Background: Determining what constitutes an excellent allied health care professional (AHCP) is important, since this is what will guide the development of curricula for training future physical therapists, oral hygienists, speech therapists, diagnostic radiographers, and dietitians. This also determines the quality of care.Aim: To describe perspectives of AHCPs on which characteristics are commonly associated with an excellent AHCP.Methods: AHCPs’ perspectives were derived from three focus group discussions. Twenty-one health care professionals participated. The final analysis of the focus group discussions produced eight domains, in which content validity was obtained through a Delphi panel survey of 27 contributing experts.Results: According to the survey, a combination of the following characteristics defines an excellent AHCP: (1) cognizance, to obtain and to apply knowledge in a broad multidisciplinary health care field; (2) cooperativity, to effectively work with others in a multidisciplinary con¬text; (3) communicative, to communicate effectively at different levels in complex situations; (4) initiative, to initiate new ideas, to act proactively, and to follow them through; (5) innovative, to devise new ideas and to implement alternatives beyond current practices; (6) introspective, to self-examine and to reflect; (7) broad perspective, to capture the big picture; and (8) evidence-driven, to find and to use scientific evidence to guide one’s decisions.Conclusion: The AHCPs perspectives can be used as a reference for personal improvement for supervisors and professionals in clinical practice and for educational purposes. These perspectives may serve as a guide against which talented students can evaluate themselves.
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Background: The substitution of healthcare is a way to control rising healthcare costs. The Primary Care Plus (PC+) intervention of the Dutch ‘Blue Care’ pioneer site aims to achieve this feat by facilitating consultations with medical specialists in the primary care setting. One of the specialties involved is dermatology. This study explores referral decisions following dermatology care in PC+ and the influence of predictive patient and consultation characteristics on this decision. Methods: This retrospective study used clinical data of patients who received dermatology care in PC+ between January 2015 and March 2017. The referral decision following PC+, (i.e., referral back to the general practitioner (GP) or referral to outpatient hospital care) was the primary outcome. Stepwise logistic regression modelling was used to describe variations in the referral decisions following PC+, with patient age and gender, number of PC+ consultations, patient diagnosis and treatment specialist as the predicting factors. Results: A total of 2952 patients visited PC+ for dermatology care. Of those patients with a registered referral, 80.2% (N = 2254) were referred back to the GP, and 19.8% (N = 558) were referred to outpatient hospital care. In the multivariable model, only the treating specialist and patient’s diagnosis independently influenced the referral decisions following PC+. Conclusion: The aim of PC+ is to reduce the number of referrals to outpatient hospital care. According to the results, the treating specialist and patient diagnosis influence referral decisions. Therefore, the results of this study can be used to discuss and improve specialist and patient profiles for PC+ to further optimise the effectiveness of the initiative.
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Introduction: The implementation of oncology care pathways that standardize organizational procedures has improved cancer care in recent years. However, the involvement of “authentic” patients and caregivers in quality improvement of these predetermined pathways is in its infancy, especially the scholarly reflection on this process. We, therefore, aim to explore the multidisciplinary challenges both in practice, when cancer patients, their caregivers, and a multidisciplinary team of professionals work together on quality improvement, as well as in our research team, in which a social scientist, health care professionals, health care researchers, and experience experts design a research project together. Methods and design: Experience-based co-design will be used to involve cancer patients and their caregivers in a qualitative research design. In-depth open discovery interviews with 12 colorectal cancer patients, 12 breast cancer patients, and seven patients with cancer-associated thrombosis and their caregivers, and focus group discussions with professionals from various disciplines will be conducted. During the subsequent prioritization events and various co-design quality improvement meetings, observational field notes will be made on the multidisciplinary challenges these participants face in the process of co-design, and evaluation interviews will be done afterwards. Similar data will be collected during the monthly meetings of our multidisciplinary research team. The data will be analyzed according to the constant comparative method. Discussion: This study may facilitate quality improvement programs in oncologic care pathways, by increasing our real-world knowledge about the challenges of involving “experience experts” together with a team of multidisciplinary professionals in the implementation process of quality improvement. Such co-creation might be challenging due to the traditional paternalistic relationship, actual disease-/treatment-related constraints, and a lack of shared language and culture between patients, caregivers, and professionals and between professionals from various disciplines. These challenges have to be met in order to establish equality, respect, team spirit, and eventual meaningful participation.
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ObjectiveFirst, to make an inventory of activity limitations commonly reported by knee osteoarthritis (OA) patients undergoing multidisciplinary rehabilitation. Second, to evaluate treatment outcome using the Patient Specific Functional Scale (PSFS) and compare it to the Western Ontario and McMasters Universities Osteoarthritis Index physical function subscale (WOMAC-pf).DesignAn observational study with assessments before and immediately after multidisciplinary rehabilitation. Five hundred and thirteen patients used the PSFS, a patient-reported tool to identify activity limitations and score the patient's ability to perform the activity on an 11-point Numeric Rating Scale (NRS), to report three activities in which they were limited. Frequencies and percentages of their highest-prioritized activity were calculated and categorized according to the International Classification of Functioning, Disability, and Health (ICF). Paired-samples T-tests were used to analyze the change in ability to perform the activities. Effect sizes of PSFS and WOMAC-pf were compared.ResultsMost patients indicated limitations in walking, walking up/down stairs, prolonged standing, and standing up from a chair. Following these common activities, 26 different activities were identified. The majority of these highest-prioritized activities fell under the first-level ICF category of Mobility. The ability to perform all activities significantly improved after treatment. Effect sizes ranged between 0.60 and 0.97 and were greater than the effect size of the WOMAC-pf (0.41).ConclusionKnee OA patients who undergo multidisciplinary rehabilitation exhibit improvements in performing daily activities. The PSFS is a valuable tool to evaluate patient-specific activity limitations and seems to capture improvements in activity limitations beyond the WOMAC-pf.
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BACKGROUND: Although the importance of evaluating implementation fidelity is acknowledged, little is known about heterogeneity in fidelity over time. This study aims to generate insight into the heterogeneity in implementation fidelity trajectories of a health promotion program in multidisciplinary settings and the relationship with changes in patients' health behavior.METHODS: This study used longitudinal data from the nationwide implementation of an evidence-informed physical activity promotion program in Dutch rehabilitation care. Fidelity scores were calculated based on annual surveys filled in by involved professionals (n = ± 70). Higher fidelity scores indicate a more complete implementation of the program's core components. A hierarchical cluster analysis was conducted on the implementation fidelity scores of 17 organizations at three different time points. Quantitative and qualitative data were used to explore organizational and professional differences between identified trajectories. Regression analyses were conducted to determine differences in patient outcomes.RESULTS: Three trajectories were identified as the following: 'stable high fidelity' (n = 9), 'moderate and improving fidelity' (n = 6), and 'unstable fidelity' (n = 2). The stable high fidelity organizations were generally smaller, started earlier, and implemented the program in a more structured way compared to moderate and improving fidelity organizations. At the implementation period's start and end, support from physicians and physiotherapists, professionals' appreciation, and program compatibility were rated more positively by professionals working in stable high fidelity organizations as compared to the moderate and improving fidelity organizations (p < .05). Qualitative data showed that the stable high fidelity organizations had often an explicit vision and strategy about the implementation of the program. Intriguingly, the trajectories were not associated with patients' self-reported physical activity outcomes (adjusted model β = - 651.6, t(613) = - 1032, p = .303).CONCLUSIONS: Differences in organizational-level implementation fidelity trajectories did not result in outcome differences at patient-level. This suggests that an effective implementation fidelity trajectory is contingent on the local organization's conditions. More specifically, achieving stable high implementation fidelity required the management of tensions: realizing a localized change vision, while safeguarding the program's standardized core components and engaging the scarce physicians throughout the process. When scaling up evidence-informed health promotion programs, we propose to tailor the management of implementation tensions to local organizations' starting position, size, and circumstances.TRIAL REGISTRATION: The Netherlands National Trial Register NTR3961 . Registered 18 April 2013.
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Physiotherapy, Dietetics and Occupational Therapy have been collaborating over recent years to develop an optimal healthcare programme for patients with Post Intensive Care Syndrome (PICS). This case is an example of PICS symptomatology and focuses on the collaboration between Physiotherapy and Dietetics. What is PICS? Owing to healthcare improvements, more and more patients are surviving the intensive Care Unit (ICU), and recovery during and after ICU stay has been receiving more attention [1, 2]. Approximately 30% of the patients admitted to an ICU have persistent symptoms including muscle weakness, reduced walking ability, fatigue, concentration deficits, memory problems, malnutrition, sleep and mood disorders sometimes even years after discharge [3-8]. Since 2012, this combination of physical, cognitive and psychiatric manifestations and reduced quality of life after staying in an ICU has been recognised as Post Intensive Care Syndrome (PICS) [9]. The impact of PICS is often not limited to the patient as it may also impact the mental status of the patient’s immediate family. This is known as PICS-Family (PICS-F) [10-12]. Treatment of PICS: Approximately 80% of PICS patients need primary care physiotherapy. Physiotherapists and GPs are often the only primary care professionals involved in the recovery process of these patients after hospital discharge [13, 14]. Both patients and healthcare professionals report a number of difficulties, e.g. limited transmural continuity in healthcare, coordination of multidisciplinary activities, supportive treatment guidelines and specific knowledge of pathology, treatment and prognosis. Patients report that they are not adequately supported when resuming their professional activities and that medical and allied healthcare treatments do not fully meet their needs at that time [15-18]. The REACH project: In order to improve the situation, the REACH project (REhabilitation After Critical illness and Hospital discharge) was started in Amsterdam region in the Netherlands. Within REACH, a Community of Practice – consisting of professionals (physiotherapists, occupational therapists, dieticians), those who live or have lived with the condition and researchers – has developed a transmural rehab programme. A special attribute of this programme is the integration of the concept of “positive health”. The case in this article describes the treatment of a PICS patient treated within the REACH network.
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The growing importance of technology in health care calls for interdisciplinary study programmes in which students with various backgrounds work together in exploring and designing new solutions for real-life problems. The Centre of Healthcare and Technology of Fontys University of Applied Sciences (Fontys EGT), the Netherlands, is presented as an example of how new initiatives in the field of education at the crossroads of health care and technology can be shaped and implemented in practice. A case study illustrating one of the student projects is provided as an example of the approach to educational innovation and interdisciplinary collaboration.
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At the beginning of the twenty first century obesity entered Dutch maternity care as a ‘new illness’ challenging maternity care professionals in providing optimal care for women with higher BMI’s. International research revealed that obese women had more perinatal problems than normal weight women. However, the effect of higher BMIs on perinatal outcomes had never been studied in women eligible for midwife-led primary care at the outset of their pregnancy. In the context of the Dutch maternity care system, it was not clear if obesity should be treated as a high-risk situation always requiring obstetrician-led care or as a condition that may lead to problems that could be detected in a timely manner in midwife-led care using the usual risk assessment tools. With the increased attention on obesity in maternity care there was also increased interest in GWG. Regarding GWG in the Netherlands, the effect of insufficient or excessive GWG on perinatal outcomes had never been studied and there were no validated guidelines for GWG. A midwife’s care for the individual woman in the context of the Dutch maternity care system - characterised by ‘midwife-led care if possible, obstetrician-led care if needed’ - is hampered by the lack of national multidisciplinary consensus regarding obesity and weight gain. Obesity has not yet been included in the OIL and local protocols contain varying recommendations. To enable sound clinical decisions and to offer optimal individual care for pregnant women in the Netherlands more insights in weight and weight gain in relation to perinatal outcomes are required. With this thesis the author intends to contribute to the body of knowledge on weight and weight gain to enhance optimal midwife-led primary care for the individual woman and to guide midwives’ clinical decision-making.
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BackgroundSpecialist palliative care teams are consulted during hospital admission for advice on complex palliative care. These consultations need to be timely to prevent symptom burden and maintain quality of life. Insight into specialist palliative care teams may help improve the outcomes of palliative care.MethodsIn this retrospective observational study, we analyzed qualitative and quantitative data of palliative care consultations in a six-month period (2017 or 2018) in four general hospitals in the northwestern part of the Netherlands. Data were obtained from electronic medical records.ResultsWe extracted data from 336 consultations. The most common diagnoses were cancer (54.8%) and organ failure (26.8%). The estimated life expectancy was less than three months for 52.3% of all patients. Within two weeks after consultation, 53.2% of the patients died, and the median time until death was 11 days (range 191) after consultation. Most patients died in hospital (49.4%) but only 7.5% preferred to die in hospital. Consultations were mostly requested for advance care planning (31.6%). End-of-life preferences focused on last wishes and maintaining quality of life.ConclusionThis study provides detailed insight into consultations of palliative care teams and shows that even though most palliative care consultations were requested for advance care planning, consultations focus on end-of-life care and are more crisis-oriented than prevention-oriented. Death often occurs too quickly after consultation for end-of-life preferences to be met and these preferences tend to focus on dying. Educating healthcare professionals on when to initiate advance care planning would promote a more prevention-oriented approach. Defining factors that indicate the need for timely palliative care team consultation and advance care planning could help timely identification and consultation.
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Introduction Many health care interventions have been developed that aim to improve or maintain the quality of life for frail elderly. A clear overview of these health care interventions for frail elderly and their effects on quality of life is missing. Purpose To provide a systematic overview of the effect of health care interventions on quality of life of frail elderly. Methods A systematic search was conducted in Embase, Medline (OvidSP), Cochrane Central, Cinahl, PsycInfo and Web of Science, up to and including November 2017. Studies describing health care interventions for frail elderly were included if the effect of the intervention on quality of life was described. The effects of the interventions on quality of life were described in an overview of the included studies. Results In total 4,853 potentially relevant articles were screened for relevance, of which 19 intervention studies met the inclusion criteria. The studies were very heterogeneous in the design: measurement of frailty, health care intervention and outcome measurement differ. Health care interventions described were: multidisciplinary treatment, exercise programs, testosterone gel, nurse home visits and acupuncture. Seven of the nineteen intervention studies, describing different health care interventions, reported a statistically significant effect on subdomains of quality of life, two studies reported a statistically significant effect of the intervention on the overall quality of life score. Ten studies reported no statistically significant difference between the intervention and control groups. Conclusion Reported effects of health care interventions on frail elderly persons’ quality of life are inconsistent, with most of the studies reporting no differences between the intervention and control groups. As the number of frail elderly persons in the population will continue to grow, it will be important to continue the search for effective health care interventions. Alignment of studies in design and outcome measurements is needed.
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