Literature DB >> 31908555

The Use of Measurement Systems to Support Patient Self-Management of Long-Term Conditions: An Overview of Opportunities and Challenges.

Michelle M Holmes1,2, Sabina Stanescu2, Felicity L Bishop2.   

Abstract

Long-term conditions are a major public health concern that present many challenges for patients living with them. There is increasing policy focus on promoting patient self-management and supporting patients to take ownership of managing their conditions. Because long term conditions often fluctuate over time, ongoing monitoring of disease activity is necessary for self-management; this can be achieved through using Patient Reported Outcome Measures (PROMs). PROMs can provide additional information about patients' symptoms, functioning, and emotional wellbeing, informing clinical care for patients. Measurement systems are an innovative method to gather and report PROMs throughout a patient's course of care, to support clinical practice and improve overall quality of care. Measurement systems are often delivered via a digital platform, which can convey patient-reported information to healthcare professionals and provide tailored self-management advice to patients, all based on information collected via PROMs. There are a number of potential benefits of this approach to self-management. Measurement systems can improve clinical practice, creating efficient clinical encounters and positively influencing patient-clinician interactions. The use of monitoring throughout a patient's care is also thought to empower patients, by improving their knowledge of their condition, increasing their engagement with their health, and influencing their overall management of their condition. Challenges associated with using measurement systems in this way include finding appropriate PROMs, provisioning of suitable technology, and limiting the burden for patients. To increase the implementation of measurement systems into practice it is important to consider how to engage and educate healthcare professionals and patients to empower their use. Overall, adopting measurement systems into clinical practice may improve clinicians' ability to support patient self-management of long-term conditions.
© 2019 Holmes et al.

Entities:  

Keywords:  chronic disease; patient outcome assessment; patient reported outcome measures; self-management

Year:  2019        PMID: 31908555      PMCID: PMC6924578          DOI: 10.2147/PROM.S178488

Source DB:  PubMed          Journal:  Patient Relat Outcome Meas        ISSN: 1179-271X


Introduction

With the advances in medicine seen throughout the 20th and early 21st centuries, previously fatal conditions are now being managed for lengthy time periods, resulting in large numbers of people living with long-term conditions. Long-term conditions are defined as “a condition that cannot, at present, be cured but controlled by medication and/or other treatment/therapies”.1 There is an increasing prevalence of long-term conditions in the UK: over fifteen million people in England have a long-term condition and this is projected to rise to 18 million by 2025.2 According to the World Health Organisation (WHO), long term conditions such as heart disease, stroke, cancer, diabetes and chronic lung disease are responsible for almost 70% of deaths worldwide, 80% of which could have been prevented if management strategies were effective.3 Recently, there has been a paradigm shift in health care, from an illness-focused approached, to a person-centred approach; within this paradigm, one important aim is to achieve better quality of life for individuals with long-term conditions. As well as commissioning services and providing care, policy makers are encouraging patients to take an active role in managing their health. The person-centred approach advocates patient self-management, which refers to any action taken by people to recognise, treat and manage their own health or chronic conditions, either independently or in conjunction with the healthcare system.4 In this context, self-management of chronic illness involves patients recognising their health needs and performing health promotion activities, activating healthcare resources, obtaining support, as well as ongoing processing and adjustment to living with a chronic illness.5,6 Related to self-management, taking ownership of one’s health is crucial to achieving positive outcomes and better quality of life.7 However, self-management is not straight forward and can be challenging for many patients. It is therefore important to develop methods to support and empower patients to self-manage. Patient reported outcome measures (PROMs) and their implementation within measurement systems constitute one promising approach to supporting patient self-management of long-term conditions. PROMs are standardized instruments for collecting patients’ perceptions of and views about their health.8,9 PROMs can capture valuable information on the outcomes that are meaningful to patients, including symptoms, functioning, and emotional wellbeing10 as well as capturing patients’ broader perspectives on their health; they often use continuous measures that permit nuance and subjectivity.11 They can be used by clinicians to inform clinical care, extending clinical knowledge beyond test results (which can be poorly correlated with clinical status and quality-of-life)12 and encouraging clinicians to attend to issues that are important to patients such as treatment burden and function.13 Measurement systems are an innovative digital method to gather and report PROMs throughout a patient’s course of care, conveying patient-reported information to healthcare professionals and provide tailored self-management advice to patients based on information collected via PROMs. Historically self-management interventions have been delivered in person by healthcare professionals.4 However, measurement systems are often delivered via electronic platforms, opening up opportunities for other modes of encouraging and facilitating self-management. And PROMs can be implemented through these measurement systems, facilitating patient self-monitoring of their own health and disease activity, prompting them to reflect and act upon their own data and providing this information to healthcare professionals.14 When patients have access to their own data, they can adjust their self-management activities accordingly. Additionally, these systems have the ability to provide tailored self-management advice based on information provided by patients via PROMs.15,16 For patients with long-term conditions, the need for ongoing self-monitoring is particularly salient. Furthermore, the care and follow-up pathways, as well as the relationships with healthcare professionals may be lifelong. Well-designed measurement systems therefore have great potential to help support clinical care and self-management in this population. These systems help by gathering PROMs data not just before and after treatment, but also over the longer term throughout the course of ongoing clinical and self-management. Measurement systems thus offer a strategic long-term approach to monitoring conditions using PROMs to support clinical practice and improve the overall quality of care.17 In this article we will discuss the use of measurement systems for self-management of long-term conditions. The present article outlines theoretical underpinnings and development of using measurement systems and the benefits to clinical practice and patients with long-term conditions. We will also consider the current challenges to the use of these systems and describe facilitators to successful implementation.

Theoretical Perspectives

In the development of any self-management intervention it is essential to consider the theoretical basis explaining how intervention components may elicit positive effects. The theoretical framework underpinning measurement systems for chronic conditions is currently underdeveloped, with theoretical explanations often focusing explicitly on PROMs.18 Additionally, most measurement systems have taken a single-illness approach, i.e., they have focused on monitoring the parameters of a single specific health condition, making it difficult to ascertain an overarching approach that would be appropriate across diverse chronic conditions and multimorbidity. However, in studies with an explicit theoretical basis some theories are applicable across multiple measurement systems. There is a focus in modern medicine to move away from medical decisions based on clinical experience and a “disease-centred” approach, to a personalised, “patient-centred” focus. Patient-centered healthcare is a multidimensional construct, that encompasses viewing the patient as a whole person, sharing power and responsibility, and mutual participation in the consultation and decision-making.19 Patient-centered care is also thought to be associated with the use of measurement systems and PROMs, which may enhance patient-centered care.10,20,21 Indeed, ongoing monitoring through the use of appropriately-broad and patient-centered PROMs (encompassing health-related factors important to the specific patient population rather than having a narrow focus on symptoms) could encourage clinicians to look at the whole person, to focus on each individual’s experience of illness and to engage in shared decision-making with patients. In other words, it could help move clinicians towards preventive, personalised and participatory medicine, provided patients are appropriately supported to take on a more active role in self-management.22 Self-management is rooted in self-efficacy theory, where self-efficacy is the extent to which a person believes in their ability to perform a certain behaviour.23 According to self-efficacy theory, these beliefs can influence individuals’ choices of action, the effort they make to complete tasks, their perseverance and resilience in the face of setbacks, and their experience of stress.24 Individuals with high self-efficacy are more likely to master problems, and to recover from setbacks; as such they find it easier to learn self-management strategies and adhere to them. Patients self-monitoring and receiving information on their health feel they have the appropriate knowledge, skills, and resources to self-manage their condition, which has the potential to improve their self-efficacy for undertaking self-management behaviour.20,25 Self-management is complex and very often undertaken in conjunction with lifestyle choices and in the context of particular relationship dynamics. The Individual and Family Self-management Theory considers both the individual process and wider context when describing the drive for employing self-management strategies.26 As part of the self-management process, patients need the self-regulation skills of goal setting, self-monitoring, decision-making, and reflective thinking. Measurement systems provide opportunities for self-monitoring and reflective thinking and may be important components of self-management interventions conceptualised in these terms.27 Health locus of control refers to the patient’s beliefs about whether the control of health issues derives from external influences or is vested internally by the patient themselves. These beliefs are thought to be based on patients’ past experience of health.28 For effective self-management, internal locus of control needs to be encouraged; i.e., patients believe that they themselves have some control over the management and monitoring of their conditions, rather than believing that only others, such as healthcare professionals, have this control (termed external locus of control).29 Measurement systems provide an opportunity for patients to reinforce internal locus of control as it enables them to be more empowered and engaged in self-managing their health. Finally, a more recent concept, patient activation, has become important in the UK setting. Patient activation refers to knowledge, skills and confidence a person has in managing their own health or condition.30 Patient activation and encouraging self-management have been included in the newly published National Health Service (NHS) Long-Term Plan.31 Measurement systems combine patient activation and engagement by providing feedback and potentially tailored information from self-monitoring to patients that enables them to actively participate in the management of their conditions.

The Development of Electronic Measurement Systems

Whilst existing approaches to PROMs have typically focused on paper-based systems, these can be limiting and inefficient in clinical practice,32,33 burdensome for patients, and subject to missing data.15 Advances in technology have facilitated the development of electronic systems to measure patients’ health. There has been a rise in the use of physiological monitoring tools, including wearable activity trackers.34,35 Electronic systems also allow PROMs to be pragmatically collected, stored and reported in routine clinical practice. A decade ago, researchers were excited by the increasing availability of electronic tools and measurement systems to collect PROMs.33 Now electronic methods for collecting PROMs can include: personal computers, web-based systems, telephone, mobile apps, online diaries, and email reminders.33,36–38 A review of electronic PROM systems in cancer care identified 33 systems, with most (63%) being used throughout treatment and many (40%) for follow-up care.37 Much of the literature around the use of electronic systems to record PROMs has focused on the adaptation of paper PROMs to equivalent electronic PROMs (ePROMs). To retain the same psychometric properties (i.e., validity and reliability) and to be used interchangeably if necessary, ePROMs must have equivalent psychometric properties has the original paper-based questionnaires.39 A Cochrane review found consistency between surveys collected using mobile apps and their paper equivalents.40 The results suggest that the psychometric properties were not compromised when data were collected via apps compared to on paper forms. For example, the Sickle cell disease Mobile Application to Record symptoms via Technology (SMART), is a PROM for patients to monitor their pain that has demonstrated equivalence to a paper-based version of the tool.15 In addition to reducing patient burden, there are several benefits for moving towards electronic instead of paper-based measurement systems. Data processing is more efficient and less error-prone, as data can be scored automatically without requiring data input or transfer between systems.36,41 Data capture can also be more efficient and comprehensive, as PROMs can be readily completed in between clinic visits with minimal additional resources. For patients with rheumatoid arthritis completing self-assessment questionnaires via a website, this automated scoring and continual data capture outside of clinic visits were found to be beneficial in routine clinical practice.42 Patients also prefer using electronic systems to paper, regardless of age, sex, race, or educational level.43 One of the main advantages of electronic systems is the increased access to monitoring that they can afford. Electronic systems mean patients can complete measurements at home when convenient for them. A concern with their implementation in clinical practice is patients having difficulties with accessing and navigating electronic systems. However, in Great Britain it is estimated that 90% of households have internet access, with 73% of adults accessing the internet using a mobile phone.44 The use of mobile apps and web-based systems were previously thought to exclude elderly populations, who are more likely to have (multiple) long-term conditions, and are less likely to use the internet. Recently this does not seem to be the case, with older adults found to be willing and quick to learn to incorporate mobile and digital interventions into the self-management of their conditions.45

Improvements in Clinical Practice

Efficient Clinical Processes

Electronic measurement systems may be a cost-effective intervention to aid self-management of chronic conditions. Patient health status can be monitored remotely, and healthcare professionals can regularly collect data at low cost. This information provided outside of patient-clinician interactions makes monitoring patients less burdensome for healthcare professionals during the clinical encounter aiming to reduce the burden on strained healthcare services and professionals.41,46 Additionally, monitoring patients’ health outside of the clinical encounter is thought to streamline visits to healthcare professionals.47 Measurement systems may also be fully integrated into clinical practice and even replace unnecessary visits to healthcare professionals. An example is the AmbuFlex, a web-based measurement system for patients with chronic or malignant conditions.17 This system makes automated decisions in which the information provided by patients through PROMs identifies patients who need to attention from a healthcare professional. Systems integrated in this way may reduce the treatment burden with patients requiring fewer visits to healthcare professionals for follow-ups with their condition.48 Systems can also be used to monitor changes in patients’ symptoms with the opportunity for healthcare professionals to then intervene, request to see a patient, and modify treatment. One example of this, is patients undergoing treatment for head and neck cancer to record symptoms and side-effects of treatment via a mobile app.49 This approach is thought to be a potentially effective way to avoid the progression of symptoms, delay in diagnosis, undertreatment, and hospital readmission. If measurement systems are used routinely, this may reduce unnecessary visits and reduce the burden on healthcare services.

Patient-Clinician Interaction

Integrating technology and PROMs through measurement systems has the potential to improve healthcare services by influencing patient-clinician interactions.46 Previous frameworks have been developed to understand the theory behind the use of PROMs in clinical practice. Santana and Feeny (2014) propose that PROMs have a cascading effect, with completion of PROMs eventually leading to improvements in outcomes.50 The authors theorized that completing PROMs may influence communication, raising patient awareness of symptoms and facilitating patient communication of symptoms to clinicians, as well as encouraging clinicians to discuss issues picked up by the PROMs that might not otherwise have been raised in consultations. PROMs can change clinicians understanding of their patients’ needs and expand their focus to a wide range of issues related to a patients’ condition and symptoms.51 Patients feel that if clinicians read the information they have provided, they will gain a deeper understanding of their experience with their condition.36 Healthcare professionals have better insight into the disease activity and identification of issues that may have previously gone undetected.48 For example, healthcare professionals using a mobile-based PROM system for patients with complex needs reported that PROMs provided them with additional information on patients’ wellbeing.52 The use of PROMs is thought to improve patient-clinician interaction by promoting clear communication with healthcare professionals and as a prompt for conversation.36 Patients feel that this data helps focus healthcare professionals on the problems that are important to them.47 In interviews with consumers of a mental health service and their carers, participants believed that the differences in perceived health status and clinicians views could be used as a prompt to discuss issues.51 Daily self-reporting was associated with increased contribution in follow-up consultations by initiating conversations and linking hypertension to lifestyle variables.53 Studies investigating the use of PROMs in routine clinical practice have reported improvement in the diagnosis of conditions, patient-clinician communication, and shared-decision-making.18,54 In a review of qualitative research on clinicians’ experiences of using PROMs, clinicians thought PROMs can impact on processes of care, such as communication, shared decision-making and care planning.55 Evaluations of PROMs in routine clinical practice have reported improvements in patient-clinician communication in a variety of settings including oncology56 and patients with complex healthcare needs.52

Developing Empowerment and Engagement in Patients

Patient Knowledge and Empowerment

Measurement systems may improve patient knowledge of their condition. Through provision of information and increased involvement in clinical encounters, patients may be empowered to self-manage their condition.33,57 For example, patients with COPD felt the monitoring of conditions through a telehealth system improved their knowledge of their condition.38 Patients felt the clinical data provided was beneficial, and helped them to feel reassured, supported, and empowered. Likewise, other measurement systems are designed to provide clinical data to patients with the aim of monitoring their condition. The Living with Lymphoma Intervention, a web-based self-management intervention, provides a graphic overview of symptom trajectory and functioning score as well as an option to compare scores to other patients, which helps to reassure patients of their experiences and empowers them to take an active role in managing their condition.58 This access to information and data from measurement systems improves patient perceived control over health.59 After the implementation of a web-based tool allowing adolescents to self-report their pain, participants in one study reported that creating their own pain record improved their perceived control over and ownership of their pain.36 Similarly, in a telehealth service for patients with long-term conditions, patients reported increased confidence in dealing with symptoms and greater independence.60 Measurement systems that provide self-management advice on the basis of PROM data were seen by healthcare professionals as helping patients feel more empowered.14 This information can be acted upon immediately, without visiting a healthcare professional, thus improving patients’ perceived and potentially actual control of their condition. For example, an e-Health application developed for cancer survivors monitored quality of life through PROMs. Patients received personalised feedback automatically, including advice, supportive care options and information about seeking health services. This increased patient activation, allowing patients to take control of their health and adopt an active role in managing their symptoms.61

Patient Engagement in Self-Management

Measurement systems provide opportunities for patients to self-manage their health and encourage them to actively participate in the management of their condition.62 The process of implementing measurement systems into routine clinical practice is thought to prompt conversation between patients and clinicians, aiming for patients to more actively engage in the care of their condition.56 The data from self-monitoring health and symptoms may start a dialogue about care and treatment options, with patients feeling empowered in the decision-making process. Goal-setting is an important part of clinical management, helping patients to prioritize their health, coordinate care plans and support treatment from healthcare professionals.63 Often health goals are not discussed in the patient-clinician encounter due to a lack of time.64 PROMs bring awareness of patient’s desired outcomes and treatment goal to the clinician, which can prompt discussion of the patient’s expectations and realistic goal setting. Clinician and patient perspectives can be integrated to develop mutually acceptable treatment and health goals.65 By improving patient knowledge and involvement in goal setting and self-monitoring, patients may feel more engaged in their care and be more adherent to agreed upon self-care actions.48 Additionally, patients may take more control over managing their health. Patients with lung cancer using a measurement system, felt that the system helped them to manage their symptoms, reduced uncertainty regarding their condition, and assured patients when to contact their healthcare team.14 Similarly, in a study of telehealth monitoring for patients with COPD, most patients said they felt more involved in their care and more able to manage their own care during the telehealth pilot.60 The continued monitoring of their condition and reporting of changes due to any treatment or self-care activities, can influence patients’ adherence to and engagement with ongoing treatment.66 A randomized-controlled trial of the integration of PROMs and patient education for patients with rheumatoid arthritis found reduced disease activity and improved adherence to medication.11

Challenges of Measurement Systems

Acceptability and Applicability of PROMs

The implementation of self-monitoring for self-management in routine clinical practice must consider the appropriate measurement tools. PROMs have a variety of purposes, such as in healthcare evaluation and examining treatment effectiveness, as well as with individual patients. In designing measurement systems, it is important to consider the goals of self-monitoring and assess the patients’ needs. Best practice would be to involve all stakeholders, (patients, clinicians, management) in the choice of outcomes to be measured,51 such as symptoms, activity limitations, or quality of life.21 In particular, patients should be involved in this process to ensure that the measurement system is patient-centred and not intrusive.61 The measurement must also be clinically relevant and applicable to routine clinical practice for clinicians to engage with the systems.18,56,67 Introducing PROMs into healthcare systems requires identifying suitable measures of agreed upon outcomes for routine clinical practice.21 Appropriate PROMs are supported by research demonstrating their acceptability to patients, reliability, validity, and responsiveness.9 Additionally, PROMs created on a paper format must be adapted into an electronic medium ensuring the retention of measurement properties.37 With PROMs developed for a number of purposes and for different contexts, it is a challenge to identify the appropriate PROM.8 A range of PROMs may be required into convey patients’ experiences with their condition.51 An additional challenge is to identify the optimal timing of measurements and the frequency of asking patients to complete PROMs.41 Intensive assessments may be useful for clinicians, but this must be considered against the potential burden for patients.56 Survey length and complexity of questionnaires were identified as barriers for implementation of self-monitoring, suggesting PROMs should be brief and multidimensional.47 As well as minimising patient burden this reduces the time required for healthcare professionals to review the patient-completed data.47

Technology

Logistical difficulties and technological constraints have deterred the use of measurement systems in clinical practice.46 Health services require the appropriate hardware, internet access, and software to use the electronic system.36 The system must also be developed in a manner which is conducive to use within clinical settings. Healthcare professionals feel that unhelpful presentation of information may limit how effective measurement systems are in practice.52 Therefore, PROMs data must be presented in a format that is helpful to the clinician, which may include both tabular and graphical formats of PROMs as well as numerical text formats.56 Patients need computer facilities and access to the internet in order to engage with measurement systems. Additionally, systems must be designed to produce data in a format that is easily accessible for patients to interpret.48 In a feasibility study of online PROMs for rheumatoid arthritis patients, some patients refused to participate due to their inexperience with a computer or the internet.57 Additionally, 74% of participants (58) required assistance with the system. Although patients were willing to use the system, fewer than half continued use in the six months after registration. Similarly, patients with multiple sclerosis accessing a web-based PROMs system, found that 12.9% of subjects had difficulties with initial access to the system, with then 22.6% later having difficulty.59 Overall however, electronic systems for PROMs are thought to be broadly acceptable to patients.56 In a study to assess the feasibility and acceptability of PROMs with patients with rheumatoid arthritis, patients’ perceived a web-based PROM as easy, and reported willingness to fill in the questionnaires at home.57 For multiple sclerosis patients completing monthly PROMs via an online self-assessment tool, the patient burden was low.59 Patients with rheumatoid arthritis were also engaged with the use of an electronic system, finding the technology ease to use.42 Despite concerns that older patients will have difficulties in using technology, studies report no trends between difficulties using systems and age, with older patients able to use systems.42,59

Stakeholder Concerns

Measurements systems are intended to improve patient care, quality of health service provision, and enhance patient self-management. Therefore, clinicians and healthcare providers may choose to implement PROMs for all patients, as part of routine clinical practice.68 This strategy of implementation may raise patient concerns about the use of their data and may see this as an invasion of privacy. However, if healthcare organizations treat this routine data collection according to strict legal and governance principles for research, this may significantly reduce patient participation.68 Additionally, many measurement systems have the opportunity for individual patient data to be pooled. This aggregated data can be used for audit, to examine the effectiveness, appropriateness, quality and performance of healthcare.69 Pooling data, whilst providing additional information for clinicians to improve patient care, has additional requirements. Data must be stored appropriately with safeguards to protect patient information, and patients must provide additional consent for their data to be used for this purpose.68

Implementation of Measurement Systems in Clinical Practice

Measurement systems have the potential to improve patient care when fully incorporated into routine clinical practice. Currently, healthcare professionals view measurement systems as disruptive to clinical practice. Clinicians will be less engaged if they must spend more time or use more resources to deal with measurement systems.17,47 Healthcare professionals must view the systems as part of the clinical process. However, current literature has mostly focused on the efficacy of measurement systems and the feasibility of adopting systems into practice with little research focusing on the implementation of measurement systems into real-world settings.16

Clinician Training

Measurement systems are only sustainable if healthcare professionals are willing to integrate them into their routine clinical practice.52 Healthcare professionals vary on whether they find PROMs helpful or not.55 In a study of pain settings, while most clinicians believed PROMs can contribute to the initial assessment of a patient, they had mixed views about the use of monitoring to track patients’ progress.65 Healthcare professionals’ lack of knowledge is a significant barrier to the use of measurement systems. For successful implementation, clinicians need to be able to interpret data and to understand the potential utility of measurement systems in clinical practice.18 A review of measurement systems in cancer care identified a lack of guidelines for clinicians on how to interpret data and identify meaningful changes.37 Educating clinicians on the purposes of the systems and benefits of using them is essential for implementation in clinical practice.70 However, information provision and implementation of technology alone may not be sufficient to change clinical practice, particularly concerning complex systems. Therefore, training for healthcare professionals should include the benefits of using the system, as well as administration of the measurement system and how PROMs are scored.51,71 Training must also incorporate how to explain the system to patients, how to interpret the results, and how to use the information provided including effective approaches to discuss and respond to issues raised by patients.56

Patient Engagement

The implementation of self-monitoring into clinical practice for self-management must consider patient engagement with the measurement system. For patients to make an informed choice about engaging with measurement systems, patients need to understand the purpose of the measurement system, how to use the system, and the value of self-monitoring.57 This enables patients to see measurement systems as an acceptable and appropriate part of their care and engage with the process. Healthcare professionals may need to remind patients to use measurement systems and provide encouragement for self-monitoring of their condition.71 If healthcare professionals and support staff are engaged with the system, this is likely to facilitate patient interest and involvement.67,71 To effectively use measurements systems to improve patient-centered care, the data provided by patients must be integrated into routine clinical practice and discussed between patients and clinicians.36,41 Discussion of the data improves patients’ understanding of the value of the measurement system and its use within the management of their condition.48 Additionally, the importance of the measurement system in self-management must be continually addressed as studies show declining completion rates after initial engagement.59 Although electronic systems are thought to be feasible and acceptable to patients, there remain concerns surrounding patients’ capabilities to self-monitor their health. In a review of allied health professionals’ use of routine outcome measurement, clinicians had concerns about patients’ ability to complete PROMs, due to the complicated nature of questions, language barriers, and PROMs being confusing.67 Healthcare providers also perceive health literacy to be a potential barrier for patients completing PROMs.47 It is therefore essential in the development stages, to involve patients in the design of measurement systems to ensure their usability, acceptability, and usefulness in clinical practice.72

Conclusion

This paper has briefly reviewed the use of electronic measurement systems and illustrating their benefit and potential concerns for patients with long-term conditions. Measurement systems can provide a long-term approach to monitoring conditions, by enabling patients to measure their health and disease activity. These systems may have a role in self-management of long-term conditions as well as supporting informed clinical practice and improving the overall quality of care. Measurement systems are often delivered via an electronic platform, potentially improving equity across healthcare delivery. With patients able to monitor their condition over time, patients can adjust their self-management activities accordingly. Additionally, measurement systems have the ability to provide individualised self-management advice based on patients’ self-assessment of their condition. Measurement systems can also improve clinical encounters, empowering patients, increasing their engagement with their health, and influencing their overall management of their condition. While we have noted in this review some evidence to support these potential benefits of measurement systems, it is important to acknowledge that this area requires more and more rigorous studies alongside more theoretical development. With little published research on the use of measurement systems, further research is required to understand which healthcare services they should be incorporated into and how this may impact patients. Researchers should examine the clinical benefits of measurement systems, and any adverse events and unanticipated consequences of their use. Similarly, research is needed to devise and test ways to overcome some of the challenges to self-monitoring and facilitate successful implementation into clinical practice. In conclusion, encouraging patients to self-monitor their health throughout the disease trajectory may enhance self-management and improve healthcare professionals’ clinical practice, helping both patients and clinicians to realise patient-centred care.
  62 in total

1.  Editorial: the challenge of electronically captured patient-reported outcomes.

Authors:  Barry Fortner
Journal:  J Oncol Pract       Date:  2007-05       Impact factor: 3.840

Review 2.  Implementing patient-reported outcome measures in palliative care clinical practice: a systematic review of facilitators and barriers.

Authors:  Bárbara Antunes; Richard Harding; Irene J Higginson
Journal:  Palliat Med       Date:  2013-06-25       Impact factor: 4.762

3.  Enhancing self-care strategies in heart failure through patient-reported outcome measures.

Authors:  Louise Segan; Shane Nanayakkara; Vivian Mak; David Kaye
Journal:  Intern Med J       Date:  2018-08       Impact factor: 2.048

4.  Human agency in social cognitive theory.

Authors:  A Bandura
Journal:  Am Psychol       Date:  1989-09

5.  Why does patient activation matter? An examination of the relationships between patient activation and health-related outcomes.

Authors:  Jessica Greene; Judith H Hibbard
Journal:  J Gen Intern Med       Date:  2012-05       Impact factor: 5.128

Review 6.  Electronic assessment of disease activity and functioning in patients with axial spondyloarthritis: challenges and unmet needs.

Authors:  Uta Kiltz; Annelies Boonen; Juergen Braun; Jutta G Richter
Journal:  Clin Exp Rheumatol       Date:  2016-10-18       Impact factor: 4.473

7.  'Oncokompas', a web-based self-management application to support patient activation and optimal supportive care: a feasibility study among breast cancer survivors.

Authors:  Heleen C Melissant; Irma M Verdonck-de Leeuw; Birgit I Lissenberg-Witte; Inge R Konings; Pim Cuijpers; Cornelia F Van Uden-Kraan
Journal:  Acta Oncol       Date:  2018-02-16       Impact factor: 4.089

8.  The Individual and Family Self-Management Theory: background and perspectives on context, process, and outcomes.

Authors:  Polly Ryan; Kathleen J Sawin
Journal:  Nurs Outlook       Date:  2009 Jul-Aug       Impact factor: 3.250

9.  Too complex and time-consuming to fit in! Physicians' experiences of elderly patients and their participation in medical decision making: a grounded theory study.

Authors:  Anne Wissendorff Ekdahl; Ingrid Hellström; Lars Andersson; Maria Friedrichsen
Journal:  BMJ Open       Date:  2012-05-31       Impact factor: 2.692

10.  Use of mobile device technology to continuously collect patient-reported symptoms during radiation therapy for head and neck cancer: A prospective feasibility study.

Authors:  Aaron D Falchook; Gregg Tracton; Lori Stravers; Mary E Fleming; Anna C Snavely; Jeanne F Noe; David N Hayes; Juneko E Grilley-Olson; Jared M Weiss; Bryce B Reeve; Ethan M Basch; Bhishamjit S Chera
Journal:  Adv Radiat Oncol       Date:  2016-02-18
View more
  5 in total

1.  Patients' and clinicians' perspectives on the clinical utility of the Rheumatoid Arthritis Foot Disease Activity Index.

Authors:  Anika Hoque; Martijn Steultjens; Diane M Dickson; Gordon J Hendry
Journal:  Rheumatol Int       Date:  2022-05-27       Impact factor: 3.580

2.  Making remote measurement technology work in multiple sclerosis, epilepsy and depression: survey of healthcare professionals.

Authors:  J A Andrews; M P Craven; A R Lang; B Guo; R Morriss; C Hollis
Journal:  BMC Med Inform Decis Mak       Date:  2022-05-07       Impact factor: 3.298

3.  Digital detection of dementia (D3): a study protocol for a pragmatic cluster-randomized trial examining the application of patient-reported outcomes and passive clinical decision support systems.

Authors:  Michael J Kleiman; Abbi D Plewes; Arthur Owora; Randall W Grout; Paul Richard Dexter; Nicole R Fowler; James E Galvin; Zina Ben Miled; Malaz Boustani
Journal:  Trials       Date:  2022-10-11       Impact factor: 2.728

4.  Using a patient-reported outcome to improve detection of cognitive impairment and dementia: The patient version of the Quick Dementia Rating System (QDRS).

Authors:  James E Galvin; Magdalena I Tolea; Stephanie Chrisphonte
Journal:  PLoS One       Date:  2020-10-15       Impact factor: 3.240

5.  Measuring Spinal Mobility Using an Inertial Measurement Unit System: A Reliability Study in Axial Spondyloarthritis.

Authors:  Megan O'Grady; Tom O'Dwyer; James Connolly; Joan Condell; Karla Muñoz Esquivel; Finbar D O'Shea; Philip Gardiner; Fiona Wilson
Journal:  Diagnostics (Basel)       Date:  2021-03-10
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.