Integrated care programmes (ICPs) to coordinate and secure care continuity have been raised as essential to provide quality care of frail older people, and these programmes are recommended in the World Health Organization (WHO) guidelines as well as Swedish legislation [1, 2, 3, 4]. Often, frail older people have complex and comprehensive needs, including both health (e.g. having multiple diagnoses) and social care (e.g. having financial hardships) that require care from various professionals across organisational boundaries . Meeting the needs of and offering good quality integrated care to frail older people can thus be challenging to health and social care organisations. Thus, to ensure continuity of care from inpatient through outpatient care, ICPs should include collaboration, multi-professional teams and continuous staff education .
However, research has emphasised structural factors, such as a lack of mutual laws and policies and knowledge about each other’s working conditions [6, 7], different administrative boundaries and information systems , which create barriers to inter-organisational collaboration. Moreover, there are factors related to the differences in commitments between the organisations, different interests and values and organisational and professional cultures that create barriers to collaboration between organisations. On an operational level, lack of experience of inter-organisational collaboration, communication deficits, the influence of different professions, professional status and power, psychosocial factors and diverging expectations of care responsibilities are also described as barriers to inter-organisational collaboration in the literature [9, 10, 11]. Furthermore, difficulties to inter-organisational collaboration have been emphasized between healthcare and social care staff . Hence, there is a need to support  and to address the obstacles to inter-organisational collaboration when designing and implementing ICPs.
In Sweden, the municipalities have the overall responsibility for social care and services for older people, including special housing. However, health care is provided by both regions/county councils and municipalities, and the division of responsibility is more complex. Within the county councils the regional/local hospitals are responsible for acute medical care that requires hospital admission, and primary health care centers are responsible for outpatient care. Municipal healthcare is in charge of health care (except for medical care) for those living in special housing, and after local agreements for home nursing for those living in their own homes. In both health and social care, staff with as well as without academic degrees are found. Registered nurses, occupational therapists, physiotherapists, social workers and physicians all have at least a bachelor level university degree in their discipline, and thus regarded as academic professions. Whereas, practical nurses, including nurses’ aides, most often have a degree from upper secondary school and may be regarded as non-academic staff.
Both in Sweden and internationally, there is a lack of studies exploring how staffs’ organisational affiliation to inpatient or outpatient care and educational level may influence their views on various previously identified barriers to inter-organisational collaboration. Staffs’ educational levels and organisational affiliations may have an impact on how they interact in situations while collaborating with staff from other organisations. Moreover, the implementation of complex interventions depends on how the organisations and staff interact . Challenges to implementing complex interventions are related to insufficient funding, knowledge and training among the staff . Hence, external and internal factors, such as motivation and capability, may have an impact on implementation outcomes . To create the best possible conditions for successful outcomes when implementing complex interventions, such as ICPs, staffs’ views are important and need to be integrated into the implementation process. Therefore, the aim of this study was to investigate the staffs’ views on which s barriers, measured as factors, that may impact inter-organisational collaboration in the context of health and social care for frail older people. We also aimed to compare the outcomes between inpatient and outpatient staff, and education level.
The current ICP was developed in collaboration with a university hospital, municipal health and social care, primary care staff and researchers at AgeCap, Centre for Aging and Health at the University of Gothenburg. The ICP includes comprehensive geriatric assessments in the emergency department followed by an assessment and discharge planning at home from a multi-professional team coordinated by a case manager. The purpose of the programme is to build an integrated continuum of care for frail older patients from the emergency unit through the hospital and back to community living. The programme was developed and tested in the Swedish context between 2012–2016 within the study “Continuum of Care for Frail Older People”, which designed a randomised, two-armed intervention study for frail older people who were living in the community. The intervention model was shown to improve the care quality of the frail older people compared to conventional care [17, 18, 19, 20, 21, 22]. These promising results became the basis of a political decision to implement the model as a programme starting in 2012 [23, 24]. Prior to the implementation, the staff performing the activities of the ICP, who all had an academic education, received training from the project leaders and researchers about the programme organisation, laws and guidelines that regulate the discharge process as well as the inter-organisational and professional collaborative approach to the programme. The other staff involved in performing health and social care for frail older people, both academic and non-academic staff mainly received information about the programme organisation.
This study was designed as a cross-sectional study to investigate the staffs’ views on inter-organisational collaboration within an ICP. The surveys were distributed in local units within hospital, primary care and municipal health and social care in an average sized municipality in Western Sweden. The survey was conducted in 2012.
In this study, a questionnaire that was used in a similar study regarding the implementation and collaboration within child protection was modified and used . The final questionnaire contained seven factors, which were based on previous research findings [6, 7, 8, 9, 10, 11, 12] that showed had an impact on inter-organisational collaboration (see Table 1). The modification comprised four steps, involving the care organisations, to be suitable for the health and social care context and the target group.
|Assess the importance of the following factors for inter-organisational collaboration around frail older people. How do/does:|
||Laws and regulations|
||Status and power|
The first step in the modification was based on the findings of a qualitative study of the implementation process of “Continuum of Care for Frail Older People” . Second, the questionnaire was modified following the steering committee review. In the third step, staff at operative levels pilot tested the questionnaire. Finally, the questionnaire was revised and tested one last time in order to verify its validity .
The seven factors were chosen to investigate the staffs’ views on the barriers for inter-organisational collaboration within the ICP around frail older people. The factors were turned into questions to measure the staffs’ views on a visual analogue scale (VAS) ranging from 1 – no difficulty to 5 – great difficulties with a 0 - ‘don’t know’ alternative. The response alternatives were then categorised and dichotomised into no difficulty (response alternatives 0–3) and difficulties (response alternatives 4–5). The questions and their abbreviations are presented in Table 1.
Initially, there was a multistage sampling among 32 units in a university hospital, primary care and municipal health and social care . These units were then categorised as inpatient (hospital) and outpatient (primary and municipal health and social care). This multistage sample represented relevant care specialties at the hospital (geriatrics, orthopaedics, medicine, emergency department), health centres and responsibilities within the municipality (needs-assessment, home-care services, home nursing, rehabilitation). Thereafter, the units within each specialty or unit were proportionally randomised . Twenty-four units from a university hospital, primary care and municipal health and social care were included. Six units dropped out initially, as a contract with a private home care provider had expired, one unit declined participation for organisational reasons, and four units were unreachable.
There were 18 units remaining, and the number of staff in each of the units varied between 8-45 staff. In inpatient care, physicians, occupational therapists and physiotherapists were organised at separate units at the hospital and were therefore excluded. Data collection took place at staff meetings within the units at the university hospital, health centres and municipal health and social care. All of these units were directly or indirectly involved with the ICP. There were various professional groups represented in the units with those with academic degrees like occupational therapists and physiotherapists, social workers, nurses and physicians. Non-academic staff were practical nurses including nurses’ aides, who were categorised as practical nurses. The total median age was 44 years, and the majority of the respondents were women and practical nurses. Descriptive statistics with demographic data are presented in Table 2.
|CHARACTERISTICS||INPATIENT CARE N = 48 (23%)||OUTPATIENT CARE N = 160 (77%)||TOTAL N = 208 (100%)|
|Median age (range)||43 (24–64)||45 (19–64)||44 (19–64)|
|Women, n (% valid)||44 (94)||142 (92)||186 (92)|
|Occupational therapists||0||15 (9)||15 (7)|
|Social workers||0||9 (6)||9 (4)|
|Physiotherapists||0||11 (7)||11 (5)|
|Nurses||27 (56)||23 (14)||50 (24)|
|Practical nurses||21 (44)||95 (59)||116 (56)|
|Physicians||0||7 (4)||7 (3)|
Initially, the managers at the units were contacted by telephone and then by e-mail. They received oral and written information about the study, and they were asked to invite the researchers to a staff meeting. The researchers’ goals were to distribute and collect the questionnaires when the staff were gathered at the meetings and to attend the meetings to respond to any potential questions. Hence, at 12 out of 18 meetings, the questionnaires were distributed by the researchers. However, six managers returned the questionnaires by post since they distributed the questionnaires at a staff meeting themselves. Two people declined to participate.
The results were summarised by frequencies and percentages, and Chi-square tests were carried out for group comparisons (i.e. inpatient versus outpatient care staff and academic versus non-academic staff) . Statistical significance was set at p ≤ 0.05. Data analysis was performed using IBM SPSS Statistics for Windows, version 23.0 (IBM Corp., Armond, New York). Missing values were ≤ 4%.
This study was approved by the Swedish Research Ethical Committee, 2008, 2012 (Dnr 413–08 and T 140–12). The participants were given information in accordance to the research ethical standards based on the World Medical Association (WMA) Declaration of Helsinki’s  ethical principles for medical research involving human participants. The data were handled confidentially, and only the researchers had access to the responses.
There were 208 respondents in this study, representing both inpatient care (n = 48) and outpatient care (n = 160). A majority (n = 116) were non-academic and a minority (n = 92) had tertiary academic education. Having insufficient knowledge about each other’s work settings was the factor that the staff scored as associated with the greatest difficulty to inter-organisational collaboration when implementing an ICP (n = 132, 63%), as presented in Table 3. Having insufficient experience with inter-organisational collaboration was the second highest ranked factor that was perceived as creating difficulty for collaboration (n = 99, 48%), and psychosocial factors, such as insufficient work environments and interpersonal chemistry (n = 91, 44%) was third. The influence of different professions (n = 27, 13%) and professional status and power among the staff at the care units (n = 49, 24%) were the least indicated to cause collaborative difficulty. Furthermore, a large proportion of the staff did not know how laws and regulations (n = 95, 46%) or how status and power influenced inter-organisational collaboration (n = 77, 37%).
|QUESTION ABBREVIATIONS||RESPONSE ALTERNATIVES TO DIFFICULTIES N = 208 (%)|
|A. YES||B. NO||C. DON’T KNOW|
|Knowledge||132 (63)||39 (19)||31 (15)|
|Collaboration||99 (48)||51 (25)||51 (25)|
|Psychosocial factors||91 (44)||47 (23)||62 (30)|
|Laws and regulations||65 (31)||40 (19)||95 (46)|
|Long distances||65 (31)||75 (35)||63 (30)|
|Status and power||49 (24)||75 (36)||77 (37)|
|Professions||27 (13)||111 (53)||62 (30)|
Staff without an academic education responded that they did not know to a greater proportion of questions (24–56%) compared to staff with an academic education (4–37%). See Table 5.
There were no statistically significant differences in the inpatient versus outpatient staff views when comparing potential difficulties to inter-organisational collaboration (see Table 4).
|QUESTION ABBREVIATIONS||RESPONSE ALTERNATIVES TO DIFFICULTIES||INPATIENT CARE N = 48 (%)||OUTPATIENT CARE N = 160 (%)||P-VALUE||TOTAL N = 208 (%)|
|Long distances||A. Yes||13 (28)||52 (34)||.124||65 (31)|
|B. No||13 (28)||60 (39)||75 (35)|
|C. Don’t know||20 (43)||43 (28)||63 (30)|
|Laws and regulations||A. Yes||12 (26)||53 (34)||.108||65 (31)|
|B. No||6 (13)||34 (22)||40 (19)|
|C. Don’t know||28 (61)||67 (44)||95 (46)|
|Knowledge||A. Yes||29 (63)||103 (66)||.653||132 (63)|
|B. No||8 (17)||31 (20)||39 (19)|
|C. Don’t know||9 (20)||22 (14)||31 (15)|
|Collaboration||A. Yes||21 (46)||78 (50)||.428||99 (48)|
|B. No||10 (22)||41 (26)||51 (25)|
|C. Don’t know||15 (33)||36 (23)||51 (25)|
|Professions||A. Yes||2 (4)||25 (16)||.127||27 (13)|
|B. No||27 (60)||84 (54)||111 (53)|
|C. Don’t know||16 (36)||46 (30)||62 (30)|
|Status and power||A. Yes||9 (20)||40 (26)||.089||49 (24)|
|B. No||13 (28)||62 (40)||75 (36)|
|C. Don’t know||24 (52)||53 (34)||77 (37)|
|Psychosocial factors||A. Yes||21 (46)||70 (45)||.442||91 (44)|
|B. No||8 (17)||39 (25)||47 (23)|
|C. Don’t know||17 (37)||45 (29)||62 (30)|
When comparing differences in views between staff with academic and non-academic educations, statistically significant differences occurred at all collaboration factors. See Table 5. Academic staff compared to the non-academic staff scored several factors higher as causing difficulty for inter-organisational collaboration: laws and regulations (p = .02), insufficient knowledge about each other’s work settings (p = .001) and insufficient experiences of inter-organisational collaboration (p = .002). On the other hand, non-academic staff scored other difficulties to inter-organisational collaboration higher: long distances (p = .02), different professions (p < .001), professional status and power among the staff at the care units (p = .02) and psychosocial factors, for instance insufficient work environments, interpersonal chemistry, (p = .01).
|QUESTION ABBREVIATIONS||RESPONSE ALTERNATIVES TO DIFFICULTIES||ACADEMIC EDUCATION N = 92 (%)||NON-ACADEMIC EDUCATION N = 116 (%)||P-VALUE||TOTAL N = 208(%)|
|Long distances||A. Yes||26 (29)||39 (35)||.02||65 (31)|
|B. No||42 (47)||31 (28)||73 (35)|
|C. Don’t know||22 (24)||41 (37)||63 (30)|
|Laws and regulations||A. Yes||36 (40)||29 (36)||.02||65 (31)|
|B. No||21 (23)||19 (17)||40 (19)|
|C. Don’t know||33 (37)||62 (56)||95 (46)|
|Knowledge||A. Yes||68 (76)||64 (57)||.001||132 (63)|
|B. No||18 (20)||21 (19)||39 (19)|
|C. Don’t know||4 (4)||27 (24)||31 (15)|
|Collaboration||A. Yes||52 (58)||47 (42)||.002||99 (48)|
|B. No||25 (28)||26 (23)||51 (25)|
|C. Don’t know||12 (13)||39 (35)||51 (25)|
|Professions||A. Yes||10 (11)||17 (15)||< .001||27 (13)|
|B. No||65 (72)||46 (42)||111 (53)|
|C. Don’t know||15 (17)||47 (43)||62 (30)|
|Status and power||A. Yes||20 (22)||29 (26)||.02||49 (24)|
|B. No||43 (48)||32 (29)||75 (36)|
|C. Don’t know||27 (30)||50 (45)||77 (37)|
|Psychosocial factors||A. Yes||40 (45)||51 (46)||.01||91 (44)|
|B. No||29 (33)||18 (16)||47 (23)|
|C. Don’t know||20 (22)||42 (38)||62 (30)|
There were no significant differences between inpatient and outpatient care staff on factors that influenced inter-organisational collaboration. However, staff views diverged significantly on all factors when comparing academic to non-academic staff when implementing an ICP that requires inter-organisational collaboration.
The academic staff scored insufficient knowledge about each other’s work settings and their particular conditions as a difficulty to inter-organisational collaboration. This factor can be related to the lack of mutual awareness of each other’s work settings and their circumstances. However, previous studies have demonstrated the importance of staff education to overcome barriers, such as a lack of mutual knowledge of each other’s work settings, to inter-organisational collaboration . Hence, this issue emphasises the importance of including knowledge about each other’s work settings and related conditions when planning the training that is involved in inter-organisational implementation.
The non-academic staff scored long physical distances between the involved units as a difficulty to inter-organisational collaboration. A possible explanation for this may be that the non-academic staff worked at premises that were far from the administrative buildings, hospital and health centre. Programme decisions are made to a high degree at the top management levels, presupposing top-down implementation of decisions where the non-academic staff, mainly from home-care services, had limited influence. Possibly, these management decisions are implemented without fully understanding the reality for the non-academic staff working conditions. Furthermore, a higher proportion of the non-academic staff selected the ‘don’t know’ response on all collaboration factors. A possible reason for this may be that the non-academic staff were practical nurses including nurses’ aides, and as such, not primarily responsible for collaboration and negotiation of care needs at patient discharge .
Studies have shown lower education, perceived lower status among social care workers, lack of knowledge and mistrust between staff from hospital and municipal health and social care were obstructing factors to collaboration . Our findings revealed that lower education had a statistically significant influence on perceived difficulties to inter-organisational collaboration prior to implementing the ICP. According to Swedish law and the Higher Education Ordinance , obtaining a bachelor degree implies the graduate has a critical approach to their work and an ability to work independently. Hence, academically educated staff are of great benefit because academically educated nurses have been shown improve care quality and decrease patient mortality rates . However, in our study, the majority of the non-academic respondents were workers from the municipal home care services, where there is a deficit in Sweden in relevant academic caring educations. Mistrust between staff from healthcare and social care was evident. Insufficient knowledge about each other’s work settings and their particular conditions was indicated as a difficulty that influenced collaboration within the ICP. Having preconceived ideas concerning other professions may serve as obstacles to collaboration among staff from healthcare and social care and have an impact on the development of care improvements [11, 32, 33, 34].
To accomplish inter-organisational collaboration, multidisciplinary teamwork needs to meet the demand for specialisation and the need for care integration . Teamwork is accomplished through shared decision-making, open communication and interdependent collaboration to improve patient, staff and organisational outcomes . However, studies have shown that teamwork, contrary to its goals, strengthened professional hierarchies, occupational division and excluded groups of unlicensed staff from participating at work in healthcare [29, 37]. Those results were evident in our study where lower educational levels among the staff significantly impacted collaboration. However, collaboration can be facilitated by good professional relationships, which can be implemented with training about each other’s professional roles even if they have not had previous experience with collaborative programmes . Therefore, there is a need to develop avenues for inter-organisational collaboration for staff on the operative level to come together regardless of educational level.
To improve the preconditions for implementation of an ICP, a multidisciplinary team culture needs to be developed. Staff at the operative level should be included in the team to be able to be a part of building a mutual understanding of each other’s roles. Moreover, the development of new roles and competencies for integrated care has to be initiated by the management . The results from the present study will form the basis of a longitudinal study between organisations of the implementation of an ICP from the staff’s understanding, commitment and ability to change their work procedures.
This study investigated the staffs’ views at one occasion—the start of the implementation of an ICP in a Swedish municipality. The units had heavy workloads with high employee turnover. This meant there were new staff with limited work experience, knowledge and experience of the inter-organisational collaboration programme. Hence, new staff may have selected the ‘don’t know’ response in the questionnaire. The researchers had control while collecting the questionnaires but not when the managers collected them, which may have influenced the responses. To respond to the aim and to not miss data, the factors were dichotomised into yes difficulties, and no difficulty including the ‘don’t know’ response. As occupational and physiotherapists in inpatient care were excluded, this caused a skewed sample towards nurses. The lack of significant differences between inpatient and outpatient staff may be caused by the uneven group sizes. Thus, a large sample size may have discovered differences. However, we estimate these results may be representative for all operative staff who were directly or indirectly involved in the ICP. Moreover, these limitations reflect ‘real-life’ conditions in many health and social care organisations. Our results could still increase our understanding of the influence different collaboration barriers have to complex organisational settings that are trying to implement more integrated and collaborative programmes between inpatient and outpatient care.
Care of frail older people is often fragmented, including lack of integration and continuity between involved care organisations as well as between staff at different levels, and result in failures to meet their complex needs. Developing and implementing ICPs, to improve inter-organisational collaboration in this context, may overbridge these deficiencies. However, it is important to identify and address the barriers to integrated care that involved staff view as most obstrusive. In doing so diverging views according to organisational affilliation and/or educational level has to be taken into consideration. In this study, we show that educational level influence the views on barriers to inter-organisational collaboration, results that may guide future development and implementation of ICPs.
This study has been funded by grants from the Swedish Research Council for Health, Working Life and Welfare (AGECAP 2013–2300), Vinnvård for study design and data collection, and Prytz Folkes foundation and R&D Center FoU Sjuhärad Välfärd at the University of Borås for data collection, analysis and manuscript preparation.
The authors have no competing interests to declare.
World Health Organization. Integrated care for older people (ICOPE) implementation framework: guidance for systems and services. Geneva: WHO; 2019 [cited 2022 Februar 14]. Available from. DOI: https://apps.who.int/iris/handle/10665/325669
Swedish Code of Statutes (SFS 2017:612). Lag om samverkan vid utskrivning från sluten hälso- och sjukvård. [Act on collaboration at hospital discharge]. Stockholm: Ministry of Health and Social Affairs. [in Swedish].
Leijten F, Struckmann V, van Ginneken E, Czypionka T, Kraus M, Reiss M, et al. The SELFIE framework for integrated care for multi-morbidity: development and description. Health Policy. 2018; 122(1): 12–22. DOI: https://doi.org/10.1016/j.healthpol.2017.06.002
Pratt R, Gyllstrom B, Gearin K, Lange C, Hahn D, Baldwin LM, et al. Identifying Barriers to Collaboration between primary care and public health: experiences at the local level. Public Health Reports. 2018; 133(3): 311–17. DOI: https://doi.org/10.1177/0033354918764391
Lyngsø AM, Godtfredsen NS, Frølich A. Interorganisational integration: healthcare professionals’ perspectives on barriers and facilitators within the Danish healthcare system. International Journal of Integrated Care. 2016; 16(1): 4. DOI: https://doi.org/10.5334/ijic.2449
Auschra C. Barriers to the integration of care in inter-organisational settings: a literature review. International Journal of Integrated Care. 2018; 18(1): 5. DOI: https://doi.org/10.5334/ijic.3068
Huxham S, Vangen C, Huxham C, Eden C. The challenge of collaborative governance. Public Management: An International Journal of Research and Theory. 2000; 2(3): 337-58. DOI: https://doi.org/10.1080/14719030000000021
Vangen S, Huxham C. Nurturing collaborative relations: building trust in inter-organizational collaboration. Journal of Applied Behavioral Science. 2003; 39(1): 5–31. DOI: https://doi.org/10.1177/0021886303039001001
Lau J, Wong E, Chung R, Law S, Threapleton D, Kiang N, et al. Collaborate across silos: perceived barriers to integration of care for the elderly from the perspectives of service providers. International Journal of Health Planning and Management. 2018; 33(3): e768-e780. DOI: https://doi.org/10.1002/hpm.2534
Baker L, Egan-Lee E, Martimianakis MA, Reeves S. Relationhips of power: implications for interprofessional education. Journal of Interprofessional Care. 2011; 25: 98–104. DOI: https://doi.org/10.3109/13561820.2010.505350
Steihaug S, Johannessen AK, Ådnanes M, Paulsen B, Mannion R. Challenges in achieving collaboration in clinical practice: the case of Norwegian health care. International Journal of Integrated Care. 2016; 16(3): 1–13. DOI: https://doi.org/10.5334/ijic.2217
Greenhalgh T, Papoutsi C. Spreading and scaling up innovation and improvement. British Medical Journal. 2019; 365(12068): None. DOI: https://doi.org/10.1136/bmj.l2068
Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implementation Science. 2011; 6(1): 42–42. DOI: https://doi.org/10.1186/1748-5908-6-42
Wilhelmsson K, Dunér A, Eklund K, Hedström GG, Blomberg S, Hasson H, et al. Design of a randomized controlled study of a multi-professional and multidimensional intervention targeting frail elderly people. BMC Geriatrics. 2011; 11(1): 24–24. DOI: https://doi.org/10.1186/1471-2318-11-24
Hammar IO, Westgård T, Eklund K, Wilhelmsson K, Ivanoff SD. From intervention trial to full-scale implementation research: positive tendencies for frailty and self-rated health in frail older people. International Journal of Geriatrics and Gerontology. 2018; IJGG–112. DOI: https://doi.org/10.29011/2577-0748
Berglund H, Hasson H, Kjellgren K, Wilhelmsson K. Effects of a continuum of care intervention on frail older persons’ life satisfaction: a randomized controlled study. Journal of Clinical Nursing. 2015; 24(7–8): 1079–90. DOI: https://doi.org/10.1111/jocn.12699
Ebrahimi Z, Eklund K, Ivanoff SD, Jakobsson A, Wilhelmsson K. Effects of a continuum of care intervention on frail elders’ self-rated health, experiences of security/safety and symptoms: a randomized controlled trial. Nordic Journal of Nursing Research. 2017; 37(1): 33–43. DOI: https://doi.org/10.1177/2057158516668710
Ekelund C, Eklund K. Longitudinal effects on self-determination in the RCT Continuum of care for frail elderly people. Quality in Ageing and Older Adults. 2015; 16(3): 165–76. DOI: https://doi.org/10.1108/QAOA-12-2014-0045
Eklund K, Wilhelmsson K, Gustafsson H, Landahl S, Ivanoff SD. One-year outcome of frailty indicators and activities of daily living following the randomized controlled trial: Continuum of care for frail older people. BMC Geriatrics. 2013; 13(1): 76–76. DOI: https://doi.org/10.1186/1471-2318-13-76
Hasson H, Blomberg S, Dunér A. Fidelity and moderating factors in complex interventions: a case study of a continuum of care program for frail elderly people in health and social care. Implementation Science. 2012; 7(23): 1–11. DOI: https://doi.org/10.1186/1748-5908-7-23
Dunér A, Blomberg S, Hasson H. Implementing a continuum of care model for older people—results from a Swedish case study. International Journal of Integrated Care. 2011; 11(4): None. DOI: https://doi.org/10.5334/ijic.665
Johansson S. The chain is never stronger than its weakest link: implementing a model of collaboration among agencies serving vulnerable children and adolescents. Hong Kong Journal of Social Work. 2013; 6(3): 276–91. DOI: https://doi.org/10.1080/17525098.2013.840795
Crump H, King J, Graham C, Thorlby R, Raleigh V, Redding D, et al. Developing a user reported measure of care co-ordination. International Journal of Integrated Care. 2017; 17(1): 4. DOI: https://doi.org/10.5334/ijic.2469
World Medical Association Declaration of Helsinki. Ethical principles for medical research involving human subjects. [webpage on the internet]. [cited 2022 Februar 14]; updated 2018 July 9]. Available from: https://www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/. DOI: https://doi.org/10.1515/9783110208856.233
Lancaster G, Kolakovsky-Hayner S, Kovacich J, Williams NG. Interdisciplinary communication and collaboration among physicians, nurses, and unlicensed assistive personnel. Journal of Nursing Scholarship. 2015; 47(3): 275–84. DOI: https://doi.org/10.1111/jnu.12130
Aiken L, Sloane DM, Bruyneel L, van der Heede K, Griffiths P, Busse R, et al. Nurse staffing and education and hospital mortality in nine European countries: a retrospective observational study. Lancet. 2014; 383(9931): 1824–30. DOI: https://doi.org/10.1016/S0140-6736(13)62631-8
Liberati EG, Gorli M, Scaratti G. Invisible walls within multidisciplinary teams: disciplinary boundaries and their effects on integrated care. Social Science and Medicine. 2016; 150: 31–9. DOI: https://doi.org/10.1016/j.socscimed.2015.12.002
Petersen HV, Foged S, Nørholm V. “It is two worlds” cross-sectoral nurse collaboration related to care transitions: a qualitative study. Journal of Clinical Nursing. 2019; 28(9–10): 1999–2008. DOI: https://doi.org/10.1111/jocn.14805
Bångsbo A, Dunér A, Dahlin-Ivanoff S, Lidén E. Collaboration in discharge planning in relation to an implicit framework. Applied Nursing Research. 2017; 36: 57–62. DOI: https://doi.org/10.1016/j.apnr.2017.05.010
Martin GP, Finn R. Patients as team members: opportunities, challenges and paradoxes of including patients in multi-professional healthcare teams. Sociology of Health and Illness. 2011; 33(7): 1050–65. DOI: https://doi.org/10.1111/j.1467-9566.2011.01356.x
Xyrichis A, Ream E. Teamwork: a concept analysis. Journal of Advanced Nursing. 2008; 61(2): 232–41. DOI: https://doi.org/10.1111/j.1365-2648.2007.04496.x
Finn R, Learmonth M, Reedy P. Some unintended effects of teamwork in healthcare. Social Science and Medicine. 2010; 70(8): 1148–1154. DOI: https://doi.org/10.1016/j.socscimed.2009.12.025
King N, Bravington A, Brooks J, Melvin J, Wilde D. Go make your face known: collaborative working through the lens of personal relationships. International Journal of Integrated Care. 2017; 17(4): 3. DOI: https://doi.org/10.5334/ijic.2574
Looman W, Struckmann W, Köppen J, Baltaxe E, Czypionka T, Huic M, et al. Drivers of successful implementation of integrated care for multi-morbidity: mechanisms identified in 17 case studies from 8 European countries. Social Science and Medicine. 2021; 277(113728): None. DOI: https://doi.org/10.1016/j.socscimed.2021.113728