Dataset Information

Recruitment, training and supervision of nurses and nurse assistants for a task-shifting depression intervention in two RCTs in Brazil and Peru.

ABSTRACT:

Background

Task-shifting and technology in psychological interventions are two solutions to increasing access to mental health intervention and overcoming the treatment gap in low and middle-income countries. The CONEMO intervention combines a smartphone app with support from non-specialized professionals, aiming to treat depression in patients with diabetes and/or hypertension. The aim of this paper is to describe the process of recruitment, training and supervision of the non-specialized professionals who participated in the CONEMO task-shifting intervention in Brazil and Peru.

Methods

We described and analyzed data related to the recruitment, training and supervision of 62 nurse assistants from the health system in Sao Paulo, Brazil, and three hired nurses in Lima, Peru. The data were collected from information provided by nurses and nurse assistants, supervisor records from supervision meetings and the CONEMO platform database.

Results

We found that task-shifting was feasible using existing resources in Sao Paulo and additional human resources in Lima. Training and supervision were found to be crucial and well received by the staff; however, time was a limitation when using existing human resources. Ensuring technological competence prior to the start of the intervention was essential. Group supervision meetings allowed non-specialized professionals to learn from each other's experiences.

Conclusion

Carefully considering recruitment, training and supervision of non-specialized professionals is important for effective task-shifting when delivering an mHealth intervention for depression. Opportunities and challenges of working in different health systems are described, which should be considered in future implementation, either for research or real settings. Trial registration NCT028406662 (Sao Paulo), NCT03026426 (Peru).

SUBMITTER: Rocha TIU

PROVIDER: S-EPMC7863440 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Recruitment, training and supervision of nurses and nurse assistants for a task-shifting depression intervention in two RCTs in Brazil and Peru.

Rocha Thais Izabel Ugeda TIU Aschar Suzana Crismanis de Almeida Lopes SCAL Hidalgo-Padilla Liliana L Daley Kate K Claro Heloísa Garcia HG Martins Castro Hellen Carolina HC Dos Santos Daniela Vera Cruz DVC Miranda J Jaime JJ Araya Ricardo R Menezes Paulo Rossi PR

Human resources for health 20210205 1

<h4>Background</h4>Task-shifting and technology in psychological interventions are two solutions to increasing access to mental health intervention and overcoming the treatment gap in low and middle-income countries. The CONEMO intervention combines a smartphone app with support from non-specialized professionals, aiming to treat depression in patients with diabetes and/or hypertension. The aim of this paper is to describe the process of recruitment, training and supervision of the non-specializ ...[more]

PMID: 33546709

Similar Datasets

Project description:AimTo describe variation in task shifting from GPs to practice assistants/nurses in 34 countries and to explain differences by analysing associations with characteristics of the GPs and their practices and features of the health care systems.BackgroundRedistribution of tasks and responsibilities in primary care are driven by changes in demand, such as the growing number of patients with chronic conditions, and workforce developments, including staff shortage. The need to manage an expanding range of services has led to adaptations in the skill-mix of primary care teams. These developments are hampered by barriers between professional domains.MethodsData were collected between 2011 and 2013 through a cross-sectional survey among approximately 7,200 general practitioners (GPs) in 34 countries. Task shifting is measured through a composite score of GPs' self-reported shifting of tasks. Independent variables at GP and practice level are as follows: innovativeness; part-time working; availability of staff; location and population of the practice. Country-level independent variables are as follows: demand for and supply of care, nurse prescribing, and professionalisation of practice assistants/nurses. Multilevel analysis is used to account for clustering of GPs in countries.FindingsCountries vary in the degree of task shifting. Regarding GP and practice characteristics, use of electronic health records and availability of support staff in the practice are positively associated with task shifting and GPs' working hours negatively, in line with our hypotheses. Age of the GPs is, contrary to our hypothesis, positively related to task shifting. These variables explain 11% of the variance at GP level. Two country variables are related to task shifting: a lower percentage of practices without support staff in a country and nurse prescribing rights coincide with more task shifting. The percentage of practices without support staff has the strongest relationship, explaining 73% of the country variation.

Project description:AimTo describe variation in task shifting from general practitioners (GPs) to practice assistants/nurses in 34 countries, and to explain differences by analysing associations with characteristics of the GPs, their practices and features of the health care systems.BackgroundRedistribution of tasks and responsibilities in primary care are driven by changes in demand for care, such as the growing number of patients with chronic conditions, and workforce developments, including staff shortage. The need to manage an expanding range of services has led to adaptations in the skill mix of primary care teams. However, these developments are hampered by barriers between professional domains, which can be rigid as a result of strict regulation, traditional attitudes and lack of trust.MethodsData were collected between 2011 and 2013 through a cross-sectional survey among approximately 7200 GPs in 34 countries. The dependent variable 'task shifting' is measured through a composite score of GPs' self-reported shifting of tasks. Independent variables at GP and practice level are: innovativeness; part-time working; availability of staff; location and population of the practice. Country-level independent variables are: institutional development of primary care; demand for and supply of care; nurse prescribing as an indicator for professional boundaries; professionalisation of practice assistants/nurses (indicated by professional training, professional associations and journals). Multilevel analysis is used to account for the clustering of GPs in countries.FindingsCountries vary in the degree of task shifting by GPs. Regarding GP and practice characteristics, use of electronic health record applications (as an indicator for innovativeness) and age of the GPs are significantly related to task shifting. These variables explain only little variance at the level of GPs. Two country variables are positively related to task shifting: nurse prescribing and professionalisation of primary care nursing. Professionalisation has the strongest relationship, explaining 21% of the country variation.

Project description:ObjectiveTo report the results of a nurse-led pre-exposure prophylaxis (PrEP) delivery service.DesignThis was a prospective cohort study conducted from 5 August 2018 to 4 March 2020. It involved manual chart review to collect data. Variables were described using frequencies and percentages and analysed using χ2 testing. Those significant in bivariate analysis were retained and entered into a binary multiple logistic regression. Hierarchical modelling was used, and only significant factors were retained.SettingThis study occurred in an urban public health unit and community-based sexually transmitted infection (STI) clinic in Ottawa, Canada.ParticipantsOf all persons who were diagnosed with a bacterial STI in Ottawa and everyone who presented to our STI clinic during the study period, there were 347 patients who met our high-risk criteria for PrEP; these criteria included patients who newly presented with any of the following: HIV contacts, diagnosed with a bacterial STI or single use of HIV PEP. Further, eligibility could be determined based on clinical judgement. Patients who met the foregoing criteria were appropriate for PrEP-RN, while lower-risk patients were referred to elsewhere. Of the 347 patients who met our high-risk criteria, 47% accepted and 53% declined. Of those who accepted, 80% selected PrEP-registered nurse (RN).Primary and secondary outcome measuresUptake, acceptance, engagement and attrition factors of participants who obtained PrEP through PrEP-RN.Findings69% of participants who were eligible attended their intake PrEP-RN visit. 66% were retained in care. Half of participants continued PrEP and half were lost to follow-up. We found no significant differences in the uptake, acceptance, engagement and attrition factors of participants who accessed PrEP-RN regarding reason for referral, age, ethnicity, sexual orientation, annual income, education attainted, insurance status, if they have a primary care provider, presence or absence of depression or anxiety and evidence of newly acquired STI during the study period.ConclusionsNurse-led PrEP is an appropriate strategy for PrEP delivery.

Project description:BackgroundThe study aimed to investigate the relationship between different work schedules and self-reported working conditions and health risk behaviours among nurses and nurse assistants (NNA) in France. It hypothesized that work schedules, particularly long shifts, could impact work-life balance, workload, stress levels, burnout, and smoking habits. NNA had the option to work either with a 7-hour schedule, 5 days per week, or with long work schedules consisting of ten to twelve-hour shifts, three days per week. These schedules could potentially influence various aspects of their professional lives.MethodsThe survey followed the guidelines of the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement and was administered to NNA working in public and private national healthcare facilities in France. The researchers used the Job Content Questionnaire to assess the work environment and the French version of the 22-item Maslach Burnout Inventory (MBI) scale to measure burnout.ResultsA total of 3,133 NNA participated in the study, including 2,369 nurses (75.6%) and 764 nurse assistants (24.4%). Among them, 1,811 individuals (57.8%) followed a 7-hour work schedule, while 1,322 individuals (42.2%) had a long work schedule. Multivariate analyses revealed that NNA working with long schedules reported higher psychological demands, more frequent burnout, a higher number of daily smoked cigarettes, and greater coffee consumption. These findings were independent of other factors such as sector of employment, type of healthcare facility, job status, work schedules, night shifts, department specialty, age, and family responsibilities.ConclusionsWhile some NNA may choose long schedules to have more days off, those working with these schedules experience greater work-related burdens and engage in worse health risk behaviours as a coping mechanism. It emphasizes the importance of considering health-promoting work schedules to address the high psychological demands and burnout experienced by NNA with long schedules. Implementing changes in work schedules could potentially improve the overall well-being and job satisfaction of these healthcare professionals.

Project description:ObjectivesThis study aimed to gain insight into how substitution of elderly care physicians (ECPs) by nurse practitioners (NPs), physician assistants (PAs) or registered nurses (RNs) in nursing homes is modelled in different contexts and what model in what context contributes to perceived quality of healthcare. Second, this study aimed to provide insight into elements that contribute to an optimal model of substitution of ECPs by NPs, PAs or RNs.DesignA multiple-case study was conducted that draws on realist evaluation principles.SettingSeven nursing homes in the Netherlands PARTICIPANTS: The primary participants were NPs (n=3), PAs (n=2) and RNs (n=2), working in seven different nursing homes and secondary participants were included; ECPs (n=15), medical doctors (MDs) (n=2), managing directors/managers/supervisors (n=11), nursing team members (n=33) and residents/relatives (n=78).Data collectionData collection consisted of: (1) observations of the NP/PA/RN and an ECP/MD, (2) interviews with all participants, (3) questionnaires filled out by the NP/PA/RN, ECPs/MDs and managing directors/managers and (4) collecting internal policy documents.ResultsAn optimal model of substitution of ECPs seems to be one in which the professional substitutes for the ECP largely autonomously, well-balanced collaboration occurs between the ECP and the substitute, and quality of healthcare is maintained. This model was seen in two NP cases and one PA case. Elements that enabled NPs and PAs to work according to this optimal model were among others: collaborating with the ECP based on trust; being proactive, decisive and communicative and being empowered by organisational leaders to work as an independent professional.ConclusionsCollaboration based on trust between the ECP and the NP or PA is a key element of successful substitution of ECPs. NPs, PAs and RNs in nursing homes may all be valuable in their own unique way, matching their profession, education and competences.

Project description:IntroductionIn developed countries, substituting physicians with nurse practitioners, physician assistants and nurses (physician substitution) occurs in nursing homes as an answer to the challenges related to the ageing population and the shortage of staff, as well as to guarantee the quality of nursing home care. However, there is great diversity in how physician substitution in nursing homes is modelled and it is unknown how it can best contribute to the quality of healthcare. This study aims to gain insight into how physician substitution is modelled and whether it contributes to perceived quality of healthcare. Second, this study aims to provide insight into the elements of physician substitution that contribute to quality of healthcare.Methods and analysisThis study will use a multiple-case study design that draws upon realist evaluation principles. The realist evaluation is based on four concepts for explaining and understanding interventions: context, mechanism, outcome and context-mechanism-outcome configuration. The following steps will be taken: (1) developing a theory, (2) conducting seven case studies, (3) analysing outcome patterns after each case and a cross-case analysis at the end and (4) revising the initial theory.Ethics and disseminationThe research ethics committee of the region Arnhem Nijmegen in the Netherlands concluded that this study does not fall within the scope of the Dutch Medical Research Involving Human Subjects Act (WMO) (registration number 2015/1914). Before the start of the study, the Board of Directors of the nursing home organisations will be informed verbally and by letter and will also be asked for informed consent. In addition, all participants will be informed verbally and by letter and will be asked for informed consent. Findings will be disseminated by publication in a peer-reviewed journal, international and national conferences, national professional associations and policy partners in national government.

Project description:BACKGROUND:More and more older adults desire to and are enabled to grow old in their own home, regardless of their physical and mental capabilities. This change, together with the growing number of older adults, increases the demand for general practitioners (GPs). However, care for older people lacks prestige among medical students and few medical students are interested in a career in care for older people. Innovative solutions are needed to reduce the demand for GPs, to guarantee quality of healthcare and to contain costs. A solution might be found in skill mix change by introducing nurse practitioners (NPs), physician assistants (PAs) or registered nurses (RNs). The aim of this study was to describe how skill mix change is organised in daily practice, what influences it and what the effects are of introducing NPs, PAs or RNs into primary healthcare for older people. METHODS:In total, 34 care providers working in primary healthcare in the Netherlands were interviewed: GPs (n = 9), NPs (n = 10), PAs (n = 5) and RNs (n = 10). Five focus groups and 14 individual interviews were conducted. Analysis consisted of open coding, creating categories and abstraction. RESULTS:In most cases, healthcare for older people was only a small part of the tasks of NPs, PAs and RNs; they did not solely focus on older people. The tasks they performed and their responsibilities in healthcare for older people differed between, as well as within, professions. Although the interviewees debated the usefulness of proactive structural screening on frailty in the older population, when implemented, it was also unclear who should perform the geriatric assessment. Interviewees considered NPs, PAs and RNs an added value, and it was stated that the role of the GP changed with the introduction of NPs, PAs or RNs. CONCLUSIONS:The roles and responsibilities of NPs, PAs and RNs for the care of older people living at home are still not established. Nonetheless, these examples show the potential of these professionals. The establishment of a clear vision on primary healthcare for older people, including the organisation of proactive healthcare, is necessary to optimise the impact of skill mix change.

Project description:BackgroundPhysician-nurse task shifting in primary care appeals greatly to health policymakers. It promises to address workforce shortages and demands of high-quality, affordable care in the healthcare systems of many countries. This systematic review was conducted to assess the evidence about physician-nurse task shifting in primary care in relation to the course of disease and nurses' roles.MethodsWe searched MEDLINE, Embase, The Cochrane Library and CINAHL, up to August 2012, and the reference list of included studies and relevant reviews. All searches were updated in February 2014. We selected and critically appraised published randomized controlled trials (RCTs).ResultsTwelve RCTs comprising 22,617 randomized patients conducted mainly in Europe met the inclusion criteria. Nurse-led care was delivered mainly by nurse practitioners following structured protocols and validated instruments in most studies. Twenty-five unique disease-specific measures of the course of disease were reported in the 12 RCTs. While most (84 %) study estimates showed no significant differences between nurse-led care and physician-led care, nurses achieved better outcomes in the secondary prevention of heart disease and a greater positive effect in managing dyspepsia and at lowering cardiovascular risk in diabetic patients. The studies were generally small, of varying follow-up episodes and were at risk of biases. Descriptive details about roles, qualifications or interventions were also incomplete or not reported.ConclusionTrained nurses may have the ability to achieve outcome results that are at least similar to physicians' for managing the course of disease, when following structured protocols and validated instruments. The evidence, however, is limited by a small number of studies reporting a broad range of disease-specific outcomes; low reporting standards of interventions, roles and clinicians' characteristics, skills and qualifications; and the quality of studies. More rigorous studies using validated tools could clarify these findings.

Dataset Information

Recruitment, training and supervision of nurses and nurse assistants for a task-shifting depression intervention in two RCTs in Brazil and Peru.

Background

Methods

Results

Conclusion

Publications

Recruitment, training and supervision of nurses and nurse assistants for a task-shifting depression intervention in two RCTs in Brazil and Peru.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets