥65 years was in the range of 0.4%–51.2%, while 35%–59% of these incidents were likely preventable.2 A study from the UK using large-scale secondary data revealed that 37% of older adults experienced medication-related harm, and 81% of them experienced serious events; four patients died as a result.2 The incidence of hospitalisations associated with medication-related harm is 78 per 1000 discharges.2 Five classes of medications are associated with the highest risk of medication-related harm, namely, opiates, antibiotics, benzodiazepines and antihypertensive and cardiovascular medicines, all of which are commonly used.2 4 The WHO Global Patient Safety Challenge aims to reduce the incidence of preventable medication-related harm by 50% in the next 5 years.5 Information transfer at hospital discharge plays a vital role in achieving this goal; however, little is known about how this transfer can be completed effectively. Hospital discharge is not equivalent with the end of care; rather, it is a transition step between acute care and primary care in an ambulatory setting either at home or an assisted living facility.5 This process may entail changes to medication; in such cases, incomplete information or ineffective communication at discharge may result in adverse events,6 7 most of which can be prevented or reversed, provided the patient or their caregiver have the right information.8 Patients and their carers need to be provided with information on the possible medication-related benefits and side effects, so that ambulatory or primary care can be provided effectively and with continuity, leading to desirable outcomes. Patients with limited knowledge on the risk of adverse events associated with their prescription may experience poor outcomes after discharge. Previous studies have shown that the period of care transition makes patients particularly susceptible to medication-related harm.4 On discharge, patients should be equipped with information on their regimen, including the recommended precautions.9 10 However, effective communication in this context has rarely been studied, limiting the available evidence to reports of patient experience at discharge. The Hong Kong Government has estimated the prevalence of chronic conditions requiring long-term medication at 70% among older adults; at least 40% of the affected adults have comorbidities. In addition, although approximately 25% of older adults require informal care, less than half (47%) of them have caregivers.11 Polypharmacy is prevalent, accounting for approximately half of institutionalised older adults. Providing patients with clear instructions regarding their care may help improve these trends.11 Perceived adverse effects of medication are among the risk factors for non-adherence among the Chinese older adults,12 in particular, those without family or community support.13 This group is likely to benefit most from clear and concise summary of information on their prescriptions. Such summaries may also facilitate information transfer from healthcare providers to formal and informal caregivers, alongside patients themselves. Transition of care quality is reflected indirectly in patient-reported experience. The 2019 Hong Kong Inpatient Experience Survey reported that 93% of patients had received on discharge clear and understandable information on how to take medication at home; however, approximately one-third of patients did not receive any information regarding treatment side effects or recommended precautions.14 This finding may be due to information overload or complexity. One local inpatient study suggested that 6% of hospital readmissions is due to side effects of drugs/drug–drug interaction.15 Other research suggests that discharge planning and postdischarge support may reduce readmission rates and improve health outcomes.16 Effectively communicating drug-related risks may reduce medication-related harm, concurrently allowing for more effective use of public resources by preventing medication-related readmissions. This evidence suggests the importance of improving information resources provided to patients on discharge, ensuring end-user awareness of treatment benefits and side effects and recommended precautions. The present study aimed to use the Delphi process to develop a framework for communicating precautions through the salient medication reminder (SMR) for older adults discharged from hospital. The present study is first to propose a medication reminder aimed at older adults discharged from geriatric medicine departments. The present framework may serve as a reference point for other health systems and for further research aimed at improving patient experience and safety.

Methods

The study comprised four phases: (1) identifying and shortlisting candidate statements for the SMR by the steering group, (2) conducting a Delphi survey with an expert panel, (3) holding two rounds of consensus discussion among the experts and (4) seeking final endorsement from the steering group for the proposed SMR items. The most common medication entities were identified and selected by the SMR steering group based on the medical records of previously discharged patients and previous reports of safety incidents. In addition, the steering group performed a Delphi survey of the statements shortlisted by the expert panel, which was followed by discussion. The Delphi process refers to structured consensus building among a diverse group of experts.17–19 The final selection and modification of the reminder statements would act as an SMR framework for future development in different types of inpatient discharge drugs. The study flow chart is presented in figure 1.
Figure 1

Study flow. SMR, salient medication reminder.

Study flow. SMR, salient medication reminder.

Study setting and participants

The steering group consisted of 12 persons: two representatives from the patient experience survey research team at The Chinese University of Hong Kong, two representatives from the Division of Quality and Safety of the Hospital Authority (HA), and eight HA healthcare professional representatives, including three doctors, two nurses and three pharmacists. The expert panel consisted of healthcare professionals with at least 10 years of experience in the field of geriatric medicine, including at least one expert from each of the seven geographical clusters that fall under the HA. A blind response was used for the Delphi survey and a consensus discussion. The experts submitted their responses via an online platform designed for the Delphi survey. Where response clarification was required, the research team followed up with the respondents over the phone. Subsequently, the experts met for a consensus discussion.

Candidate medication statements

The medication database provided information on side effects and warning signs associated with most drug entities commonly dispensed at hospitals.20 The steering group included medication entities reported in the 2017 medication profiles of patients discharged from geriatric medicine departments of large-scale acute care public hospitals in HA as well as those reported in previous safety incident records. A total of 50 medication entities were identified, covering approximately 80% of medication types used for older adult patients. These medication entities with a total of 911 statements on recommended precautions or danger signals were extracted for the Delphi survey.

Delphi survey and expert consensus discussion

The steering group provided the expert panel with information on the study background, a list of 911 statements corresponding to 50 medication entities, statement voting criteria, and the details of the Delphi survey. Subsequently, the experts were invited to rate each statement on a scale from 1 (strongly disagree) to 5 (strongly agree) points, based on relevance, importance, and clarity, using an online platform. The statements were disseminated in 9 weekly batches between April and July 2017. A statement was accepted into the SMR framework if ≥70% of participants provided ratings of 4 (agree) or 5 (strongly agree) points on all three criteria. If ≥70% of participants provided ratings of ≥4 points on statement relevance and importance, but <70% of participants provided such ratings on clarity, the steering group made modifications based on the experts’ suggestions and put a revised statement to a vote in the next round of the Delphi survey. Moreover, statements with 60%–69% consensus and scores of 4–5 points on all three criteria were put to a face-to-face discussion before the next round of the Delphi survey. Revisions made to the statements by the steering group involved consolidation of pertinent statements, splitting lengthy statements and adding new statements, as required. The steering group discarded statements that failed to achieve agreement after two rounds of discussion. All consensus statements were endorsed by the steering group and included in the final list of SMR.

Blinding

The Delphi surveys were conducted using a double-blind design. The panel participants were blinded to the responses obtained from the other participants to minimise response bias. Survey findings were aggregated, and only score distribution per statement was disclosed to the expert panel and steering group for discussion. Data analysis was conducted by two investigators who were blinded to the identity of each respondent.

Statistical analysis

For the Delphi process, the choice from the survey was recorded using descriptive statistics and qualitative feedback on criteria-related revisions was also recorded. A double-entry data input method was used to ensure accuracy. Statistical analyses were performed using Stata V.13.0, StataCorp. Descriptive statistics of the sampled demographics were presented as counts and percentages or mean values, as appropriate. The entire survey was conducted anonymously, and the data were only accessible to assigned research team members to ensure confidentiality.

Results

A panel comprising 13 experts participated in the Delphi process, including 9 consultants/deputy consultants and 4 associate consultants. Demographic characteristics of the participants are presented in table 1. We achieved 100% response rates for both the Delphi survey and expert panel consensus discussion. Figure 2 provides details of the Delphi process results.
Table 1

Demographics of expert panel members

NameGenderPostSpecialtyHA cluster
Expert 1MConsultantMedicine and geriatricsCluster 7
Expert 2MAssociate consultantMedicineCluster 1
Expert 3MDeputy consultantMedicine and geriatricsCluster5
Expert 4MConsultantMedicineCluster 1
Expert 5MConsultantMedicineCluster 3
Expert 6FConsultantMedicine and geriatricsCluster 6
Expert 7MConsultantMedicine and geriatricsCluster 5
Expert 8FConsultantMedicine and geriatrics/Intensive-care UnitCluster 4
Expert 9MAssociate consultantMedicineCluster 6
Expert 10MConsultantGeriatricsCluster 2
Expert 11MDeputy consultantMedicine and geriatricsCluster 7
Expert 12MAssociate consultantMedicine and geriatricsCluster 3
Expert 13MAssociate consultantMedicine and geriatricsCluster 4

F, female; HA, Hospital Authority; M, male.

Figure 2

Results of Delphi process. SMRs, salient medication reminder.

Results of Delphi process. SMRs, salient medication reminder. Demographics of expert panel members F, female; HA, Hospital Authority; M, male.

Delphi survey

Seventy-three (8.0% of 911) statements met the selection criteria. Additional 6 (0.7%) statements were deemed relevant and important but not clear; finally, 832 (81.6%) statements were deemed as neither relevant nor important. After voting, 73 statements remained. Thyroxine-related statements were excluded after discussion among the expert panel due to the lack of sufficient information on side effects; only 1 in 20 applicable statements achieved a consensus. In addition, based on panel feedback, 26 statements were consolidated into 13 statements, 1 statement was split into 2 and another 2 statements were revised for clarity. Six statements deemed relevant and important but unclear were revised and included in the SMR. Among 832 statements with <70% of votes on ‘relevance’ or ‘importance’, all expert panel agreed with the statement for ‘verapamil’ which was rated with 85% for ‘relevance’, 69% for ‘importance’ and 85% for ‘clarity’ in the Delphi survey should be also included in the SMR due to the high agreement regarding relevance after post Delphi survey discussion. A total of 66 statements on 38 medication entities achieved survey and discussion consensus for inclusion in the SMR. In addition, 24 statements on 6 medication entities that achieved 60%–69% consensus for both ‘relevance’ and ‘importance’ were revised and presented for further discussion. A total of 196 comments on 911 statements were collected from the Delphi survey. Among them, 86 (44%) comments were related to relevance (eg, ‘side effect not relevant to older adults’) and suggestions for other common side effects to be included; 21 (11%) comments were about importance (eg, ‘low risk of this side effect’) and 78 (40%) comments were about clarity and word choice (eg, ‘not specific enough for the medication’).

Expert discussion

Based on relevance, 11 of 24 statements were selected for further modification, and 13 statements were excluded. After reviewing the comments, 2 of 11 statements were consolidated. Statements related to prednisolone and glyceryl trinitrate were split from two into four statements. ‘If symptoms persist, please consult a doctor’ was used as a general reminder statement. A new statement, ‘This medication relieves asthmatic symptoms; please consult a doctor if the symptoms persist’, was suggested for salbutamol. Another new statement, ‘Common side effects include palpitations, fine tremors and anxiety’, was added for terbutaline. After discussion, all expert panel members agreed to include another 14 statements pertaining to 6 medication entities. Table 2 presents the drug entities considered in the Delphi process. Examples of the endorsed statements are presented in online supplemental table S1, including suggestions for modifications.
Table 2

List of 50 medication entries and endorsement status of statements

Drug entities in delphi surveyRaw databaseRound 1 endorsement (28 September 2017)Round 2 endorsement (27 December 2017)Final item
#Drug classWeek of votingMedicineGeneric nameStatusNo of statementsStatements describing side effectsStatements describing precautionsR, I, C ≥70%After condensing and addition of some itemsRemarkR, I ≥70%, C ≥60%No of endorsed itemRemarkR, I ≥60%,C ≥60%Round 2 changesRemarkFinal no of item endorsed
1ACE inhibitor7CaptoprilCAPTOPRILEndorsed in Round 121101122/0/NA0/2
2ACE inhibitor7EnalaprilENALAPRIL MALEATEEndorsed in Round 122101222/0/NA0/2
3ACE inhibitor7LisinoprilLISINOPRILEndorsed in Round 122101211/21One item (85%, 85%, 69%) was included after clarity improved.NA0/2
4ACE inhibitor7PerindoprilPERINDOPRIL ARGININEEndorsed in Round 123101311/11One item (77%, 77%, 69%) was included was included after clarity improved.NA0/2
5ACE inhibitor7RamiprilRAMIPRILEndorsed in Round 120101022/0/NA0/2
6Alpha-adrenoceptor blocking agent8PrazosinPRAZOSIN HCLEndorsed in Round 1157811/0/NA0/1
7Angiotensin II receptor antagonist7LosartanLOSARTAN POTASSIUMEndorsed in Round 1148611/0/NA0/1
8Penicillins5AugmentinAUGMENTINEndorsed in Round 1189911/0/NA0/1
9Antimuscarinic agent6IpratropiumIPRATROPIUM BROMIDEEndorsed in Round 12213911/0/NA0/1
10Thrombin inhibitor (direct)2DabigatranDABIGATRAN ETEXILATEEndorsed in Round 1157833/0/NA0/3
11Vitamin K antagonist2WarfarinWARFARIN SODIUMEndorsed in Round 11861243Combining two items into one0/NA0/3
12N/A9AcetylcysteineN/ANo SMR endorsed115600/0/00/0
13Antihistamines9ChlorpheniramineCHLORPHENIRAMINE MALEATEEndorsed in Round 1136711/0/NA0/1
14Sulphonylureas5GlipizideGLIPIZIDEEndorsed in Round 1157821Combining two items into one0/NA0/1
15Sulphonylureas5GliclazideGLICLAZIDEEndorsed in Round 12519611/1/NA0/1
16Sulphonylureas5GlimepirideGLIMEPIRIDEEndorsed in Round 1136721Combining two items into one0/NA0/1
17Biguanides5MetforminMETFORMIN HCLEndorsed in Round 1168822/0/NA0/2
18P2Y12 antagonist1ClopidogrelCLOPIDOGRELEndorsed in Round 11991044/0/NA0/4
19Antiplatelet1DipyridamoleDIPYRIDAMOLEEndorsed in Round 21610600/0/21/1
20P2Y12 antagonist1PrasugrelPRASUGREL HCLEndorsed in Round 11771044/0/NA0/4
21P2Y12 antagonist1TicagrelorTICAGRELOREndorsed in Round 124141044/11One item (77%, 77%, 69%) was included after clarity improved.NA0/5
22Selective beta two agonist9TerbutalineTERBUTALINE SULPHATEEndorsed in Round 21812600/0/12Addition of 1 new item2
23Beta adrenoceptor blocking agent8AtenololATENOLOLEndorsed in Round 11911812Breakdown of 1 item into two0/NA0/2
24Beta adrenoceptor blocking agent8MetoprololMETOPROLOL TARTRATEEndorsed in Round 11981121Combining two items into one0/NA0/1
25Selective beta two agonist6SalbutamolSALBUTAMOL SULPHATEEndorsed in Round 21991000/0/22Combining two items into one, addition of 1 item2
26Calcium channel blocker4AmlodipineAMLODIPINE BESYLATEEndorsed in Round 1156921Combining two items into one0/NA0/1
27Calcium channel blocker4DiltiazemDILTIAZEM HCLEndorsed in Round 1146821Combining two items into one0/NA0/1
28Calcium channel blocker4FelodipineFELODIPINEEndorsed in Round 1179821Combining two items into one0/NA0/1
29Calcium channel blocker4NifedipineNIFEDIPINEEndorsed in Round 124111321Combining two items into one0/NA0/1
30Calcium channel blocker4VerapamilVERAPAMIL HCLEndorsed in Round 1189910Combining two items into one01One item (85%, 65%, 85%) did not reach criteria but included as Class SMR (tally with other Ca antagonist).NA0/1
31Cardiac glycoside9DigoxinDIGOXINEndorsed in Round 1178921Combining two items into one0/NA0/1
32Corticosteroid6Beclomethasone DipropionateBECLOMETHASONE DIPROPIONATEEndorsed in Round 12291312Addition of 1 new item0/NA0/2
33Corticosteroid/ Selective beta two agonist6Fluticasone/ SalmeterolSALMETEROL XINAFOATE 25MCG+FLUTICASONE PROPIONATE 125MCGEndorsed in Round 232141800/0/43/3
34Corticosteroid0PrednisolonePREDNISOLONEEndorsed in Round 227131400/1/84Breakdown of 1 item into two4
35N/A6TiotropiumN/ANo SMR endorsed1871100/0/00/0
36Loop diuretic6FrusemideFRUSEMIDEEndorsed in Round 123121122/0/NA0/2
37Factor Xa inhibitor2ApixabanAPIXABANEndorsed in Round 1156922/0/NA0/2
38Factor Xa inhibitor2RivaroxabanRIVAROXABANEndorsed in Round 11551022/0/NA0/2
39N/A9ThyroxineN/ANo SMR endorsed2011910/0/NA0/0
40Insulin2Insulin Isophane humanINSULIN HUMAN ISOPHANE+NEUTRAL 70%/30%Endorsed in Round 11661021Combining two items into one0/NA0/1
41Nitrates8Isosorbide dinitrateISOSORBIDE DINITRATEEndorsed in Round 1157811/0/NA0/1
42Nitrates8Isosorbide mononitrateISOSORBIDE MONONITRATEEndorsed in Round 11661011/0/NA0/1
43Antiplatelet1AspirinASPIRINEndorsed in Round 1148622/0/NA0/2
44N/A3FamotidineN/ANo SMR endorsed1812600/0/10/0
45N/A3LansoprazoleN/ANo SMR endorsed1871100/0/20/0
46N/A3PantoprazoleN/ANo SMR endorsed1981100/0/10/0
47HMG-CoA reductase inhibitor3AtorvastatinATORVASTATINEndorsed in Round 11710721Combining two items into one0/NA0/1
48HMG-CoA reductase inhibitor3SimvastatinSIMVASTATINEndorsed in Round 1147721Combining two items into one0/NA0/1
49Nitrates8Glyceryl TrinitrateGLYCERYL TRINITRATEEndorsed in Round 21811700/0/32Breakdown of 1 item into two2
50Xanthine oxidase inhibitor9AllopurinolALLOPURINOLEndorsed in Round 1159623Addition of 1 new item0/NA0/3
Total911448463736264241480

NA, not applicable; SMR, salient medication reminder.

List of 50 medication entries and endorsement status of statements NA, not applicable; SMR, salient medication reminder.

Salient medication reminders

After the Delphi process, a list of 80 statements on 44 medication entities covering 24 drug classes was compiled as the SMR framework for older adults discharged from hospital care (1) corticosteroids, (2) antiplatelet agents, (3) vitamin K antagonist, (4) insulins; (5) HMG-CoA reductase inhibitor, (6) P2Y12 antagonists, (7) biguanides, (8) calcium channel blockers, (9) penicillin, (10) selective beta-2 agonists, (11) antimuscarinic agents, (12) loop diuretics, (13) ACE inhibitors, (14) angiotensin-II receptor antagonist, (15) nitrates, (16) beta-adrenoceptor-blocking agents, (17) alpha-adrenoceptor-blocking agents, (18) thrombin inhibitors (direct), (19) factor Xa inhibitor, (20) biguanides, (21) sulphonylureas, (22) xanthine oxidase inhibitor, (23) cardiac glycoside and (24) antihistamines (table 2). The HA adopted a stepped-wedge design to launch an autogenerated patient discharge information summary, which was provided at discharge to patients aged ≥65 years by the department of medicine, and included an SMR with the most relevant and important drug-related precautions, and a schedule of follow-up appointments at the HA. Staff were instructed to discuss the provided information with patients or caregivers to help increase their likelihood of self-care and reduce the risk of drug-related adverse events associated with post-discharge errors. Patients or caregivers that required additional information could access it through hospital mobile apps.

Discussion

In the present study, 13 experts from the fields of geriatric medicine, general medicine and pharmacy participated in the Delphi process, reaching a consensus on 80 statements regarding 44 medication entities to be included in the SMR for older adults discharged from acute care. The statements covered medications commonly dispensed to older adults at discharge from hospital in the local context, and included information on side effects and drug-related incidents that may be experienced after discharge. Patients and caregivers should be aware of the warning signs associated with adverse events while being treated at home or in an assisted living facility. The presented process may offer a framework for further development of information martials aimed at other populations or reporting on other medication entities. Previous studies have shown that approximately half of all patients misunderstand at least one in five prescription labels.21 The type and quality of medication information differs between manufacturers and drug entities, presenting a need for standardisation of the type of information provided on commonly dispensed drugs. Using short, simple, and jargon-free statements may help patients understand important information on their regimen.22 23 The Delphi process may help identify, organise and revise statements to achieve relevance and clarity for the target audience. ‘Improved discharge planning’ has been a policy and research recommendation, aimed at streamlining the transition of care from hospital to community settings. Empowering patients to take charge of and actively participate in their care may help prevent medication-related harm.24 The present precautions related to 44 medication classes for older adults may be incorporated into the discharge process and patient education on drug availability and safety. The SMR may help initiate conversations and disseminate information, as well as encourage patients to voice their concerns and ask questions.25 The strengths of this study were the rigorous use of the Delphi process and the representativeness of stakeholders in both the steering group and expert panel. The participating experts differed in their work experience and field of expertise, minimising the risk of bias, which would have been high if only geriatric medicine experts were involved. This approach increased the internal validity of the present study. A limitation of this study was the adoption of consensus discussion to reach the final agreement, instead of voting in a Delphi survey. This approach may have given undue weight to the views of some experts; however, the steering group provided opportunities for the other experts to express their concerns, as required. Another limitation of the present study is the collection of feedback, especially regarding medication reminders from other key stakeholders, such as different groups of patients and nurses was not included, because they are users and distributors, respectively. Their views should be considered alongside those from doctors and pharmacists to improve the SMR.26

Conclusions

Regimen prescriptions should be accompanied by information that may improve patient knowledge, awareness and experience, concurrently, increasing the rates of medication safety and efficacy. Although patients have access to their complete discharge data, the amount and complexity of this information, in particular, in cases of polypharmacy, can be overwhelming to patients and their caregivers. SMRs may help communicate the key precautions and improve the likelihood of desirable treatment outcomes.
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Review 2.  Advancing Best Practices for Prescription Drug Labeling.

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Journal:  Ann Pharmacother       Date:  2015-09-09       Impact factor: 3.154

3.  Incidence of Medication-Related Harm in Older Adults After Hospital Discharge: A Systematic Review.

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Journal:  J Am Geriatr Soc       Date:  2018-07-04       Impact factor: 5.562

4.  Best-practices for the design and development of prescription medication information: A systematic review.

Authors:  Rebecca J Mullen; James Duhig; Andrea Russell; Linda Scarazzini; Fabio Lievano; Michael S Wolf
Journal:  Patient Educ Couns       Date:  2018-03-08

5.  Medication adherence: is it a hidden drug-related problem in hidden elderly?

Authors:  Vivian W Y Lee; Kathy K W Pang; Ka Chun Hui; Jennifer C K Kwok; Siu Ling Leung; Doris Sau Fung Yu; Diana Tze Fan Lee
Journal:  Geriatr Gerontol Int       Date:  2013-03-03       Impact factor: 2.730

6.  Patients' problems with new medication for chronic conditions.

Authors:  N Barber; J Parsons; S Clifford; R Darracott; R Horne
Journal:  Qual Saf Health Care       Date:  2004-06

7.  Lost in transition: challenges and opportunities for improving the quality of transitional care.

Authors:  Eric A Coleman; Robert A Berenson
Journal:  Ann Intern Med       Date:  2004-10-05       Impact factor: 25.391

8.  Drug non-adherence and associated risk factors among Chinese geriatric patients in Hong Kong.

Authors:  P W Lam; C M Lum; M F Leung
Journal:  Hong Kong Med J       Date:  2007-08       Impact factor: 2.227

9.  Words that make pills easier to swallow: a communication typology to address practical and perceptual barriers to medication intake behavior.

Authors:  Annemiek J Linn; Julia Cm van Weert; Barbara C Schouten; Edith G Smit; Ad A van Bodegraven; Liset van Dijk
Journal:  Patient Prefer Adherence       Date:  2012-12-11       Impact factor: 2.711

Review 10.  Harms from discharge to primary care: mixed methods analysis of incident reports.

Authors:  Huw Williams; Adrian Edwards; Peter Hibbert; Philippa Rees; Huw Prosser Evans; Sukhmeet Panesar; Ben Carter; Gareth Parry; Meredith Makeham; Aled Jones; Anthony Avery; Aziz Sheikh; Liam Donaldson; Andrew Carson-Stevens
Journal:  Br J Gen Pract       Date:  2015-12       Impact factor: 5.386

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