| Literature DB >> 28160771 |
Susan R Kirsh1,2, David C Aron3,4,5, Kimberly D Johnson1,6, Laura E Santurri1,2, Lauren D Stevenson1, Katherine R Jones7, Justin Jagosh8.
Abstract
BACKGROUND: Shared medical appointments (SMAs) are doctor-patient visits in which groups of patients are seen by one or more health care providers in a concurrent session. There is a growing interest in understanding the potential benefits of SMAs in various contexts to improve clinical outcomes and reduce healthcare costs. This study builds upon the existing evidence base that suggests SMAs are indeed effective. In this study, we explored how they are effective in terms of the underlying mechanisms of action and under what circumstances.Entities:
Keywords: Group medical visits; Realist review; Shared medical appointments
Mesh:
Year: 2017 PMID: 28160771 PMCID: PMC5291948 DOI: 10.1186/s12913-017-2064-z
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Fig. 1Literature Search Scheme
Fig. 2Final Conceptual Model. Dotted lines surround the three major components of the CMO Configuration: Context (Internal and External), Mechanism, and Outcome
Articles Retained for Realist Synthesis
| A. | Due-Christensen et al. [ |
| B | Culhane-Pera et al. [ |
| C | Clancy et al. [ |
| D | Sadur et al. [ |
| E | Trento et al. [ |
| F | Taveira et al. [ |
| G | Kirsh et al. [ |
| H | De Vries et. al. [ |
| I | Harris, M. [ |
| J | Miller et al. [ |
| K | Meehan et al. [ |
| L | Kawasaki L et al. [ |
| M | Shojania K, Ratzlaff M. [ |
| N | Bray P et al. [ |
| O | Geller JS et al. [ |
| P | Naik AD et al. [ |
| Q | Lavoie JG et al. [ |
| R | Cohen S et al. [ |
| S | Esden JL, Nichols MR. [ |
| T | Vachon GC et al. [ |
Summary of CMO configurations
| CMOc Subsection | Context + Mechanism = Outcome | ||
|---|---|---|---|
| 1. Combats Isolation | Isolation | Social contact (resource) → Correcting misperceptions(response) | Likely improved in self-efficacy |
| 2. Vicarious Learning | Isolation | Exposure to others’ illness (resource) → gaining perspective on one’s illness situation (response) | Likely improved self-efficacy |
| 3. Feeling inspired by successful peers | Low/high motivation for self-management behavior | Exposure to others’ successes (resource) → trying to emulate success (response) | Likely improved self-efficacy |
| 4. Friendships develop between patients and providers | SMAs are more relaxed than one-on-one clinical encounters | New patient-provider friendships developed (resource) → fostering trust amongst all parties (response) | Likely improved motivations and self-efficacy |
| 5. Improved collegiality amongst providers | Providers typically work in isolation | Team members are able to witness and interact (resource) → leading to mutual appreciation of respective roles and bonding (response) | Likely improved service delivery and work satisfaction |
| 6. Provider learning | Providers unaware of patient needs | Group setting encouraged creative thinking about meeting people’s needs | Likely improved service delivery |
| 7. Adequate time allotment | SMAs are longer sessions than one-on-one clinical visits | Allows patients and providers to get to know each other, relax (resource) → leads to a sense of comfort for the patient (response) | Likely improved self-management |
| 8. First-hand health knowledge | Isolation | Group visit allows patients to share, confirm/dispute information (resource) → leads to patients feeling reassured about health knowledge provided (response) | Likely improved application of information given |
| 9. Increased trust in physician | Mistrust of physicians a common experience in healthcare | SMA creates more even power dynamics between patient and provider (resource) → leads to patient feeling increased trust in physician (response) | Improved doctor-patient relationship and likely improved self-efficacy |
[85] Merton RK. Social Theory and Social Structure. New York: Simon and Schuster, 1968
[86] Lawson T. Economics and Reality. London: Routledge, 1997
Glossary of Terms
| Realism: The philosophy of realism brings attention to the limits of both logical empiricism which obfuscates the active theorizing of unobservable agents of causation (e.g., as demonstrated through the logic of randomized controlled trials) and constructivism which negates the belief of universal laws in favor of comparing storylines and paradigms. Realist modes of research reflect a mix of these two approaches by posing the kinds of questions that seek out the truth of matters, while at the same time operating from a view of the context bound and contingent nature of human knowledge. |
| Realist Review (RR): is a theory-driven approach to synthesizing quantitative, qualitative or mixed methods research, from a perspective based in Realism. It answers questions of the general format ‘what worked, for whom and in what circumstances, how and why?’ The basis of a realist causal explanation is Context + Mechanism = Outcome (Otherwise referred to as the CMO configuration) |
| Middle-range theory (MRT): Middle-range theory is an implicit or explicit theory that can used to explain the cause of outcomes for programs and interventions or parts thereof. “Middle- range” means that the theory can be tested with the observable data and is not abstract to the point of addressing larger social or cultural forces (i.e., grand theories) [ |
| Context-mechanism-outcome (CMO) configurations: CMO configuring is a heuristic used to generate causative explanations pertaining to outcomes in the observed data. The process draws out and reflects on the relationship of context, mechanism, and outcome of interest in a particular program. A CMO configuration may pertain either to the whole program or only to certain aspects. |
| Context: Context often pertains to the “backdrop” of programs and research. As conditions change over time, the context may reflect aspects of those changes while the program is implemented. Examples of context include cultural norms and history of the community in which a program is implemented, the nature and scope of existing social networks, or built program infrastructure. They can also be trust-building processes, geographic location (e.g., rural or urban), types of funding sources, and other opportunities or constraints. |
| Mechanism: A mechanism is the generative force that leads to outcomes. It typically denotes the reasoning (cognitive or emotional) of the various actors in relation to the work, challenges, and successes of the partnership. Mechanisms are linked to, but not synonymous with, the program’s strategies (e.g., a strategy may be an intended plan of action, whereas a mechanism involves the participants’ reaction or response to the intentional offer of incentives or resources). Identifying the mechanisms advances the synthesis beyond describing “what happened” to theorizing “why it happened, for whom, and under what circumstances.” |
| Outcomes: Outcomes are either intended or unintended and can be proximal, intermediate, or final. Examples of intervention outcomes are improved health status, increased use or quality of health services, or enhanced research results. |
| Demi-regularity: Demi-regularity means semi-predictable patterns or pathways of program functioning. The term was coined by Lawson, who argued that human choice or agency manifests in a semi-predictable manner—“semi” because variations in patterns of behavior can be attributed partly to contextual differences from one setting to another [ |