Interprofessional partnerships in chronic illness care: a conceptual model for measuring partnership effectiveness.

INTRODUCTION: Interprofessional health and social service partnerships (IHSSP) are internationally acknowledged as integral for comprehensive chronic illness care. However, the evidence-base for partnership effectiveness is lacking. This paper aims to clarify partnership measurement issues, conceptualize IHSSP at the front-line staff level, and identify tools valid for group process measurement. THEORY AND METHODS: A systematic literature review utilizing three interrelated searches was conducted. Thematic analysis techniques were supported by NVivo 7 software. Complexity theory was used to guide the analysis, ground the new conceptualization and validate the selected measures. Other properties of the measures were critiqued using established criteria.
RESULTS: There is a need for a convergent view of what constitutes a partnership and its measurement. The salient attributes of IHSSP and their interorganizational context were described and grounded within complexity theory. Two measures were selected and validated for measurement of proximal group outcomes.
CONCLUSION: This paper depicts a novel complexity theory-based conceptual model for IHSSP of front-line staff who provide chronic illness care. The conceptualization provides the underpinnings for a comprehensive evaluative framework for partnerships. Two partnership process measurement tools, the PSAT and TCI are valid for IHSSP process measurement with consideration of their strengths and limitations.

Introduction

Partnerships are increasingly used to enhance health service delivery in response to an explosion in chronic disease prevalence. Although partnerships will ultimately redefine how health services are configured and delivered, little is known about how these partnerships function and their impact on outcomes [1, 2]. This paper focuses on the conceptualization and measurement of interprofessional health and social service partnerships (IHSSP) at the front-line, service provider group level. In the literature, the terms partnership, collaboration, and teamwork are used interchangeably to “reflect the idea of individuals coming together for a mutually accepted goal or mission” [3]. However, in this paper, interprofessional is the term used to describe the process of multiple disciplines working together. Partnership is used to indicate the collaborative nature of the process. Health and social services are named to bring attention to an expanded view of health beyond the traditions of cure and care associated with these disciplines.

Background

The multiple and often complex needs of populations affected by the epidemic of chronic illnesses require approaches that include both health and social services, and extend beyond traditional acute episodic health care and the services of any single organization [4-9]. In response, healthcare policies in Canada, as in other Western countries, require services to be integrated, often through partnerships to meet increased demands [9-13]. Support for IHSSP is so strong in the UK that the National Health Service has legislation requiring mandatory health and social service partnerships to break down traditional disciplinary barriers to collaboration [14, 15]. The span of health and social service partnerships can include anything from the coordination of individual clinical care by front-line staff to the management of medical and social support services for specific populations through the creation of large health care organizations [16]. Goals common to all approaches are to provide the best quality, most appropriate and effective services, and reduce overlap, duplication and gaps in care [17, 18].

Research on coordination of individual care demonstrates that proactive and comprehensive care that includes health and social services improves health outcomes [19, 20]. The quantity, type and source of comprehensive care will vary according to the needs and resources of the client at particular points in time [19, 21]. For example, clients with chronic hepatitis C, a chronic infectious illness spread by blood-to-blood contact, present with multiple and changing needs associated with the disease and compounded by social, economic and psychological factors [22, 23]. Responses to these needs increase partnership linkages, through social services, to other human services representing the broad determinants of health such as welfare, employment, and wage replacement [24].

IHSSP history and function

Interprofessional partnerships in health care have a long history [25, 26], as both public and not-for-profit agencies have worked together to coordinate services, pool resources and achieve shared goals [27, 28]. The public health literature contains many descriptions of interprofessional partnerships and guidelines for formation [29, 30]. IHSSP are initiated through formal and/or informal relationships in and across organizations and based on a common value, a holistic person-centred approach to care [31]. Nurses, as core providers in the provision of chronic illness care, frequently coordinate IHSSP [32]. Communication can occur in-person or through a variety of means such as phone, fax, e-mail and internet portals. IHSSP function in ways that transcend organizational boundaries [33] resulting in the emergence of virtual interorganizational structures [34]. IHSSP are defined in this paper as virtual interorganizational structures formed around client needs through formal and/or informal relationships of front-line health and social service providers from various organizations who collaborate to provide comprehensive and integrated care and support services to those with chronic conditions.

Although partnerships are widely embraced, research on the factors that influence their collaborative processes and outcomes is not well established [1, 2] and evidence of effectiveness is lacking [35-37]. There is evidence that partnerships frequently fail [38], they are complex to administer, time consuming to establish, require investment of scarce resources and have a potential for loss of decision-making control [27, 39, 40]. Separate funding streams for health and social services can complicate cooperative service planning and delivery requiring creativity and innovation to create service linkages. The increased emphasis on health system performance improvement through partnerships and the concomitant need to demonstrate that partnerships are functioning efficiently led to the aim of this paper to review partnership measurement issues, develop an IHSSP conceptual model and identify measurement tool/s for its evaluation [41].

Methods and theory

A literature review was performed on articles retrieved through three interrelated searches outlined in Table 1. The literature was searched to find: 1) issues associated with the measurement of partnerships, 2) the salient attributes of IHSSP processes at the front-line staff level and the interrelated contextual factors of importance for measurement, and 3) tools to measure IHSSP functioning at the front-line service provider group level. It is important to note that the aim of search two did not include identification of literature for development of a predictive model with weighted criteria.

Table 1

Search strategies.

Timeframe	1990–2007
Key words and terms combined for Search 1:	‘Partnership’ and ‘interprofessional’ and ‘measurement’
Partnership measurement and Search 2:  Partnership characteristics	Search 2 dropped measurement term. Synonyms and variations of keywords were employed in the first 2 searches to expand and refine the search scope. Synonyms included: ‘patient care team’, ‘collaboration’, ‘interdisciplinary’, ‘multidisciplinary’, ‘delivery of health care’ and ‘evaluation’
Search 3: Partnership measurement tools	‘Partnership’ or ‘teamwork’ or ‘patient care team’, and ‘scales’, ‘tools’ and ‘questionnaires’.
Restrictions	English language, peer reviewed systematic reviews, primary research, conceptual articles, government research reports and books
Databases searched	Cochrane Database of Systematic Reviews, Clinical Evidence, MEDLINE, CINAHL, EMBASE, PsychINFO, and Health and Psychosocial Instruments, Google, Google Scholar
Hierarchy of evidence	In ascending order systematic review articles (e.g. syntheses of research, concept analysis) single studies, articles and books
Types of literature	Nursing, medicine, social sciences and psychology (including selected references from organizational development)
Other documents added to the literature review	Seminal works added as required to complete writers' understanding of the concepts. Reference sections were hand searched to ensure completeness

The search method was iterative starting with broad searches of online databases and the authors' personal libraries, selecting relevant articles, identifying the articles' main Mesh Headings, and repeating the electronic search using refined terms and, for selected articles, using the online ‘find similar’ reference feature. Hand searching reference sections of selected articles and electronic searches of leading authors were also conducted.

The thematic analysis [42] was guided by complexity theory, a contemporary form of systems theory. For example, complexity theory was used to guide the selection of attributes to be measured, cluster the attributes into themes and conceptualize the pattern of interrelationships within the context of an IHSSP as a complex adaptive system [43].

The literature obtained from search one was analyzed to identify the issues and gaps of partnership measurement. The literature from search two was analyzed to identify the salient attributes of IHSSP processes at the front-line staff level and the interrelated contextual components of the conceptual framework. Salient attributes were defined as the recurrent characteristics of the concept of IHSSP found within systematic reviews and concept analysis [44]. All articles were read several times by the principal investigator (GB) to identify and code the themes. Qualitative analysis software, NVivo 7, was used to facilitate interrogation, refine the coding structure and organize the thematic relationships. The process was repeated by a trained research assistant to ensure that consensus was achieved.

Tools to measure partnership functioning identified in search three were required to meet all of the following criteria to be considered for full review: a) the purpose of the instrument is to assess partnership processes at the level of the group, b) the tool has good theoretical concordance with our conceptualization i.e. the salient attributes and theory base, c) there is at least one published reliability and validity assessment, d) the instrument is suitable for self-report and, e) is currently available for use. The criteria were applied in ascending order and tools were rejected at the first failed criteria point. This process was necessary to ensure that the most robust and well-developed tools would be located and evaluated [45] and would fit with the chosen theoretical framework of complexity theory.

Review of the selected instruments, guided by criteria identified by Streiner and Norman [45], included a description of the tool, the history of development, theoretical relevance, ease of use, reliability, and validity. Reliability included appraisal of test-retest and internal consistency and sensitivity. Assessments of validity included a review of face, content, construct, predictive, criterion, and discriminant validity.

Results

The papers retrieved were from Canada, USA, UK, Europe and Australia.

Issues associated with the measurement of IHSSP

IHSSP measurement is complicated by the fact that there is no standard interpretation of the concept of partnerships [46]. Other challenges involve variations in form, content and change over time. Partnerships occur in numerous forms, vary in depth of involvement, number and diversity of members (including diverse views and agendas), and are established through a process of negotiation [41]. Even if the members remain constant their relationships can change over time [47]. Comparing the findings from partnership research is problematic due to the conceptual variation, the variety of research methods used and the tendency of disciplines to work within their respective research paradigms and theoretical perspectives with little crossover or mutual recognition (evidenced through lack of cross-discipline citations) [46, 48–50]. Additionally, different stakeholders may attach different weights to success criteria [51-53]. The diverse views associated with partnerships and their measurement has added breadth to the field but a consensus view of partnerships has not yet emerged.

There is an abundance of support for partnerships and rhetoric on their advantages in the literature but the evidence-base is lacking [35-37]. Partnerships have been evaluated in a few studies that measured outcomes in client or population health and the quality of the group's collaborative process but the results are inconclusive [54-56]. Aside from methodological deficiencies, an explanation for the lack of positive clinical outcomes is that these outcomes may take years to realize and would fall outside most study timeframes [33]. Partnership process outcomes, on the other hand, occur earlier and can be measured at different time points. However, the literature on front-line staff collaborative processes focuses on relationships with clients largely ignoring relationships with colleagues [57]. The research on healthcare teams has focused on single elements that have been studied individually within the context of formal meetings [58]. Collaboration that occurs outside meetings is unstudied.

In this paper the assumption is made that collaborative processes may not be sufficient to improve health outcomes, but that quality interprofessional collaborative processes are necessary precursors to improved services and outcomes for individuals and populations with chronic conditions. Thus, the measurement of interprofessional collaborative processes is a necessary step in understanding whether quality processes contribute to better health outcomes.

Theoretical implications of complexity theory to IHSSP functions

IHSSP are complex adaptive systems as conceptualized through complexity theory [59]. As such, IHSSP were considered as self-organizing interorganizational systems that experience change within the group and are influenced, but not controlled by factors external to the group. For example, as nursing and other providers self-organize in response to the needs of those with chronic illness, IHSSP are created through increases in connectivity (number of partners), diversity (type of partners) and interactions (frequency of interactions). The increase in information flow and feedback loops precipitate mutual adjustment of, for example, behaviours, beliefs, or plans in response to changing demands. Mutual adjustment occurs through learning that allows for creativity, reflection and evaluation. Mutual adjustment is a type of change process in which the outcomes are unpredictable and small changes can have large effects by changing the context for others in the partnership [60]. The culmination of change through mutual adjustment is termed ‘adaptation’ otherwise referred to as emergence, innovation and synergy [61, 62]. Thus, the complexity of chronic illness management requires that IHSSP be responsive to unpredictable changes in clients' chronic condition/problems [63]. Adapting plans and practices to changing conditions requires responsive and flexible partnership processes in order to produce the desired outcomes and impact [64, 65].

Identification of salient attributes and conceptualization of IHSSP

The analysis began with review papers in accordance with the hierarchy of evidence in Table 1. The papers from which the salient attributes of IHSSP were primarily selected were reviews of empirical studies of the determinants of interprofessional collaboration [66-68], a review of theory and research on interagency collaboration in the public sector [69], and concept analyses of health care partnerships [70-72].

The attributes of IHSSP to be measured that were selected from the data are itemized in Table 2 within four thematic areas; 1) agreement of the need to partner, which was the most frequently recurring theme in the literature, 2) collegial relationships, a theme which contains items related to interprofessional communication, 3) interdependency, a theme that is stressed in the literature as central to group functioning, and 4) a final cluster, entitled power and leadership, which represents attributes consistent with shared power and leadership through influence.

Table 2

Salient attributes, moderators, and outcomes of Interprofessional Health and Social Service Partnerships (IHSSP).

IHSSP feature	Theme	Description or sub-themes
I. Salient attributes	1. Agreement	Recognize and accept the need for partnership
	2. Collegial relationships	a. Reciprocity – mutually beneficial, mutual support, encouragement and feedback
		b. Communication – transparent, open, and honest, understanding of how discipline's work contributes to goals and able to communicate that contribution to others, constructive negotiation of goals, plans, and boundaries, compromise, active listening, face-to-face or virtual
		c. Mutual trust – trust depends on skills, knowledge and experience and confidence in one's professional role, confidence in each other
		d. Respect – aware of and values the contributions and perspectives of others
		e. Equal status
		f. Conflict management
	3. Interdependency – between two or more professionals	a. Sharing – goals, philosophy, values, advocacy, accountability, knowledge (professional, community resources), responsibility, planning and intervention
		b. Willingness to cooperate rather than compete, enthusiasm
		c. Voluntary – sharing time, resources, energy
		d. Permeable boundaries – recognize areas of interdependence and respect areas of independence, flexibility
		e. Presence of synergy
	4. Power and leadership – through influence	a. Shared within the group
		b. Based on knowledge and experience
		c. Consensual and egalitarian decision-making
II. Moderating factors-organizational	1. Structure	a. Hierarchical emphasis on power and control
		b. Horizontal or decentralized emphasis on flexible structures and teamwork
		c. Community vs. hospital setting
	2. Philosophy and culture	Values participation and interdependence vs. dominance
	3. Administrative support	Rules and procedures for collaboration
	4. Resources	Funding mechanisms, human resource sharing, diverse and competing commitments
	5. Coordination and communication mechanisms
	6. Sustainability	Conflicts with organizational self-interests, domain, autonomy
	7. Clinical guidelines
II. Moderating factors – systemic	1. Social, professional, culture, educational and resources	a. Socialization – hierarchies i.e. power differences between professions, gender stereotypes, differences in social status
		b. Professional – jurisdictional, regulatory and medico-legal factors (individual vs. collective accountability), values and ideologies, job security, terminology
		c. Cultural – individualism, autonomy, territoriality, specialization, control
		d. Educational – limited knowledge, understanding and valuing of the roles of other disciplines,
		e. Financial resources – professional compensation mechanisms (collective agreements, fee-for-service, organization bound vs. individual), institutional and intersectoral funding
III. Outcomes	1. Partnership functioning
	2. System capacity
	3. Individual and population health outcomes

The attributes selected are congruent with complexity theory, i.e. attributes which contribute to self-organization, connectivity, diversity and interactions. Agreement of the need to partner is a necessary, if not sufficient, requirement for self-organization. It affects the number and diversity of partners and the frequency of their interactions. Collegial relationships impact the information flow of a system, affecting the level of mutual adjustment and resulting interdependency. Attributes of leadership and power are characteristic of a self-organizing system as they emphasize a shared process that occurs through influence rather than a position of power and control.

Figure 1 displays our conceptualization of the attributes of interprofessional collaborative processes to be measured situated within the interorganizational system that contains external influences or moderating factors and outcomes. The processes within and between the components of the system are dynamic but displayed as linear for the purposes of heuristic simplicity. The external factors that influence IHSSP member's participation found in the literature are termed ‘organizational’ and ‘systemic’ factors, detailed in Table 2 and displayed in Figure 1. Organizational and systemic influences are conceptualized as moderating or influencing factors as they can act as both barriers as well as enhancing factors [73]. Finally, outcomes of interprofessional processes complete the conceptual model in Figure 1 and are presented under the categories of Partnership Functioning, System Capacity and Individual/Population Health Outcomes. These outcomes are interrelated and assumed to be time dependent with quality partnership processes leading initially to beneficial outcomes for the partnership. Feedback loops within the system could result in changes in the moderating factors such as benefits to the partner's parent organization or changes in wait time policies. Outcomes related to moderating factors are termed ‘system capacity’ in Figure 1.

Figure 1

Conceptual model showing the salient attributes of IHSSP within the interorganizational system.

The final category, Individual and Population Health Outcomes, includes partnership outcomes such as client satisfaction, improved health and quality of life, and reduced incidence of disease.

Selection and evaluation of measurement tools

A total of 171 instruments were screened for review, of which, 168 were rejected because they did not have an explicit theory base from which to determine concordance with the conceptual model as required by the second inclusion criteria. Of the remaining three instruments, one instrument—the Task Force Member survey—was grounded in theory but rejected as we were unable to obtain the instrument or a history of its development and testing [74]. Thus, only two instruments met our stringent selection criteria, the Partnership Self-Assessment Tool (PSAT) [75], and the Team Climate Inventory (TCI) [76].

The Partnership Self-Assessment Tool (PSAT), was developed by public health specialists for practical use by groups working to promote health and well-being in their communities [2]. It measures partnership synergy and other related dimensions of the partnership process [77]. This self-administered tool, takes 20 minutes to complete, contains 11 domains, and 67 clearly written and easily understood items. Seventeen items employ a dicotomous yes/no scale and 50 use a 5-point Likert scale. The originators caution that the PSAT is not intended for use by external evaluators to avoid the social desireability bias inherent when evaluations are perceived to be tied to funding decisions.

The Team Climate Inventory (TCI), a self-administered measure of team innovativeness was rigorously developed by organizational psychologists Neil Anderson and Michael West [78].

It was developed for research and practical use to evaluate team functioning at the level of the group [78].

The TCI has three versions, with 61, 38 or 14 clearly written and easily understood items that are scored on 5 to 7-point Likert scales [76]. The 38-item scale which contains an additional six items inserted to measure social desirability bias [79] is referred to in this paper as a 38-item scale. It is the most frequently reported version, is available for purchase (starter kit $495 USD, group norms and scoring software provided), and requires only 15 minutes to complete. The level of analysis is the group (permanent or semi-permanent) within an organization.

The items in both the PSAT and TCI exhibit concordance with the salient attributes of IHSSP as illustrated in Table 3. The TCI does not have an item match in theme 1, Agreement (agreement to participate is a basic assumption of their theory), while the PSAT had items matches in all themes. Item matching of the TCI with the PSAT, shown in Table 4 reveals that the TCI matches are mainly related to group synergy which is in accordance with the stated purpose of the tool.

Table 3

Concordance of the Partnership Self-Assessment Tool (PSAT) and the Team Climate Inventory (TCI) with the identified attributes of IHSSP.

Conceptual model	PSAT item #	TCI item #
Salient attributes
1. Agreement	53
2. Collegial relationships	14, 15, 16, 17, 24, 32, 59, 60, 62, 63	12, 15, 16, 17, 18, 19, 20, 21, 22, 23, 26
3. Interdependency	1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 18, 19, 22, 23, 25, 26, 28, 31, 49, 63, 65, 66, 67	1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 24, 25, 27, 28, 29, 30, 31, 33, 34, 35, 36, 37, 38
4. Power and leadership through influence	10, 12, 42, 43, 44, 57, 64	13, 14
Moderating factors	21, 33–41, 56, 58, 61
Outcomes	20, 27, 45–48, 50–52, 54–55	32

Table 4

Team Climate Inventory (TCI) item matched with Partnership Self-Assessment Tool (PSAT) items.

PSAT items (n=67)	TCI items (n=38)
Synergy
Items 1–9 (9 items)	Items 1–5, 7–11, 24, 27–31, 36 (17 items)
Leadership
Items 10–20 (11 items)	Items 12–13, 16–17, 25–26 (6 items)
Efficiency
Items 21–23 (3 items)	No matches
Administration and management
Items 24–32 (9 items)	Items 15, 18, 20–22, 33–35, 37–38 (10 items)
Non-financial resources
Items 33–38 (6 items)	No matches
Financial and other capital resources
Items 39–41 (3 items)	No matches
Decision making
Items 42–44 (3 items)	Item 14 (1 item)
Benefits of participation
Items 45–55 (11 items)	Item 32 (1 item)
Drawbacks of participation
Items 56–62 (7 items)	No matches
Satisfaction with participation
Items 63–67 (5 items)	Items 6, 19, 23 (3 items)

Both measures have well-described theoretical frameworks that are consistent with complexity theory as both take a complex adaptive systems perspective toward group process. The PSAT is based on partnership synergy theory [2, 62]. Synergy is defined as “the breakthroughs in thinking and action that are produced when a collaborative process successfully combines the complementary knowledge, skills and resources of a group of participants” [80]. Attributes of improved thinking include creativity, invention, challenging the status quo and innnovative problem-solving [81, 82]. The theory considers synergy a proximal outcome of good quality partnership processes [62].

The concept of synergy, as used in the PSAT, is a surrogate for the concept of adaptation in complexity theory. Both concepts are assumed to represent the ultimate proximal outcome of successful partnership processes. Additionally, successful processes require the ability of partners to interact effectively in order to understand and address complex problems and sustain interventions. Success is related to who is involved (number and diversity of members) and how they are involved which includes fluent and frequent interactions and shared leadership (a bottom up, self-organized approach to problem-solving).

The TCI is based on the four-factor theory of climate for innovation [83], a well-studied model of team innovation [79]. This theory assumes teams are the principal means in which a climate of sharing grows, through active social construction, and becomes embedded within the organization [84, 85]. Three criteria determine a team: 1) work interactions occur at least infrequently, 2) a common goal or outcome serves as the impetuous for collective action, and 3) interdependent tasks require the group members to develop a shared understanding and expected patterns of response [85]. Climate for innovation is defined as, “the manner of working together that the team has evolved” [78]. Innovation is defined as “ the intentional introduction and application within a role, group or organization of ideas, processes, products or procedures, new to the relevant unit of adoption, designed to specifically benefit role performance, the group, the organization or the wider society” [86]. Creativity is considered to be part of the innovation process [87].

Innovation, as described in the four-factor theory, is synonymous with the concept of adaptation within complexity theory i.e. the introduction and application of new ideas or processes that benefit the group, organization or society. Climate is presented as a collective level phenomena requiring self-organization, connectivity and feedback loops as precursors to innovation. For example, task interdependence leads to shared understandings and expected levels of behaviour. Interactions are participatory and new ideas are encouraged in congruence with a bottom up approach. A common goal or attainable outcome (agreement of the need to collaborate, an assumption in their model) unites individuals to collective action (feedback loops).

Both the PSAT and TCI have reported measures of reliability and validity which are summarized in Table 5. The PSAT is in the early stages of testing with the data confined to the originators [2] and one mention of criterion validity by Browne [88]. Establishment of face and content validity during development of the PSAT items was rigorous. It included data from qualitative interviews with members of community health promotion partnerships, an extensive review of relevant literature and measures, as well as input from a panel of experts [2]. Items were constructed at the group level and pretested in 2 series (n=11×2) of cognitive (think-aloud) interviews to be sure the items were relevant, clear and consistently interpreted, reduce the likelihood of measurement error, improve content validity and minimize the burden on participants [45, 89].

Table 5

Comparison of Partnership Self-Assessment Tool (PSAT) and Team Climate Inventory (TCI) reliability and validity.

Dimensions	Criterion	PSAT	TCI
Background	History since	2002	1994
	# Items	67	38
	Purpose	Practical use and self-evaluation by groups	Research and practical use
	Target group	Generic community-based health partnerships	Generic organization-based professional teams
Reliability	Measures of stability of instrument
• Test-retest	Ability to produce the same results on short-term repeated measures – uo to 6 weeks	No data	No data
• Internal consistency	Tests for internal consistency should indicate items are moderately correlated with each other (α-coefficients between 0.20 and 0.80) and well-correlated with the total score (α-coefficients between 0.70 and 0.90) [90, 91]	1 study, items within each factor are highly-correlated, α-coefficients between 0.83–97 [2]	Three studies, consistently yield results within advised ranges [76, 92, 93]
• Sensitivity	Ability of instrument to measure change on repeated measures e.g. before and after an intervention	No data	1 study – did not show change [93]
Validity	Degree to which tool items measure concept
• Face and content	Literature review, interviews and expert review determine items appear to measure all the important components of the concept	Rigorously established [2]	Rigorously established [78]
• Construct	Tests to determine the relationship between multiple variables i.e. exploratory and confirmatory factor analysis	1 study of exploratory factor analysis with positive results [2]	Three studies reporting positive results of exploratory and confirmatory factor analysis [76, 94, 95]
• Predictive	Degree to which the test scores are predictive of a desired criterion	No data	Demonstrated in three studies [92, 96, 97]
• Criterion	Scores on the tool are compared to results of external evaluators or other related tools	2 studies: 1 compared to tools with more and less relatedness, results confirmed hypothesized relationship [2, 88]	Five studies compared TCI scores to external evaluators, results positively correlated [79, 92, 96, 98, 99]
• Discriminant validity	Extent to which tools can distinguish between different types of groups	Demonstrated in 1 study [2]	Demonstrated in two studies [100, 101]

The PSAT was tested in 63 health-related partnerships in operation at least 18 months in urban, suburban or rural areas in the US [2]. Reliability testing of internal consistency of the scales with the total score as measured by Cronbach's α (0.82–0.97) was good. Construct validity through factor analysis of the nine items on the synergy scale (0.742–0.893) indicated good internal construct validity. Between group discriminant validity evaluated by one-way analysis of variance tests indicated that the PSAT adequately discriminates between groups as results of within group variation were significantly (p≤0.01) less than the between group variations. Criterion validity demonstrated through comparison of the PSAT with two more and less related measures evidenced that the PSAT measures different but related constructs. The closely related measure showed a moderate correlation of 0.71 (p<0.01). Exploratory factor analysis of the items in each tool revealed each had a major and distinct factor, synergy for the PSAT and collaborative group performance for the comparator [2]. The PSAT had a low correlation (r=0.13–0.36) with the less related measure of partnership structure [88].

The TCI has performed well on reliability and validity testing in several countries and organizational cultural contexts including community-based health and social services settings. Face and content validity was established through a rigorous process of initial scale development [78]. For example, items were selected from the literature and other published measures of climate only if they were relevant to the four-factor theory and occurred at the group level.

Reliability tests of internal consistency have consistently been within recommended ranges. The items are moderately correlated with each other (α-coefficient 0.35–0.62) [76]. Internal consistency of tool scores are consistent across countries e.g. α-coefficient of 0.84–0.94 in the UK [76], 0.86–0.91 in Sweden [92] and an α-coefficient of 0.84–0.90 in Canada [93]. Only one study has reported on the TCI's ability to measure change (sensitivity) [93]. Measures taken 9 weeks apart on both the 38-item and 14-item TCI showed high positive correlations between the scores on the scales at both administrations (α 0.61–0.87). However, it was predicted that a sensitive measure would show a change as the teams were given training to increase team work at the beginning of the project. It is possible that change occurred but the TCI was not sensitive or the study timeframe was too short for significant change to occur within the newly formed teams.

Criterion validity tested through comparison with the Team Production Questionnaire showed a positive correlation of 0.14–0.51 but the power of the sample (n=16 teams) was small and not all correlations were statistically significant, indicating that the TCI may be measuring similar as well as different constructs [92]. However, several studies have compared external evaluations of the amount of innovativeness of the teams with the TCI scores and found good concordance evidencing criterion validity [79, 92, 96, 98, 99].

Construct validity of the 61 and 38-item versions of the TCI tested through exploratory and confirmatory factor analysis by several researchers has produced mixed results on whether the TCI contains four or five factors. Exploratory factor analysis on the longer version in the UK indicated there are five interrelated factors [76]. Confirmatory factor analysis completed in the UK on the 38-item version of the TCI was equivocal for the four- and five-factor model [76]. The authors chose the five factor version to maximize the predictive utility. Ragazzoni et al. [95] confirmed five factors in the 38-item Italian version. Testing by Kivimäki, et al. [94] on a Finnish sample of 2,265 local government employees indicated that the five-factor version performed better than the four-factor version in work groups with high job complexity while the four-factor version was adequate for those with low job complexity. The findings indicate that the five-factor scale is the most relevant for IHSSP due to the complexity of their work.

Between-group discriminant validity is adequate. Williams and Laungani [101] demonstrated the TCI distinguished primary health care teams from three other types of health care teams and Bain, Mann and Pirola-Merlo [100] showed the TCI discriminated between research and development teams (n=38).

Several studies have shown the TCI is predictive of team innovation [92, 96, 97]. For example, Anderson and West [96] found that the factor, support for innovation, predicts overall innovation (accounting for 46% of the variance) and innovative novelty. The factor, participative safety, best predicts the number of innovations and team self-reports of innovativeness while task orientation predicts administrative effectiveness.

Summary of the PSAT and TCI evaluation

The PSAT and TCI theoretical frameworks were compatible with the underpinnings of our conceptual model. The PSAT items demonstrated a better fit with the entire model while the TCI items exhibited a fit specifically with the salient attributes. Both tools have rigorously demonstrated face and content validity. The PSAT is relatively new and has had minimal reliability and validity testing. The TCI is a mature tool that has performed well on a diverse array of tests, in many cultures and contexts. Both measures are appropriate for health and social services groups. Neither measure has demonstrated utility as a longitudinal measure of change. Both could be used for IHSSP measurement research.

Discussion

This paper reviewed a broad and diverse literature that highlighted the issues relevant to the measurement of IHSSP of front-line staff within an interorganizational context. IHSSP were presented as necessary for the delivery of services to individuals and populations with chronic conditions in order to meet changing client needs. A new conceptual model was presented that assumes interrelatedness between the salient attributes of group process, the external factors that influence group process and outcomes. The conceptual model contains both a theoretical perspective and the partnership context as necessary elements [102]. This model addresses limitations pointed out by Allen and Hecht [103] in their review of the effectiveness of organizational teams “the organizational context in which teams operate is rarely considered even though context is quite likely to influence team success”. (p.452)

The complexity theory-bound conceptual model may be useful for IHSSP that go beyond the front-line staff level as reviews of empirical research in the UK suggest that health and social care partnership have common principles regardless of the organizational level [41]. Refinement and testing of the model from multiple perspectives would improve the theoretical formulation and could lead to a mid-range theory to ground research and clinical practice.

Although IHSSP constitute virtual interorganizational structures formed in response to client needs, measurement in this paper was limited to proximal outcomes of IHSSP processes. Measurement of partnerships should include assessment of structural features as well as the processes [104]. Since the measurement of partnership structure was beyond the scope of this paper readers are referred to the seminal works of Milward and Provan [105], Provan and Milward [56], and Provan, Milward and Isett [106] on measurement of partnership networks and that of Browne and colleagues [88] who developed and tested a detailed tool to identify, describe and evaluate the structural elements of partnerships.

The evaluation of two tools, the PSAT and TCI, provided evidence of their validity for IHSSP process measurement. While both tools have a good theoretical fit with the model and the salient attributes of IHSSP only the PSAT included measurement of contextual influences. The TCI would require supplementation with qualitative research to uncover effects of contextual influences. The evaluation also included consideration of the instruments' psychometric properties. There was ample evidence that the TCI has strong psychometric properties while knowledge of the PSAT's performance is limited. Research using the PSAT would require consideration of inclusion of psychometric testing. However, the best tool is one that matches the partnership model, the community context, needs and goals of the partnership members and other stakeholders and the goals of the researcher [102]. In consideration of the above, we chose to trial the PSAT for practical use and research with four IHSSP comprised of members from several agencies dedicated to providing care to those with chronic hepatitis C in small urban environments.

Conclusion

The new theory-based conceptualization of IHSSP of front-line staff who provide chronic illness care provides the underpinnings for a comprehensive evaluative framework for partnerships. Two partnership process measurement tools, the PSAT and TCI are valid for IHSSP measurement research with consideration of their strengths and limitations. Future research is required to test and refine the conceptual model and to develop a comprehensive evaluative framework for IHSSP.