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Nyman SJ, Vogel ME, Heller GM, Hella JR, Illes RA, Kirkpatrick HA. Development and Evaluation of a Health Behavior Change Clinic in Primary Care: An Interdisciplinary Partnership. J Clin Psychol Med Settings 2023; 30:909-923. [PMID: 36869987 PMCID: PMC9985097 DOI: 10.1007/s10880-023-09945-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/31/2023] [Indexed: 03/05/2023]
Abstract
Providing effective healthy behavior change interventions within primary care presents numerous challenges. Obesity, tobacco use, and sedentary lifestyle negatively impact the health quality of numerous medical patients, particularly in underserved patient populations with limited resources. Primary Care Behavioral Health (PCBH) models, which incorporate a Behavioral Health Consultant (BHC), can offer point-of-contact psychological consultation, treatment, and also provide opportunities for interdisciplinary psychologist-physician clinical partnerships to pair a BHC's health behavior change expertise with the physician's medical care. Such models can also enhance medical training programs by providing resident physicians with live, case-based learning opportunities when partnered with a BHC to address patient health behaviors. We will describe the development, implementation, and preliminary outcomes of a PCBH psychologist-physician interdisciplinary health behavior change clinic within a Family Medicine residency program. Patient outcomes revealed significant reductions (p < .01) in weight, BMI, and tobacco use. Implications and future directions are discussed.
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Affiliation(s)
- Scott J. Nyman
- Department of Clinical Health Psychology, Ascension Genesys Hospital, Grand Blanc, MI USA
- Departments of Family Medicine and Psychiatry, Michigan State University College of Human Medicine, Lansing, MI USA
- Department of Psychology, Ascension Genesys Family Health Center, 1460 N. Center Rd, Burton, MI 48509 USA
| | - Mark E. Vogel
- Department of Clinical Health Psychology, Ascension Genesys Hospital, Grand Blanc, MI USA
- Departments of Family Medicine and Psychiatry, Michigan State University College of Human Medicine, Lansing, MI USA
| | - Grant M. Heller
- Spectrum Health Lakeland, Saint Joseph, MI USA
- Department of Psychiatry, Michigan State University College of Osteopathic Medicine, Lansing, MI USA
| | - Jennifer R. Hella
- Department of Research, Ascension Genesys Hospital, Grand Blanc, MI USA
| | - Rose A. Illes
- Florida State University Family Medicine Residency Program at Lee Health, Fort Myers, FL USA
| | - Heather A. Kirkpatrick
- Department of Clinical Health Psychology, Ascension Genesys Hospital, Grand Blanc, MI USA
- Departments of Family Medicine and Psychiatry, Michigan State University College of Human Medicine, Lansing, MI USA
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Kaloiya GS, Kaur T, Ranjan P, Chopra S, Sarkar S, Kumari A, Bhatia H. Counselling and Behaviour Modification Techniques for the Management of Obesity in Postpartum and Midlife Women: A Practical Guide for Clinicians. J Obstet Gynaecol India 2022; 72:134-140. [PMID: 35492859 PMCID: PMC9008080 DOI: 10.1007/s13224-022-01652-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 03/14/2022] [Indexed: 10/18/2022] Open
Abstract
Behaviour change is the basic foundation in the management of obesity. Such behaviour change is difficult to achieve due to several psychosocial and behavioural barriers that often remain unidentified and unaddressed in a weight management programme. This is even more challenging in postpartum and midlife women because of several biopsychosocial factors. The non-availability of psychologists or trained healthcare counsellors further complicates the attainment of behavioural changes. Therefore, clinicians, who are often the first point of contact for treating these population groups, are hamstrung by the lack of a multidisciplinary approach for weight reduction. Some of the common psychological, social and behavioural barriers have been identified in this article, and evidence-based techniques such as goal setting, stimulus control and cognitive restructuring are presented in a step-wise approach, to help clinicians cater to these population groups in a holistic manner.
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Mattison G, Canfell O, Forrester D, Dobbins C, Smith D, Töyräs J, Sullivan C. The influence of wearables on healthcare outcomes in chronic disease: a systematic review (Preprint). J Med Internet Res 2022; 24:e36690. [PMID: 35776492 PMCID: PMC9288104 DOI: 10.2196/36690] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 04/19/2022] [Accepted: 05/16/2022] [Indexed: 11/23/2022] Open
Abstract
Background Chronic diseases contribute to high rates of disability and mortality. Patient engagement in chronic disease self-management is an essential component of chronic disease models of health care. Wearables provide patient-centered health data in real time, which can help inform self-management decision-making. Despite the perceived benefits of wearables in improving chronic disease self-management, their influence on health care outcomes remains poorly understood. Objective This review aimed to examine the influence of wearables on health care outcomes in individuals with chronic diseases through a systematic review of the literature. Methods A narrative systematic review was conducted by searching 6 databases for randomized and observational studies published between January 1, 2016, and July 1, 2021, that included the use of a wearable intervention in a chronic disease group to assess its impact on a predefined outcome measure. These outcomes were defined as any influence on the patient or clinician experience, cost-effectiveness, or health care outcomes as a result of the wearable intervention. Data from the included studies were extracted based on 6 key themes, which formed the basis for a narrative qualitative synthesis. All outcomes were mapped against each component of the Quadruple Aim of health care. The guidelines of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement were followed in this study. Results A total of 30 articles were included; studies reported 2446 participants (mean age: range 10.1-74.4 years), and the influence of 14 types of wearables on 18 chronic diseases was presented. The most studied chronic diseases were type 2 diabetes (4/30, 13%), Parkinson disease (3/30, 10%), and chronic lower back pain (3/30, 10%). The results were mixed when assessing the impact on a predefined primary outcome, with 50% (15/30) of studies finding a positive influence on the studied outcome and 50% (15/30) demonstrating a nil effect. There was a positive effect of 3D virtual reality systems on chronic pain in 7% (2/30) of studies that evaluated 2 distinct chronic pain syndromes. Mixed results were observed in influencing exercise capacity; weight; and biomarkers of disease, such as hemoglobin A1c, in diabetes. In total, 155 outcomes were studied. Most (139/155, 89.7%) addressed the health care outcomes component. This included pain (11/155, 7.5%), quality of life (7/155, 4.8%), and physical function (5/155, 3.4%). Approximately 7.7% (12/155) of outcome measures represented the patient experience component, with 1.3% (2/155) addressing the clinician experience and cost. Conclusions Given their popularity and capability, wearables may play an integral role in chronic disease management. However, further research is required to generate a strong evidence base for safe and effective implementation. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42021244562; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=244562
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Affiliation(s)
- Graeme Mattison
- Queensland Digital Health Research Network, Global Change Institute, The University of Queensland, Brisbane, Australia
- Metro North Hospitals and Health Service, Brisbane, Australia
- Digital Health Cooperative Research Centre, Australian Government, Sydney, Australia
| | - Oliver Canfell
- Queensland Digital Health Research Network, Global Change Institute, The University of Queensland, Brisbane, Australia
- Digital Health Cooperative Research Centre, Australian Government, Sydney, Australia
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
- University of Queensland Business School, Faculty of Business, Economics and Law, The University of Queensland, Brisbane, Australia
| | - Doug Forrester
- Queensland Digital Health Research Network, Global Change Institute, The University of Queensland, Brisbane, Australia
- Metro North Hospitals and Health Service, Brisbane, Australia
| | - Chelsea Dobbins
- Queensland Digital Health Research Network, Global Change Institute, The University of Queensland, Brisbane, Australia
- School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
| | - Daniel Smith
- Metro North Hospitals and Health Service, Brisbane, Australia
| | - Juha Töyräs
- School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
- Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
- Science Service Center, Kuopio University Hospital, Kuopio, Finland
| | - Clair Sullivan
- Queensland Digital Health Research Network, Global Change Institute, The University of Queensland, Brisbane, Australia
- Metro North Hospitals and Health Service, Brisbane, Australia
- Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia
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Wu CC, Wang YZ, Hu HY, Wang XQ. Bibliometric Analysis of Research on the Comorbidity of Cancer and Pain. J Pain Res 2021; 14:213-228. [PMID: 33542652 PMCID: PMC7851761 DOI: 10.2147/jpr.s291741] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 12/23/2020] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Pain is the most common symptom in patients with neoplasm. It is a distressing experience that seriously destructs the quality-of-life of patients, with a high prevalence in clinical observations. However, only a few studies have applied bibliometric methods to analyze systematic works on the comorbidity of cancer and pain. PURPOSE The aim of this work was to conduct a systematic analysis of the scientific studies worldwide on the comorbidity of cancer and pain in 2010-2019. METHODS The Web of Science databases were searched for publications related to the comorbidity of cancer and pain from 2010 to 2019. RESULTS A total of 3,423 papers met the inclusion criteria in this research. The increase in the quantity of papers presented a significant growth from 2010 to 2019 (P<0.001) by linear regression analysis. The research subject categories of the 3,423 papers mainly concentrated on oncology (28.57%), clinical neurology (25.62%), and healthcare science services (15.89%). The US had the highest number of published papers, followed by the People's Republic of China, and England. According to scientific statistics, breast cancer (20.36%) was by far the most predominant topic in the papers related to the comorbidity of cancer and pain. CONCLUSION This bibliometric research provided a framework for visual and quantitative research to management scholars in favor of exploring a potential field related to hot issue and research frontiers.
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Affiliation(s)
- Cheng-Cheng Wu
- Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, 200438, People’s Republic of China
| | - Yi-Zu Wang
- Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, 200438, People’s Republic of China
| | - Hao-Yu Hu
- Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, 200438, People’s Republic of China
| | - Xue-Qiang Wang
- Department of Sport Rehabilitation, Shanghai University of Sport, Shanghai, 200438, People’s Republic of China
- Department of Rehabilitation Medicine, Shanghai Shangti Orthopaedic Hospital, Shanghai, 200438, People’s Republic of China
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