Abstract
Objective
To review, categorize, and synthesize findings from the literature about the application of health information technologies in geriatrics and gerontology (GGHIT).
Materials and Methods
This mixed-method systematic review is based on a comprehensive search of Medline, Embase, PsychInfo and ABI/Inform Global. Study selection and coding were performed independently by two researchers and were followed by a narrative synthesis. To move beyond a simple description of the technologies, we employed and adapted the diffusion of innovation theory (DOI).
Results
112 papers were included. Analysis revealed five main types of GGHIT: (1) telecare technologies (representing half of the studies); (2) electronic health records; (3) decision support systems; (4) web-based packages for patients and/or family caregivers; and (5) assistive information technologies. On aggregate, the most consistent finding proves to be the positive outcomes of GGHIT in terms of clinical processes. Although less frequently studied, positive impacts were found on patients’ health, productivity, efficiency and costs, clinicians’ satisfaction, patients’ satisfaction and patients’ empowerment.
Discussion
Further efforts should focus on improving the characteristics of such technologies in terms of compatibility and simplicity. Implementation strategies also should be improved as trialability and observability are insufficient.
Conclusions
Our results will help organizations in making decisions regarding the choice, planning and diffusion of GGHIT implemented for the care of older adults.
Keywords: Health information technology, chronic disease, diffusion of innovation, geriatrics, gerontology
Background and significance
Health information technology (HIT) has the potential to improve the access, quality, safety and efficiency of patient care.1 2 The use of HIT may be particularly helpful in the care of older patients.3 Older patients often have multiple acute and chronic problems that require ongoing management by a variety of medical professionals in a variety of settings.4 Advanced age, the need for assistance with activities of daily living, and multiple active chronic illnesses place the older adult at greatest risk of poor-quality care and suboptimal transition between care settings.5 6 The large size and accelerating growth of the community-dwelling dependent population, together with growing expectations for patient-centered services, are creating a need for the development and use of new information technologies.4 7 8
A review of integrated/transitional care and hospital-at-home models reveals that many models of care for older adults have a HIT component.9 10 Studies have shown that HIT has certain well-known benefits such as improved quality and efficiency of care.1 However, there are also studies suggesting adverse results.11 12 Furthermore, the diffusion of HIT is occurring very slowly, adoption rates are low and there have been implementation failures.13 14
Many different approaches to developing and implementing health information technologies in geriatrics and gerontology (GGHIT) have been documented in the literature, but to our knowledge, there has been no attempt to synthesize the information in these published studies. Such a synthesis may provide guidance on strategies for the successful implementation of GGHIT. In this paper we present a mixed systematic review of GGHIT. The specific objectives of this review are: (1) to provide a typology of the different applications of GGHIT; (2) to determine both the positive and negative outcomes of various applications of GGHIT; and (3) to identify the factors that contribute to or hinder the successful implementation of specific GGHIT.
Methods
Design
A mixed method systematic review,15 in which evidence extracted from different sources is integrated to identify patterns and directions in the findings, was undertaken because it is particularly appropriate for understanding complex phenomena such as the adoption of innovations.16 17 This method, recognized by the Cochrane Collaboration for systematic reviews of intervention,18 can determine the effectiveness — or lack thereof — of different interventions and the conditions for their success or failure.17 18 The mixed review is presented according to PRISMA criteria:19 (1) eligibility criteria; (2) information source and search strategy; (3) study selection; (4) data collection process and synthesis of results; and (5) critical appraisal.
Eligibility criteria
The studies that met the inclusion criteria were those that reported on the assessment of GGHIT, and reported factors influencing the implementation of GGHIT. In the review, we considered all types of GGHIT, including HIT with low technical characteristics such as telephones. Articles were excluded if they were focused solely on describing the design or development of GGHIT or dealt with educational technologies.
Information sources and search strategy
The review is based on a systematic, comprehensive search of four databases: Medline, Embase, PsychInfo and ABI/Inform Global. Articles in English or French, published or in press between January 2000 and April 2010, were considered. The literature search was performed by a librarian and validated by a researcher. The following two sets of keywords and terms were searched in combination:
Information technology (Information Technology; Medical Informatics; Computers; Medical Records Systems; Medical Informatics; Hospital Information Systems; Internet; Local Area Networks; Telemedicine; Educational Technology; Information Systems; Automated Information Processing; Computer Applications; Computer Mediated Communication; Electronic Communication)
Geriatrics/Gerontology (Geriatrics; Geriatric Dentistry; Geriatric Nursing; Geriatric Psychiatry; Geriatric Assessment; Geriatric Patients; Older patients; Gerontology)
We hand-searched the reference lists of all the selected references. EndNote software was used to manage the references and eliminate duplications.
Study selection
Study selection was performed independently by two researchers. First, references were selected based on title and abstract according to the review study's inclusion and exclusion criteria. When there was any doubt, the study was provisionally included for consideration on the basis of a reading of the full text. The second round of selection was based on the full text of the papers. Any disagreement was resolved through consensus by two other researchers. Kappa scores were calculated at each stage (see figure 1).
Data collection and synthesis
Data extraction from the selected studies was performed independently by two researchers using a standardized form. To synthesize data, we first conducted a narrative synthesis of the heterogeneity of study characteristics.20 We used the validated methodological guide for narrative syntheses,20 which allowed us to first develop a typology of GGHIT by creating homogeneous subgroups.20 Our analysis goes beyond the denomination of these GGHIT used by the studies’ authors. First, it encompasses the technologies’ critical characteristics: functionalities, potential users (stakeholder clinicians or patients), and rationales in terms of the processes that the GGHIT are intended to support/improve. Second, we analyzed our results using the diffusion of innovation theory (DOI).21 This theory states that the DOI process is influenced by five characteristics of the innovation:21 relative advantage (the degree to which an innovation is perceived as better than the idea it supersedes), compatibility (the degree to which an innovation is perceived as being consistent with the existing values, past experiences and needs of potential adopters), simplicity (the degree to which an innovation is perceived as not difficult to understand and use), trialability (the degree to which an innovation may be experimented with on a limited basis) and observability (the degree to which the results of an innovation are understandable to individuals or known by the community). In order to move beyond a simple description of the technologies, we refined the DOI framework and created three categories that allowed us to differentiate between the technology per se, its implementation and its specific outcomes. In the data collection and synthesis phase, any disagreement was resolved through consensus.
Critical appraisal
The methodological quality of the studies was assessed independently by two researchers. As the methods of the included studies were disparate—qualitative, quantitative, or mixed—we used all nine criteria of a quality assessment tool developed for systematic reviews of disparate data.22 Once again, any discrepancies were resolved through consensus. No study was excluded on the basis of its quality, as our primary objective was to gain knowledge on the nature of GGHIT. However, we conducted a sensitivity analysis18 in order to assess whether the decision to include each study independent of its quality had a major effect on the results of the review.
Results
The primary search yielded 658 references (figure 1). Another four references were found by searching the reference lists of the retrieved articles (N=662). Applying the inclusion and exclusion criteria, 410 references were excluded on the basis of the title and abstract (κ 0.89) and 140 were excluded on the basis of the full text (κ 0.91). The final sample consisted of 112 articles.
Characteristics of the selected studies
Fifty-seven per cent of the studies were conducted in North America—USA (53%) and Canada (4%)—and one in South America (1%) (see supplementary appendix 1, available online only). The remaining studies were conducted in Europe (20%), Asia (13%) and Oceania (8%). Two studies were conducted in multiple countries (2%). Most of the study designs were quantitative (61%). Of these, only 13% were based on a randomized controlled trial. Other quantitative designs were quasi-experimental design (27%), observational study (14%) or survey (6%). The rest of the studies employed qualitative (32%) or mixed method designs (7%).
The settings were mainly patients’ homes (38%), long-term care facilities (22%), hospitals (21%), medical centers (5%), universities (1%) and multiple sites (10%). The subjects were only patients (68%), both patients and professionals (14%), or multiple healthcare professionals (10%).
Typology of GGHIT
The analysis of the literature revealed five types of GGHIT (described in table 1). While telecare technologies are the focus of exactly 50% of the selected articles,23–77 other GGHIT were less frequently studied: electronic health records (EHR) (12.5% of the selected articles),78–91 decision support systems (DSS) (13.4%),92–106 web-based packages for patients/family caregivers (11.6%),107–119 and assistive information technologies (12.5%).120–133
Table 1.
Type of HIT N=112 |
Core functionalities | Rationale–goals–potential interest | Other denominations |
---|---|---|---|
Telecare 56 articles (50%) |
Enables remote diagnoses, monitors patient health status, provides case management or rehabilitation | ▸ Shift in care from hospitals to ambulatory settings ▸ Response to the shortage of professionals ▸ Decreased impact of remoteness ▸ Availability of medical and specialized expertise ▸ Improved working conditions ▸ Avoidance of clinician travel time ▸ Optimal use of nurses’ time |
Teleconsultation, telemonitoring, remote case management, telerehabilitation |
EHR 14 articles (12.5%) |
Provides a structured repository of patient medical information generated by one or more encounters—without a decision-support system | ▸ Access to patient information ▸ Collaboration and coordination among team members ▸ Access to patient information from multiple locations ▸ Database of structured and complete information ▸ Patient self-management |
EHR, electronic nursing record, computerized patient care record, electronic medical record, personal health records, electronic geriatric assessment tools, e-prescribing, computer generated reports/summaries, chronic disease registries without DSS |
DSS 15 articles (13.4%) |
Guides healthcare professionals in their decision making | ▸ Better quality and safety of care (eg, avoiding adverse drug events) ▸ Avoidance of failures to apply evidence-based medicine ▸ Standardized care |
Electronic reminders/alerts, computerized order entry with DSS, computerized monitoring of drug levels, electronic guidelines, electronic care plan development, chronic disease registries with DSS (reminders, computerized clinical guidelines, ordering guidance, etc) |
Web-based packages and social media for patients/family caregivers 13 articles (11.6%) |
Provides health information/support for patients/family caregivers by telephone, telecomputing, web-based information | ▸ Access to scientific information ▸ Patient self-management ▸ Increased coping strategies ▸ May break isolation ▸ Alleviate family burden and anxiety |
Web-based health information, health web sites, e-health web portals, caregiver support online |
Assistive information technology 14 articles (12.5%) |
Helps an individual to perform a task safely | ▸ Independent living for elderly people ▸ Access to assistance for patients in the context of insufficiently available human/financial resources ▸ Improved safety ▸ Improved quality of life, well-being for patients |
Smart home, gerontechnology, domotics, robotic technology (service/assistant robots, robotic pets), automated pill dispensers, PDA |
DSS, decision support systems; EHR, electronic health records; HIT, health information technology; PDA, personal digital assistant.
Methodological quality of the studies
The critical appraisal of the studies selected in our review reveals that the robustness of the research methods used in gerontology and geriatrics for studying health informatics varies across studies (table 2). Indeed, weaknesses were observed in the descriptions of methods, particularly a lack of detailed information on the sampling methods used (assessed as fair, poor or not reported in 67% of the studies) and on the data analysis (assessed as fair, poor or not reported in 60% of the studies). Furthermore, the studies rarely report on ethical aspects and risks of bias. The research findings and results and the implications and usefulness of the studies were rated as good or fair in 94% and 88% of the studies, respectively.
Table 2.
Good | Fair | Poor | Very poor | NA | NR | |
---|---|---|---|---|---|---|
Abstract | 84 (75) | 28 (25) | 0 (0) | 0 (0) | 0 (0) | 0 (0) |
Introduction and aims | 64 (57) | 48 (43) | 0 (0) | 0 (0) | 0 (0) | 0 (0) |
Method and data | 56 (50) | 45 (40) | 9 (8) | 1 (1) | 0 (0) | 1 (1) |
Sampling | 35 (31) | 41 (37) | 24 (21) | 0 (0) | 2 (2) | 10 (9) |
Data analysis | 45 (40) | 48 (43) | 11 (10) | 0 (0) | 0 (0) | 8 (7) |
Ethics and bias | 34 (30) | 2 (2) | 1 (1) | 0 (0) | 0 (0) | 75 (67) |
Findings/results | 44 (39) | 61 (55) | 7 (6) | 0 (0) | 0 (0) | 0 (0) |
Transferability/generalizability | 32 (29) | 65 (58) | 15 (13) | 0 (0) | 0 (0) | 0 (0) |
Implications and usefulness | 33 (30) | 65 (58) | 14 (12) | 0 (0) | 0 (0) | 0 (0) |
NA, not applicable; NR, not reported.
We also performed the critical appraisal for each type of GGHIT (see supplementary appendix 2, available online only). The results show that the quality of the studies is similar from one type of GGHIT to another, except that method/data and sampling were rated as ‘good’ in studies involving DSS slightly more often than studies involving other types of GGHIT.
In addition, a sensitivity analysis19 was conducted to determine whether the decision to include all the studies, independent of their overall quality, had any effect on the results of the review. Even when we excluded the articles with at least one bad quality indicator (eg, rated as very poor or not reported with regard to methods and data, sampling, data analysis), the findings of this review remained consistent.
Outcomes, technology and implementation of GGHIT
Global results
As the study results in table 3 show, on aggregate, GGHIT translate into positive outcomes. Impact on clinical processes was the outcome most frequently studied and almost all of the 65 studies that looked at it had positive results (94%). Only 25 studies examined impacts on patients’ health outcomes, of those 96% reported a positive outcome. Similarly, 27 out of 33 studies (82%) that looked at patients’ satisfaction had positive results. Although examined even less frequently, impacts were mainly positive in terms of productivity, efficiency and costs (14/16 studies; 88%), clinicians’ satisfaction (11/13; 85%), and patients’ empowerment (12/15; 80%).
Table 3.
Dimensions | Not reported | N* | + | − | +/− | Ø |
---|---|---|---|---|---|---|
Outcomes | ||||||
Clinical processes | 47 | 65 (100) | 61 (94) | 3 (5) | 0 (0) | 1 (1) |
Patients’ health outcomes | 87 | 25 (100) | 24 (96) | 1 (4) | 0 (0) | 0 (0) |
Productivity, efficiency, costs | 96 | 16 (100) | 14 (88) | 1 (6) | 0 (0) | 1 (6) |
Clinicians’ satisfaction | 99 | 13 (100) | 11 (85) | 2 (15) | 0 (0) | 0 (0) |
Patients’ satisfaction | 79 | 33 (100) | 27 (82) | 5 (15) | 0 (0) | 1 (3) |
Patients’ empowerment | 97 | 15 (100) | 12 (80) | 1 (7) | 0 (0) | 2 (13) |
Technology | ||||||
Compatibility | 70 | 42 (100) | 26 (62) | 14 (33) | 2 (5) | 0 (0) |
Simplicity | 72 | 40 (100) | 22 (55) | 10 (25) | 8 (20) | 0 (0) |
Implementation | ||||||
Trialability | 90 | 22 (100) | 17 (77) | 3 (14) | 2 (9) | 0 (0) |
Observability | 107 | 5 (100) | 3 (60) | 2 (40) | 0 (0) | 0 (0) |
N*, Number of studies for which the dimension was evaluated; +, positive evaluation; −, negative evaluation; +/−, evaluation that was both positive and negative; Ø, no influence.
Despite these positive impacts, there is still room for improvement regarding the characteristics of technology: GGHIT are not always compatible with the values, professional practices, and needs of patients and clinicians (positive compatibility in 62% of the 42 studies), and only 55% of the studies (22/40) found that GGHIT are considered simple to use.
Furthermore, in terms of implementation, the results demonstrate that while 17 out of 22 studies that looked at this issue found positive results (77%), trialability (often reflected as technical support, training and adaptation) is still insufficient. It is also the case for observability (positive for 3/5 studies—60%), which has rarely been studied. The following subsections provide a closer examination of these results for each of the five types of GGHIT identified earlier. Tables 4–8 provide finer-grained information for each dimension.
Table 4.
N* | + | − | +/− | Ø | Examples | |
---|---|---|---|---|---|---|
Outcomes | ||||||
Clinical processes23 30 32–45 47 50 52 56 57 60–62 64–66 71–74 77 | 32 (100) | 31 (97) | 1 (3) | 0 (0) | 0 (0) | + Increased quality of care, continuity, timely access; improved uptake of preventive care, assessment and monitoring; decreased errors − Failure to take into account complex cases |
Patients’ health outcomes,25–29 41 42 55 56 59 63 66 68 73 107 | 15 (100) | 15 (100) | 0 (0) | 0 (0) | 0 (0) | + Improved blood test results, functional/cognitive autonomy, quality of life; decreased mortality |
Productivity, efficiency, costs30 33 36 37 45 52 56 62 63 69 71 76 | 12 (100) | 11 (92) | 0 (0) | 0 (0) | 1 (8) | + Decreased emergency department visits and hospitalization; cost savings; decreased physician time; increased number of patients cared for |
Clinicians’ satisfaction39 46 52 55 63 71 76 | 7 (100) | 7 (100) | 0 (0) | 0 (0) | 0 (0) | + The clinicians are highly satisfied; viewed favorably and highly acceptable |
Patients’ satisfaction24 28 31 33 35 36 39 41 46–49 51–55 60 66 70 76 | 21 (100) | 16 (76) | 5 (24) | 0 (0) | 0 (0) | + Increased sense of personal safety and security; increased user satisfaction; patients preferred a remote interview close to their homes to an in-person interview at a distance; patients perceived the system as a valuable resource that offered great potential − Obtrusiveness; lack of user friendliness; inaccurate measurement; threat as a replacement for visits; interference with daily activities; privacy concerns |
Patients’ empowerment26 28 41 67 77 107 | 6 (100) | 6 (100) | 0 (0) | 0 (0) | 0 (0) | + Self-confidence; self-efficacy |
Technology | ||||||
Compatibility24 35 38 41 42 46–48 51 54 55 60 66 68 70 71 73–77 | 21 (100) | 16 (76) | 4 (19) | 1 (5) | 0 (0) | + Compatible with the existing relationships between patients and clinicians; adapt well to the context; feasible; acceptable − Poor fit with the patient's preference for face-to-face contact; not well suited to physically impaired persons; privacy issues |
Simplicity24 30 31 33 35 40 42 46–48 50 53 55 60 66 67 71 75 77 | 19 (100) | 9 (47) | 7 (37) | 3 (16) | 0 (0) | + Easy to use − Technical difficulties and lack of user-friendliness; information overload |
Implementation | ||||||
Trialability46 47 53 60 73 76 77 | 7 (100) | 7 (100) | 0 (0) | 0 (0) | 0 (0) | + The more that participants use it, the more comfortable they feel with it |
Observability35 70 | 2 (100) | 1 (50) | 1 (50) | 0 (0) | 0 (0) | + Observability is evaluated as positive − Nurses’ negative perception of the technology's aesthetics |
N*, Number of studies for which the dimension was evaluated; +, positive evaluation; −, negative evaluation; +/−, evaluation that was both positive and negative; Ø, no influence.
Table 5.
N* | + | − | +/− | Ø | Examples | |
---|---|---|---|---|---|---|
Outcomes | ||||||
Clinical processes79 81–91 | 12 (100) | 11 (92) | 1 (8) | 0 (0) | 0 (0) | + Improved communication; increased accuracy of records; better detection and assessment; improved quality of care; decreased medication use − Low timeliness of data reporting; lack of sensitivity to health status change |
Patients’ health outcomes80 | 1 (100) | 1 (100) | 0 (0) | 0 (0) | 0 (0) | + Quality of life |
Productivity, efficiency, costs80 88 | 2 (100) | 2 (100) | 0 (0) | 0 (0) | 0 (0) | + Efficiency of resources use; cost saving |
Clinicians’ satisfaction78 79 84 88 | 4 (100) | 2 (50) | 2 (50) | 0 (0) | 0 (0) | + Employee satisfaction; satisfaction regarding informational functionality of software − Fax was the most preferred method for communication of discharge summaries; limited ability to comply with suggestions |
Technology | ||||||
Compatibility84 88 90 91 | 4 (100) | 0 (0) | 3 (75) | 1 (25) | 0 (0) | − Poor ergonomics; loss of human contact; privacy issues |
Simplicity78 79 81 82 85 88 | 6 (100) | 3 (50) | 1 (17) | 2 (33) | 0 (0) | + Easy to use − Difficulties may arise when using EHR; not user friendly; and technical problems; confusing |
Implementation | ||||||
Trialability78 79 85 87 88 91 | 6 (100) | 3 (50) | 3 (50) | 0 (0) | 0 (0) | + Suitable technical support − Insufficient or inadequate training; insufficient support |
Observability78 88 91 | 3 (100) | 2 (67) | 1 (33) | 0 (0) | 0 (0) | + Good observability − Lack of awareness about EHR |
N*, Number of studies for which the dimension was evaluated; +, positive evaluation; −, negative evaluation; +/−, evaluation that was both positive and negative; Ø, no influence.
EHR, electronic health records.
Table 6.
N* | + | − | +/− | Ø | Examples | |
---|---|---|---|---|---|---|
Outcomes | ||||||
Clinical processes92–95 98 99 101–106 | 12 (100) | 11 (92) | 1 (8) | 0 (0) | 0 (0) | + Improved quality of care; decreased errors and adverse drug events; improved assessment and detection; improved communication − Information content of the reminders |
Patients’ health outcomes100 | 1 (100) | 1 (100) | 0 (0) | 0 (0) | 0 (0) | + Decreased mortality |
Productivity, efficiency, costs92 100 | 2 (100) | 1 (50) | 1 (50) | 0 (0) | 0 (0) | + Decreased hospital use; cost savings − Increased time spent by physicians |
Clinicians’ satisfaction92 | 1 (100) | 1 (100) | 0 (0) | 0 (0) | 0 (0) | + Satisfaction score with regard to clinical value |
Patients’ satisfaction95–97 | 3 (100) | 3 (100) | 0 (0) | 0 (0) | 0 (0) | + Easy to understand and use; enjoyable to use |
Technology | ||||||
Compatibility92 95 96 98 104 | 5 (100) | 3 (60) | 2 (40) | 0 (0) | 0 (0) | + Fits with current workflow − Decreased clinical autonomy; time needed to read the reminders |
Simplicity92 95 96 98 101 | 5 (100) | 3 (60) | 1 (20) | 1 (20) | 0 (0) | + Easy to use − Difficult to use; too many reminders; information content is complex |
Implementation | ||||||
Trialability98 101 | 2 (100) | 2 (100) | 0 (0) | 0 (0) | 0 (0) | + Special modifications can be made to the software in response to the uniqueness of the setting |
N*, Number of studies for which the dimension was evaluated; +, positive evaluation; −, negative evaluation; +/−, evaluation that was both positive and negative; Ø, no influence.
DSS, decision support systems.
Table 7.
N* | + | − | +/− | Ø | Examples | |
---|---|---|---|---|---|---|
Outcomes | ||||||
Clinical processes113 114 116 | 3 (100) | 2 (67) | 0 (0) | 0 (0) | 1 (33) | + Improved relationship with careers, families |
Patients’ health outcomes109 111 120 | 3 (100) | 2 (67) | 1 (33) | 0 (0) | 0 (0) | + Decrease mental health problems − Increase physical and mental health problems |
Patients’ satisfaction112 113 120 | 3 (100) | 2 (67) | 0 (0) | 0 (0) | 1 (33) | + High interest in on-line health information |
Patients’ empowerment108 110–112 114 115 117–119 | 9 (100) | 6 (67) | 1 (11) | 0 (0) | 2 (22) | + Confidence; self-efficacy; self-control − Knowledge of how to search for information |
Technology | ||||||
Compatibility108 112 115 119 | 4 (100) | 2 (50) | 2 (50) | 0 (0) | 0 (0) | + Compatibility is assessed positively − Not compatible with patients’ disabilities |
Simplicity115 119 120 | 3 (100) | 1 (33) | 1 (33) | 1 (33) | 0 (0) | + Easy to use − Problems finding information; absence of a user's guide; language barriers |
Implementation | ||||||
Trialability108 111 115 119 | 4 (100) | 2 (50) | 0 (0) | 2 (50) | 0 (0) | + Focus on new learner needs; access to an instructor; peer training assistants; support by a technical worker − Insufficient time for exploration |
N*, Number of studies for which the dimension was evaluated; +, positive evaluation; −, negative evaluation; +/−, evaluation that was both positive and negative; Ø, no influence.
Table 8.
N* | + | − | +/− | Ø | Examples | |
---|---|---|---|---|---|---|
Outcomes | ||||||
Clinical processes121 122 124 125 127 130 | 6 (100) | 6 (100) | 0 (0) | 0 (0) | 0 (0) | + Improved assistance, detection of falls, monitoring of health parameters; increased communication; improved dietary intake |
Patients’ health outcomes122 129 131 133 134 | 5 (100) | 5 (100) | 0 (0) | 0 (0) | 0 (0) | + Decreased agitation, depression; increased communication; decreased pain |
Clinicians’ satisfaction128 | 1 (100) | 1 (100) | 0 (0) | 0 (0) | 0 (0) | + Useful to manage patients’ health conditions |
Patients’ satisfaction121 126 127 129 131 132 | 6 (100) | 6 (100) | 0 (0) | 0 (0) | 0 (0) | + Patients enjoyed using PDA; non-obtrusiveness of technology; positive attitude towards system |
Technology | ||||||
Compatibility122–127 129 130 | 8 (100) | 5 (63) | 3 (38) | 0 (0) | 0 (0) | + Acceptable; appropriate − Privacy issues; bulky nature of the devices |
Simplicity121–124 127–129 | 7 (100) | 6 (86) | 0 (0) | 1 (14) | 0 (0) | + Easy to use − Problems using the devices |
Implementation | ||||||
Trialability123 127 128 | 3 (100) | 3 (100) | 0 (0) | 0 (0) | 0 (0) | + Training and adaptability of assistive technologies; the more that participants use the technology, the more comfortable they feel with it |
PDA, personal digital assistant.
Telecare technologies
A vast majority of studies evaluated the outcomes of telecare technologies (table 4) as positive in terms of clinical processes (31/32; 97%), patients’ health outcomes (15/15; 100%), productivity, efficiency and costs (11/12; 92%), clinicians’ satisfaction (7/7; 100%), patients’ satisfaction (16/21; 76%) and patients’ empowerment (6/6; 100%).23–77 107 In terms of the technology, compatibility was positive in 76% of the studies (16/21). However, telecare technologies were perceived as easy to use in less than half of the studies (9/19; 47%). Regarding implementation, all the seven studies that evaluated trialability had positive results. Results for observability were mixed (1/2 was positive).
Electronic health records
In terms of outcomes, the synthesis of the selected studies (table 5) shows that EHR use led to positive impacts on clinical processes (11/12; 92%).78–91 Other outcomes were studied less frequently but results were positive overall except for clinicians’ satisfaction. Concerning the technology, EHR were found not to be compatible with current values, professional practices and needs of patients and clinicians in a majority of the studies (3/4; 75%). EHR were considered simple to use in only half of the studies (3/6; 50%). With regard to implementation, half of the studies gave a negative evaluation of trialability (3/6; 50%). Two out of three studies found observability to be positive (67%).
Decision support systems
The majority of the studies (table 6) found that DSS led to positive outcomes regarding impacts on clinical processes (92% of the 12 studies for which this dimension was evaluated).92–106 Other outcomes were studied less frequently but were generally positive except for productivity (1/2; 50%). Regarding the technology, most of the studies reported compatibility (3/5; 60%) and simplicity (3/5; 60%) for DSS. With regard to implementation, both studies that considered trialability were positive (100%). None of the studies evaluated the observability of DSS.
Web-based packages for patients or family caregivers
The synthesis of the selected studies (table 7) shows that web packages for patients and/or family caregivers led to positive outcomes particularly with regard to patients’ empowerment (6/9; 67%), which was most frequently studied.108–120 The other outcomes were studied less frequently but were generally positive. In terms of the technology, compatibility received a positive evaluation in half of the four studies that looked into this issue (50%). The web packages were evaluated as easy to use in only one out of three studies (33%). In terms of implementation, trialability was found to be positive in two out of four studies (50%). None of the studies evaluated the observability of web packages.
Assistive information technologies
A few studies for which outcomes were evaluated show that assistive information technologies (table 8) led to positive impacts on clinical processes (6/6; 100%), patients’ health outcomes (5/5; 100%), clinicians’ satisfaction (1/1; 100%) and patients’ satisfaction (6/6; 100%).121–133 In terms of the technology, the compatibility of assistive technologies received positive evaluation in most of the cases (5/8; 63%). Almost all the seven studies confirm that assistive devices are easy to use (6/7; 86%). In terms of implementation, three studies positively evaluated trialability (100%). None of the studies evaluated the observability of assistive information technologies.
Discussion
Our study identifies five major types of GGHIT, highlights their respective impacts as described in the literature, and offers a conceptual framework to understand better how these technologies are currently used and diffused. We believe that our use and adaptation of a sound theoretical foundation, the DOI theory increases the relevance and generalizability of our results in addition to facilitating the accumulation of knowledge over time.135 We adapted DOI to frame our results into three categories. First, we identified the main outcomes of GGHIT in terms of their relative advantage. We further identified a subset of specific outcomes: impacts on clinical processes, patients’ health outcomes, productivity, efficiency and costs, clinicians’ satisfaction, patients’ satisfaction and empowerment, which is responsive to researchers who ‘have criticized the rather general nature of relative advantage as being an aggregate of benefits, claiming that this makes the construct too vague to measure effectively’.136 Second, we highlighted the principal characteristics of these GGHIT in terms of their compatibility with existing values and practices and their simplicity. Third, we identified the role of trialability and observability in facilitating the implementation process.137
Our systematic review reveals on the one hand that, when looking at relative advantage, the use of GGHIT translates into positive outcomes mostly with regard to clinical processes. For instance, EHR have been shown to improve the quality of care83 with fewer total medications per patient,79 improved patient histories and physical examination assessments,81 and better documentation of patient health status.91 92 Despite the fact that the following outcomes have not been extensively looked at, our study also reveals a positive, yet relatively less consistent, impact of GGHIT on patients’ health outcomes, productivity, efficiency and costs, clinicians’ satisfaction, patients’ satisfaction and empowerment. For example, telecare technologies have been shown to improve health outcomes (health status or functional health)27 28 41 63 66 and help in disease control,59 and DSS have been found to increase clinicians’ awareness of patient safety risks.101 Overall, our systematic review indicates that GGHIT may play a critical role in ensuring appropriate care for older patients.
On the other hand, our research results confirm that there is no ‘one size fits all’ solution. Healthcare clinicians and managers need to select carefully the type of GGHIT that will be the most appropriate based on the needs of their organizations and clienteles.138 The acquisition of dependable hardware and software appears an absolute necessity. Equally important, the choice of technology should also take into account its compatibility with the overall organizational system.2 35 139 Indeed, extant research shows that compatibility is often negatively evaluated by HIT users,90 92 93 in particular due to a loss of human contact and privacy issues90 or because of a perception of decreased clinical autonomy.94 100 In addition, among the most important challenges faced in age-related care is the issue of simplicity, which includes the development of systems that are truly user friendly and user oriented.140 If GGHIT are difficult to use, for example, when there are too many reminders or when the information content is complex,94 it may become a barrier to adoption and use.
Our results also indicate that to maximize the implementation success of GGHIT, it is essential to identify the best methods of integrating the use of HIT into clinicians’ routine workflow. Our study highlights the role of observability and trialability in the implementation dynamic. In this perspective, repetitive testing seems to improve initial system use.141 The education and training of users are also crucial.140 More specifically, results suggest that it is important to ensure timely user support, to document system problems and provide prompt feedback.142
Our review has some limitations. As explained in the critical appraisal section, the quality of the studies included varies considerably. Nevertheless, a sensitivity analysis did not reveal that inclusion of poor quality studies was skewing the results. Our review may also suffer from publication bias as studies reporting positive outcomes are more frequently published than studies with negative outcomes.18
Conclusion
The typology we propose in this paper can contribute to more informed system selection decisions by healthcare managers and caregivers. The findings of this study can be used by organizations to guide the specific implementation strategies that provide the best chances of success for each type of GGHIT. As it identifies the nature of different GGHIT, as well as many of the benefits and challenges associated with their use, it could be used by organizations to tailor their policies regarding the choice, planning, diffusion, and monitoring of HIT implemented for the care of older adults. Finally, given that the majority of the studies conducted to date deal with telecare technologies, an avenue for future research would be to focus on other types of GGHIT such as EHR, DSS, web packages, etc.
Footnotes
Correction notice: This article has been corrected since it was published Online First. The second author has added an additional affiliation.
Acknowledgements: Muriel Gueriton, librarian, provided support with the literature search. The authors are most grateful to the editors and the reviewers for the guidance provided on their work.
Contributors: IVe: concept and design, data acquisition and analysis, drafting of the manuscript, revision of the manuscript, and approval of the final version. SA: data acquisition and analysis, revision of the manuscript, and approval of the final version. IVa: data acquisition and analysis, revision of the manuscript, and approval of the final version. HB: concept and design, revision of the manuscript, and approval of the final version. LL: concept and design, data acquisition and analysis, drafting of the manuscript, revision of the manuscript, and approval of the final version. IVe and LL are responsible for the overall content as guarantors. The guarantor accepts full responsibility for the work and/or the conduct of the study, had access to the data, and controlled the decision to publish.
Funding: This study received financial support from the Canadian Institutes of Health Research (CIHR - KRS 250478) and the McGill University Dr Joseph Kaufmann Chair in Geriatric Medicine. The sponsors played no role in the study design; the collection, analysis and interpretation of data; the writing of the manuscript; and the decision to submit the manuscript for publication.
Competing interests: None.
Provenance and peer review: Not commissioned; externally peer reviewed.
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