DepressionNCT03500250
Feasibility of the Post-Stroke Depression-toolkit
An observational study of Depression and Stroke, run by University of Applied Sciences Utrecht.
Trial summary
Rationale: Depression is a frequent complication after a stroke. In stroke guidelines several recommendations focus on early screening, and treatment off depression after stroke. Introducing clinical practice guidelines into routine daily practice however, is a difficult process. Read more about this study
- Who is it for?
- Ages 18 to 65 yearsHealthy volunteers can take part
- Conditions the study is for
- Depression, Stroke
- What is being tested?
- Post-Stroke Depression toolkit
- How many people
- 120 participants
- Where
- No sites listed yet
- Study dates
- 1 Apr 2012to 30 Jun 2013
- How long will I take part?
- 12 Months
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 65 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: All nurses working on the neurological wards and stroke units of the participating hospitals, one university hospital and two general hospitals.
Who may be able to join
- Registered Nurses with or without Bachelor degree in Nursing (BN); Nursing students.
Who cannot join
- none
About this study
Official title: Feasibility of a Nurse-led Intervention for the Early Management of Depression After Stroke in Hospital
Rationale: Depression is a frequent complication after a stroke. In stroke guidelines several recommendations focus on early screening, and treatment off depression after stroke. Introducing clinical practice guidelines into routine daily practice however, is a difficult process. In order to make the recommendations applicable to clinical practice a toolkit was developed (the Post Stroke Depression-toolkit), which provides assessment tools for the early detection of depression after stroke, and a set of interventions in case of a positive screening for (risk on) depressive symptoms.
Objective: to investigate the feasibility of the Post Stroke Depression-toolkit in daily practice.
Study design: An explanatory mixed-methods, before-and-after study design. Study population: Nurses working on the neurological wards of one university hospital and two general hospitals in the Netherlands were included in the study. Additionally, data were obtained from patient charts.
Read the detailed description
Worldwide, approximately 50 million people who survived a stroke cope with physical, cognitive, and emotional impairments, and many of these survivors depend on caregivers to manage activities of daily living (Miller, et al., 2010). Stroke is the third leading cause of disability (Johnson, et al., 2016). Depression is a frequent and serious complication after stroke impeding rehabilitation outcome, and is associated with a higher mortality risk, and a lower quality of life (Kutlubaev \& Hackett, 2014; Robinson \& Jorge, 2015).
There is growing evidence for successful treatment of depression after stroke (Robinson \& Jorge, 2015). Recommendations of stroke guidelines on the early management of depressive symptoms have not been structurally implemented in current practice, and only a minority of the acute care stroke teams assess mood on a systematic way in daily care (Hart \& Bowen, 2008; Bowen, et al., 2005). Hence, depression is still one of the most underdiagnosed and undertreated complications after stroke (Miller et al., 2010), resulting in worse patient outcomes and delayed recovery (Robinson \& Jorge, 2015). In a feasibility study of the Nursing Rehabilitation Guideline for Stroke (Hafsteinsdóttir \& Schuurmans, 2009) it was suggested that simplifying the guideline and integrating the recommendations into a stroke care pathway could gain a more positive attitude towards the guideline and improve its feasibility (Hafsteinsdóttir et al., 2013). Therefore, the Post-Stroke Depression toolkit (PSD toolkit), an intervention for the early management of depression after stroke, has been developed.
The feasibility of this intervention was tested following phase two of the British Medical Research Council (MRC) guidelines (Craig et al., 2013). In this study, feasibility (Polit \& Beck, 2008) is measured in terms of (1) fidelity, defined as the extent to which the components of the PSD toolkit are delivered as intended, and (2) acceptability, defined as whether the PSD toolkit is judged suitable and satisfactory by the nurses (Gearing et al., 2011). After evaluating implementation, the sustainability of the PSD toolkit requires evaluation as well (Scheirer, 2005). Sustainability is defined as fidelity to the PSD toolkit six months after completing implementation.
The aims of the study were (1) to explore the feasibility of the PSD toolkit in terms of fidelity and acceptability in three phases-a pre-implementation phase, an implementation phase, and a sustainability phase six month after-and (2) to identify elements for further refinement and improvement in the toolkit to enhance its feasibility in daily stroke care during the hospital stay.
Design: An explanatory mixed-methods, before-and-after study design(Creswell, 2008).
Data were collected by patient chart audits and surveys among nurses. Individual and focus group interviews with nurses followed the quantitative data collection to explain the findings (Creswell, 2008).
Data were collected pre-implementation in March and April 2012, during implementation from April 2012 until December 2012 and during the sustainability phase from December 2012 until June 2013.
A team with expertise in stroke care, consisting of two researchers and five nurses from the participating nursing teams, guided the implementation.
Participants and setting Nurses working on the neurological wards of one university hospital and two general hospitals in the Netherlands were included in the study. Additionally, data were obtained from patient charts.
Implementation strategies Evidence-based implementation strategies were used to facilitate the implementation of the PSD toolkit: (1) education and training of the nurses in applying the PSD toolkit, (2) opinion leaders, and (3) audit and feedback by the researcher (Van Achterberg et al., 2008).
Data collection Baseline data To gain insight into the patients in whom the toolkit was used, data on gender, age, marital status, living arrangements, type of stroke, length of hospital stay, and discharge destination were collected. The demographics collected on the nurses included gender, age, education, years working on the ward, and full-time equivalent.
Patient chart audit Fidelity was measured in terms of the extent to which the components of the PSD toolkit were applied as intended; patient chart audits were performed to establish the number of patients who were screened for depressive symptoms and who received nursing interventions in the case of a positive screening.
The Barriers and Facilitators Assessment Instrument To obtain a thorough understanding of the experiences and opinions of the nurses that influence fidelity, perceived barriers were evaluated using the Barriers and Facilitators Assessment Instrument (BFAI) (Peters et al., 2002)consisting of 18 statements, both positively and negatively formulated. One of the authors of the original questionnaire reviewed and approved the adaptations, confirming the content validity. The nurses indicated, on a five-point Likert scale, if they (dis)agreed with a statement. The scale ranged from 5 (strongly agree) to 1 (strongly disagree). To identify barriers, the percentage who agreed and strongly agreed with the positively formulated statements were recoded into disagree and strongly disagree; an item score of >3 (agree/strongly agree) indicating a barrier.
The Clinical Utility Questionnaire Acceptability was measured in terms of the clinical utility (Harris \& Warren, 1995) of the PSD toolkit as perceived by the nurses. Clinical utility was assessed using an adapted version of the Clinical Utility Questionnaire including 19 items addressing nurses' views on the toolkit, focussing on item clarity, acceptability of time investment, utility of the instruments, and relevance and utility of the nursing interventions. The content validity of the adapted questionnaire was assessed by one of the authors of the original questionnaire (de Man-van Ginkel et al., 2012).
Interviews with nurses To explain the results of the audits, BFAI and the Clinical Utility Questionnaire, semi-structured with the nurses on the participating wards were performed at the end of the implementation phase and three focus group interviews were conducted at the end of the sustainability phase. The interview guides consisted of the following topics derived from results of the audits and questionnaires: (1) presentation of the quantitative results, (2) possible explanations for the changes (decrease/increase) in fidelity, (3) nurses' views on barriers or facilitators to use of the PSD toolkit and its clinical utility, and (4) suggestions to further improve the toolkit.
Procedure Pre-implementation phase Data was collected on daily nursing care regarding the management of depressive symptoms after stroke. The researchers examined the charts of all patients admitted to the participating wards using a data extraction form.
Furthermore, all nurses and nursing students received education and training sessions totalling three hours, which covered (1) depression after stroke (causes, consequences, and the importance of early detection of depressive symptoms), evidence-based nursing interventions, and (2) the content and procedures of the PSD toolkit.
Implementation phase The researcher visited the participating wards four times per week for patient chart audits to collect baseline data and data on fidelity of the PSD toolkit by registering the frequency of delivery of the components of the PSD toolkit by the nurses. The researchers sent the results of the patient chart audit (e.g., the proportion of patients who were screened for depressive symptoms and who received nursing interventions) to the opinion leaders. Subsequently, the opinion leaders used this overview to provide feedback and to remind the nurses to screen a patient for depressive symptoms and apply appropriate nursing interventions.
At the end of the implementation phase, the researchers sent the BFAI and Clinical Utility Questionnaire to the nurses. After two weeks, a reminder was sent to all non-respondents. Subsequently, the researchers conducted individual interviews with a random sample of five nurses from each of the participating nursing teams to explain fidelity to and acceptability of the toolkit by discussing the outcomes of the audit, the BFAI and the Clinical Utility Questionnaire.
Sustainability phase During the sustainability phase, the same procedure was used as in the implementation phase; however, no implementation strategies, such as feedback and reminders, were used by the opinion leaders. At the end of the sustainability phase, three explanatory focus group interviews (one with each team, consisting of 10, 12 and 6 participants) were conducted with a randomly selected group of nurses to explain the data on fidelity to and acceptability of the PSD toolkit. The focus group interviews were moderated by a researcher who was not involved in implementation. The researchers and the research assistants observed, took notes, and handled the recording devices.
Data analysis
- the baseline data, the audit data, and the results of the BFAI and Clinical Utility Questionnaire: Frequencies, means, standard deviations and percentages
- comparison of differences in patient groups: the Chi-square test for categorical baseline data and t-tests
- BFAI: numbers with the corresponding percentage of nurses who agreed and strongly agreed with an item on the questionnaire.
- the Clinical Utility Questionnaire: a percentage of agreement with each item.
A change of +/-10% in fidelity and acceptability was used to indicate an increase or decrease (McCluskey \& Middleton, 2010). SPSS, version 23 (SPSS Inc., Chicago, IL, USA) was used for quantitative data analysis.
The individual and focus group interviews with the nurses were analysed according to predefined codes based on the topics in the interview guides. All interviews, as well as the focus groups, were audiotaped and transcribed verbatim. The transcripts were studied, and initial items were identified by a researcher, and subsequently, the items were discussed between two researchers. Based on consensus, the final items that explained the quantitative results on fidelity and acceptability of the PSD toolkit were established.
Ethical considerations This study received ethics approval from the Medical Ethics Committee of a University Medical Center (12-081C) and the local medical ethics committees of the participating hospitals. Informed consent was obtained from all participants.
- Conditions
- Depression, Stroke
- Being tested
- Post-Stroke Depression toolkit
- Keywords
- Complex intervention, Depression, Nursing, Stroke, Feasibility
- Medical subject headings
- Depression, Stroke
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Post-Stroke Depression toolkitOther
The Post-Stroke Depression toolkit consists of three components: (1) two screening instruments, (2) seven evidence-based nursing interventions, and (3) an instruction manual.
| Study group | Role | What they receive |
|---|---|---|
| Nurses | Nurses working on the neurological wards of three hospitals (one university hospital and two general hospitals) Receives: Other: Post-Stroke Depression toolkit |
What is being measured
The primary outcome is the main question the study is designed to answer.
Fidelity
the extent to which the components of the PSD toolkit are delivered as intended
Measured: 12 months
Acceptability
whether the PSD toolkit is judged suitable and satisfactory by the nurses
Measured: T=0; T=1 (after 6 months); T=2 (after 12 months)
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 Apr 2018
- Study start1 Apr 2012
- Primary completion30 Jun 2013
- Study completion30 Jun 2013
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (19)Papers the sponsor has linked to this study.
- Other trials for DepressionStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 120 participants (actual)
- Target duration
- 12 Months
Sponsor and investigators
- Lead sponsor
- University of Applied Sciences Utrecht
- Sponsor type
- University, hospital or other
- Collaborators
- UMC Utrecht
- Responsible party
- Principal investigator, Dr. Mariska van Dijk, University of Applied Sciences Utrecht
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03500250
- Sponsor's protocol ID
- PSD-toolkit
- Status last verified
- Apr 2018
- First submitted
- 9 Apr 2018
- Last updated
- 18 Apr 2018
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. Int J Nurs Stud. 2013 May;50(5):587-92. doi: 10.1016/j.ijnurstu.2012.09.010. Epub 2012 Nov 15. No abstract available.
PubMed 23159157Research design: qualitative, quantitative and mixed methods approaches Research design: qualitative, quantitative and mixed methods approaches Creswell John W Sage 320 pound29 0761924426 0761924426 [Formula: see text]. Nurse Res. 2004 Sep 1;12(1):82-83. doi: 10.7748/nr.12.1.82.s2.
PubMed 28718745de Man-van Ginkel JM, Gooskens F, Schepers VP, Schuurmans MJ, Lindeman E, Hafsteinsdottir TB. Screening for poststroke depression using the patient health questionnaire. Nurs Res. 2012 Sep-Oct;61(5):333-41. doi: 10.1097/NNR.0b013e31825d9e9e.
PubMed 22710475Gearing RE, El-Bassel N, Ghesquiere A, Baldwin S, Gillies J, Ngeow E. Major ingredients of fidelity: a review and scientific guide to improving quality of intervention research implementation. Clin Psychol Rev. 2011 Feb;31(1):79-88. doi: 10.1016/j.cpr.2010.09.007. Epub 2010 Oct 7.
PubMed 21130938McCluskey A, Middleton S. Delivering an evidence-based outdoor journey intervention to people with stroke: barriers and enablers experienced by community rehabilitation teams. BMC Health Serv Res. 2010 Jan 19;10:18. doi: 10.1186/1472-6963-10-18.
PubMed 20082725Peters M., Harmsen M., Laurant M. & Wensing M. (2002) Barriers to and facilitators for improvement of patient care. Nijmegen: Centre for Quality of Care Research (WOK), Radboud University Nijmegen Medical Centre, the Netherlands.
Polit, D. F., & Beck, C. T. (2008). Nursing research: Generating and assessing evidence for nursing practice Lippincott Williams & Wilkins.
Scheirer, M. A. (2005). Is sustainability possible? A review and commentary on empirical studies of program sustainability. American Journal of Evaluation 26(3), 320-347.
van Achterberg T, Schoonhoven L, Grol R. Nursing implementation science: how evidence-based nursing requires evidence-based implementation. J Nurs Scholarsh. 2008;40(4):302-10. doi: 10.1111/j.1547-5069.2008.00243.x.
PubMed 19094144Harris MR, Warren JJ. Patient outcomes: assessment issues for the CNS. Clin Nurse Spec. 1995 Mar;9(2):82-6.
PubMed 7600487Miller EL, Murray L, Richards L, Zorowitz RD, Bakas T, Clark P, Billinger SA; American Heart Association Council on Cardiovascular Nursing and the Stroke Council. Comprehensive overview of nursing and interdisciplinary rehabilitation care of the stroke patient: a scientific statement from the American Heart Association. Stroke. 2010 Oct;41(10):2402-48. doi: 10.1161/STR.0b013e3181e7512b. Epub 2010 Sep 2. No abstract available.
PubMed 20813995Johnson W, Onuma O, Owolabi M, Sachdev S. Stroke: a global response is needed. Bull World Health Organ. 2016 Sep 1;94(9):634-634A. doi: 10.2471/BLT.16.181636. No abstract available.
PubMed 27708464Kutlubaev MA, Hackett ML. Part II: predictors of depression after stroke and impact of depression on stroke outcome: an updated systematic review of observational studies. Int J Stroke. 2014 Dec;9(8):1026-36. doi: 10.1111/ijs.12356. Epub 2014 Aug 26.
PubMed 25156411Robinson RG, Jorge RE. Post-Stroke Depression: A Review. Am J Psychiatry. 2016 Mar 1;173(3):221-31. doi: 10.1176/appi.ajp.2015.15030363. Epub 2015 Dec 18.
PubMed 26684921Hart S, Morris R. Screening for depression after stroke: an exploration of professionals' compliance with guidelines. Clin Rehabil. 2008 Jan;22(1):60-70. doi: 10.1177/0269215507079841. Epub 2007 Nov 29.
PubMed 18048484
Study at a glance
From the registry record, last updated by the sponsor on 18 Apr 2018. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Feasibility of a Nurse-led Intervention for the Early Management of Depression After Stroke in Hospital
- ClinicalTrials.gov ID
- NCT03500250
- Acronym / sponsor ID
- PSD-toolkit
- Conditions
- Depression, Stroke
- Keywords
- Complex intervention, Depression, Nursing, Stroke, Feasibility
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 120 participants (actual)
- Lead sponsor
- University of Applied Sciences UtrechtUniversity, hospital or other
- Collaborators
- UMC Utrecht
- Study start
- 1 Apr 2012 (actual)
- Primary completion
- 30 Jun 2013 (actual)
- Study completion
- 30 Jun 2013 (actual)
- First posted
- 18 Apr 2018 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Rationale: Depression is a frequent complication after a stroke. In stroke guidelines several recommendations focus on early screening, and treatment off depression after stroke. Introducing clinical practice guidelines into routine daily practice however, is a difficult process. In order to make the recommendations applicable to clinical practice a toolkit was developed (the Post Stroke Depression-toolkit), which provides assessment tools for the early detection of depression after stroke, and a set of interventions in case of a positive screening for (risk on) depressive symptoms.
Objective: to investigate the feasibility of the Post Stroke Depression-toolkit in daily practice.
Study design: An explanatory mixed-methods, before-and-after study design. Study population: Nurses working on the neurological wards of one university hospital and two general hospitals in the Netherlands were included in the study. Additionally, data were obtained from patient charts.
Detailed description
Worldwide, approximately 50 million people who survived a stroke cope with physical, cognitive, and emotional impairments, and many of these survivors depend on caregivers to manage activities of daily living (Miller, et al., 2010). Stroke is the third leading cause of disability (Johnson, et al., 2016). Depression is a frequent and serious complication after stroke impeding rehabilitation outcome, and is associated with a higher mortality risk, and a lower quality of life (Kutlubaev \& Hackett, 2014; Robinson \& Jorge, 2015).
There is growing evidence for successful treatment of depression after stroke (Robinson \& Jorge, 2015). Recommendations of stroke guidelines on the early management of depressive symptoms have not been structurally implemented in current practice, and only a minority of the acute care stroke teams assess mood on a systematic way in daily care (Hart \& Bowen, 2008; Bowen, et al., 2005). Hence, depression is still one of the most underdiagnosed and undertreated complications after stroke (Miller et al., 2010), resulting in worse patient outcomes and delayed recovery (Robinson \& Jorge, 2015). In a feasibility study of the Nursing Rehabilitation Guideline for Stroke (Hafsteinsdóttir \& Schuurmans, 2009) it was suggested that simplifying the guideline and integrating the recommendations into a stroke care pathway could gain a more positive attitude towards the guideline and improve its feasibility (Hafsteinsdóttir et al., 2013). Therefore, the Post-Stroke Depression toolkit (PSD toolkit), an intervention for the early management of depression after stroke, has been developed.
The feasibility of this intervention was tested following phase two of the British Medical Research Council (MRC) guidelines (Craig et al., 2013). In this study, feasibility (Polit \& Beck, 2008) is measured in terms of (1) fidelity, defined as the extent to which the components of the PSD toolkit are delivered as intended, and (2) acceptability, defined as whether the PSD toolkit is judged suitable and satisfactory by the nurses (Gearing et al., 2011). After evaluating implementation, the sustainability of the PSD toolkit requires evaluation as well (Scheirer, 2005). Sustainability is defined as fidelity to the PSD toolkit six months after completing implementation.
The aims of the study were (1) to explore the feasibility of the PSD toolkit in terms of fidelity and acceptability in three phases-a pre-implementation phase, an implementation phase, and a sustainability phase six month after-and (2) to identify elements for further refinement and improvement in the toolkit to enhance its feasibility in daily stroke care during the hospital stay.
Design: An explanatory mixed-methods, before-and-after study design(Creswell, 2008).
Data were collected by patient chart audits and surveys among nurses. Individual and focus group interviews with nurses followed the quantitative data collection to explain the findings (Creswell, 2008).
Data were collected pre-implementation in March and April 2012, during implementation from April 2012 until December 2012 and during the sustainability phase from December 2012 until June 2013.
A team with expertise in stroke care, consisting of two researchers and five nurses from the participating nursing teams, guided the implementation.
Participants and setting Nurses working on the neurological wards of one university hospital and two general hospitals in the Netherlands were included in the study. Additionally, data were obtained from patient charts.
Implementation strategies Evidence-based implementation strategies were used to facilitate the implementation of the PSD toolkit: (1) education and training of the nurses in applying the PSD toolkit, (2) opinion leaders, and (3) audit and feedback by the researcher (Van Achterberg et al., 2008).
Data collection Baseline data To gain insight into the patients in whom the toolkit was used, data on gender, age, marital status, living arrangements, type of stroke, length of hospital stay, and discharge destination were collected. The demographics collected on the nurses included gender, age, education, years working on the ward, and full-time equivalent.
Patient chart audit Fidelity was measured in terms of the extent to which the components of the PSD toolkit were applied as intended; patient chart audits were performed to establish the number of patients who were screened for depressive symptoms and who received nursing interventions in the case of a positive screening.
The Barriers and Facilitators Assessment Instrument To obtain a thorough understanding of the experiences and opinions of the nurses that influence fidelity, perceived barriers were evaluated using the Barriers and Facilitators Assessment Instrument (BFAI) (Peters et al., 2002)consisting of 18 statements, both positively and negatively formulated. One of the authors of the original questionnaire reviewed and approved the adaptations, confirming the content validity. The nurses indicated, on a five-point Likert scale, if they (dis)agreed with a statement. The scale ranged from 5 (strongly agree) to 1 (strongly disagree). To identify barriers, the percentage who agreed and strongly agreed with the positively formulated statements were recoded into disagree and strongly disagree; an item score of >3 (agree/strongly agree) indicating a barrier.
The Clinical Utility Questionnaire Acceptability was measured in terms of the clinical utility (Harris \& Warren, 1995) of the PSD toolkit as perceived by the nurses. Clinical utility was assessed using an adapted version of the Clinical Utility Questionnaire including 19 items addressing nurses' views on the toolkit, focussing on item clarity, acceptability of time investment, utility of the instruments, and relevance and utility of the nursing interventions. The content validity of the adapted questionnaire was assessed by one of the authors of the original questionnaire (de Man-van Ginkel et al., 2012).
Interviews with nurses To explain the results of the audits, BFAI and the Clinical Utility Questionnaire, semi-structured with the nurses on the participating wards were performed at the end of the implementation phase and three focus group interviews were conducted at the end of the sustainability phase. The interview guides consisted of the following topics derived from results of the audits and questionnaires: (1) presentation of the quantitative results, (2) possible explanations for the changes (decrease/increase) in fidelity, (3) nurses' views on barriers or facilitators to use of the PSD toolkit and its clinical utility, and (4) suggestions to further improve the toolkit.
Procedure Pre-implementation phase Data was collected on daily nursing care regarding the management of depressive symptoms after stroke. The researchers examined the charts of all patients admitted to the participating wards using a data extraction form.
Furthermore, all nurses and nursing students received education and training sessions totalling three hours, which covered (1) depression after stroke (causes, consequences, and the importance of early detection of depressive symptoms), evidence-based nursing interventions, and (2) the content and procedures of the PSD toolkit.
Implementation phase The researcher visited the participating wards four times per week for patient chart audits to collect baseline data and data on fidelity of the PSD toolkit by registering the frequency of delivery of the components of the PSD toolkit by the nurses. The researchers sent the results of the patient chart audit (e.g., the proportion of patients who were screened for depressive symptoms and who received nursing interventions) to the opinion leaders. Subsequently, the opinion leaders used this overview to provide feedback and to remind the nurses to screen a patient for depressive symptoms and apply appropriate nursing interventions.
At the end of the implementation phase, the researchers sent the BFAI and Clinical Utility Questionnaire to the nurses. After two weeks, a reminder was sent to all non-respondents. Subsequently, the researchers conducted individual interviews with a random sample of five nurses from each of the participating nursing teams to explain fidelity to and acceptability of the toolkit by discussing the outcomes of the audit, the BFAI and the Clinical Utility Questionnaire.
Sustainability phase During the sustainability phase, the same procedure was used as in the implementation phase; however, no implementation strategies, such as feedback and reminders, were used by the opinion leaders. At the end of the sustainability phase, three explanatory focus group interviews (one with each team, consisting of 10, 12 and 6 participants) were conducted with a randomly selected group of nurses to explain the data on fidelity to and acceptability of the PSD toolkit. The focus group interviews were moderated by a researcher who was not involved in implementation. The researchers and the research assistants observed, took notes, and handled the recording devices.
Data analysis
- the baseline data, the audit data, and the results of the BFAI and Clinical Utility Questionnaire: Frequencies, means, standard deviations and percentages
- comparison of differences in patient groups: the Chi-square test for categorical baseline data and t-tests
- BFAI: numbers with the corresponding percentage of nurses who agreed and strongly agreed with an item on the questionnaire.
- the Clinical Utility Questionnaire: a percentage of agreement with each item.
A change of +/-10% in fidelity and acceptability was used to indicate an increase or decrease (McCluskey \& Middleton, 2010). SPSS, version 23 (SPSS Inc., Chicago, IL, USA) was used for quantitative data analysis.
The individual and focus group interviews with the nurses were analysed according to predefined codes based on the topics in the interview guides. All interviews, as well as the focus groups, were audiotaped and transcribed verbatim. The transcripts were studied, and initial items were identified by a researcher, and subsequently, the items were discussed between two researchers. Based on consensus, the final items that explained the quantitative results on fidelity and acceptability of the PSD toolkit were established.
Ethical considerations This study received ethics approval from the Medical Ethics Committee of a University Medical Center (12-081C) and the local medical ethics committees of the participating hospitals. Informed consent was obtained from all participants.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Target follow-up
- 12 Months
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Nurses | – | Other: Post-Stroke Depression toolkitNurses working on the neurological wards of three hospitals (one university hospital and two general hospitals) |
Who may qualify
- Ages
- 18 to 65 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- All nurses working on the neurological wards and stroke units of the participating hospitals, one university hospital and two general hospitals.
Key inclusion criteria (1 listed)
- Registered Nurses with or without Bachelor degree in Nursing (BN); Nursing students.
Key exclusion criteria (1 listed)
- none
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Post-Stroke Depression toolkitThe Post-Stroke Depression toolkit consists of three components: (1) two screening instruments, (2) seven evidence-based nursing interventions, and (3) an instruction manual. | Other | Nurses |
Primary outcome
Fidelity
Time frame: 12 months
the extent to which the components of the PSD toolkit are delivered as intended
Acceptability
Time frame: T=0; T=1 (after 6 months); T=2 (after 12 months)
whether the PSD toolkit is judged suitable and satisfactory by the nurses
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 18 Apr 2018.
- Background: PubMed 23159157Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. Int J Nurs Stud. 2013 May;50(5):587-92. doi: 10.1016/j.ijnurstu.2012.09.010. Epub 2012 Nov 15. No abstract available.
- Background: PubMed 28718745Research design: qualitative, quantitative and mixed methods approaches Research design: qualitative, quantitative and mixed methods approaches Creswell John W Sage 320 pound29 0761924426 0761924426 [Formula: see text]. Nurse Res. 2004 Sep 1;12(1):82-83. doi: 10.7748/nr.12.1.82.s2.
- Background: PubMed 22710475de Man-van Ginkel JM, Gooskens F, Schepers VP, Schuurmans MJ, Lindeman E, Hafsteinsdottir TB. Screening for poststroke depression using the patient health questionnaire. Nurs Res. 2012 Sep-Oct;61(5):333-41. doi: 10.1097/NNR.0b013e31825d9e9e.
- Background: PubMed 21130938Gearing RE, El-Bassel N, Ghesquiere A, Baldwin S, Gillies J, Ngeow E. Major ingredients of fidelity: a review and scientific guide to improving quality of intervention research implementation. Clin Psychol Rev. 2011 Feb;31(1):79-88. doi: 10.1016/j.cpr.2010.09.007. Epub 2010 Oct 7.
- Background: PubMed 20082725McCluskey A, Middleton S. Delivering an evidence-based outdoor journey intervention to people with stroke: barriers and enablers experienced by community rehabilitation teams. BMC Health Serv Res. 2010 Jan 19;10:18. doi: 10.1186/1472-6963-10-18.
- BackgroundPeters M., Harmsen M., Laurant M. & Wensing M. (2002) Barriers to and facilitators for improvement of patient care. Nijmegen: Centre for Quality of Care Research (WOK), Radboud University Nijmegen Medical Centre, the Netherlands.
- BackgroundPolit, D. F., & Beck, C. T. (2008). Nursing research: Generating and assessing evidence for nursing practice Lippincott Williams & Wilkins.
- BackgroundScheirer, M. A. (2005). Is sustainability possible? A review and commentary on empirical studies of program sustainability. American Journal of Evaluation 26(3), 320-347.
- Background: PubMed 19094144van Achterberg T, Schoonhoven L, Grol R. Nursing implementation science: how evidence-based nursing requires evidence-based implementation. J Nurs Scholarsh. 2008;40(4):302-10. doi: 10.1111/j.1547-5069.2008.00243.x.
- Background: PubMed 7600487Harris MR, Warren JJ. Patient outcomes: assessment issues for the CNS. Clin Nurse Spec. 1995 Mar;9(2):82-6.
- Background: PubMed 20813995Miller EL, Murray L, Richards L, Zorowitz RD, Bakas T, Clark P, Billinger SA; American Heart Association Council on Cardiovascular Nursing and the Stroke Council. Comprehensive overview of nursing and interdisciplinary rehabilitation care of the stroke patient: a scientific statement from the American Heart Association. Stroke. 2010 Oct;41(10):2402-48. doi: 10.1161/STR.0b013e3181e7512b. Epub 2010 Sep 2. No abstract available.
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- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
Questions about this trial
What is this clinical trial studying?
An observational study of Depression and Stroke, run by University of Applied Sciences Utrecht.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 18 Apr 2018. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Fidelity (time frame: 12 months). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT03500250, which also lists 19 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 18 Apr 2018.