1
|
Bloem S, Stalpers J, Groenland EAG, van Montfort K, van Raaij WF, de Rooij K. Segmentation of health-care consumers: psychological determinants of subjective health and other person-related variables. BMC Health Serv Res 2020; 20:726. [PMID: 32771005 PMCID: PMC7414542 DOI: 10.1186/s12913-020-05560-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 07/20/2020] [Indexed: 11/10/2022] Open
Abstract
Background There is an observable, growing trend toward tailoring support programs – in addition to medical treatment – more closely to individuals to help improve patients’ health status. The segmentation model developed by Bloem & Stalpers [Nyenrode Research Papers Series 12:1–22, 2012] may serve as a solid basis for such an approach. The model is focused on individuals’ ‘health experience’ and is therefore a ‘cross-disease’ model. The model is based on the main psychological determinants of subjective health: acceptance and perceived control. The model identifies four segments of health-care consumers, based on high or low values on these determinants. The goal of the present study is twofold: the identification of criteria for differentiating between segments, and profiling of the segments in terms of socio-demographic and socio-economic variables. Methods The data (acceptance, perceived control, socio-economic, and socio-demographic variables) for this study were obtained by using an online survey (a questionnaire design), that was given (random sample N = 2500) to a large panel of Dutch citizens. The final sample consisted of 2465 participants – age distribution and education level distribution in the sample were similar to those in the Dutch population; there was an overrepresentation of females. To analyze the data factor analyses, reliability tests, descriptive statistics and t-tests were used. Results Cut-off scores, criteria to differentiate between the segments, were defined as the medians of the distributions of control and acceptance. Based on the outcomes, unique profiles have been formed for the four segments: 1. ‘Importance of self-management’ – relatively young, high social class, support programs: high-quality information. 2. ‘Importance of personal control’ – relatively old, living in rural areas, high in homeownership; supportive programs: developing personal control skills. 3. ‘Importance of acceptance’ – relatively young male; supportive programs: help by physicians and nurses. 4. ‘Importance of perspective and direction’ – female, low social class, receiving informal care; support programs: counseling and personal care. Conclusions The profiles describe four segments of individuals/patients that are clearly distinct from each other, each with its own description. The enriched descriptions provide a better basis for the allocation and developing of supportive programs and interventions across individuals.
Collapse
Affiliation(s)
- Sjaak Bloem
- Center for Marketing & Supply Chain Management, Nyenrode Business University, P.O. Box 130, 3620, AC, Breukelen, The Netherlands
| | - Joost Stalpers
- Center for Marketing & Supply Chain Management, Nyenrode Business University, P.O. Box 130, 3620, AC, Breukelen, The Netherlands
| | - Edward A G Groenland
- Center for Marketing & Supply Chain Management, Nyenrode Business University, P.O. Box 130, 3620, AC, Breukelen, The Netherlands
| | - Kees van Montfort
- Center for Marketing & Supply Chain Management, Nyenrode Business University, P.O. Box 130, 3620, AC, Breukelen, The Netherlands.,Department of Biostatistics, Erasmus Medical Center Rotterdam, P.O. Box 2040, 3000, CA, Rotterdam, The Netherlands
| | - W Fred van Raaij
- Tilburg School of Social and Behavioral Sciences, Tilburg University, P.O. Box 90153, 5000, LE, Tilburg, The Netherlands
| | - Karla de Rooij
- Janssen-Cilag B.V, PO Box 4928, 4803, EX, Breda, The Netherlands.
| |
Collapse
|
2
|
Rigamonti AE, Tringali G, De Micheli R, De Col A, Tamini S, Saezza A, Cella SG, Sartorio A. Impact of a Three-Week in-Hospital Multidisciplinary Body Weight Reduction Program on Body Composition, Muscle Performance and Fatigue in a Pediatric Obese Population with or without Metabolic Syndrome. Nutrients 2020; 12:E208. [PMID: 31941135 PMCID: PMC7019212 DOI: 10.3390/nu12010208] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Revised: 01/07/2020] [Accepted: 01/09/2020] [Indexed: 12/20/2022] Open
Abstract
Metabolic syndrome is a combination of cardiometabolic risk factors, frequently detected in obese children and adolescents. To date, few clinical studies have evaluated the effectiveness of multidisciplinary body weight reduction programs on body mass index, body composition, muscle performance and fatigue in pediatric obese subjects suffering from metabolic syndrome, which might represent a sub-population that is more difficult to be treated and worthy of more intensive interventions than a population less metabolically complicated. The aim of the present study was to compare the impact of a three-week in-hospital multidisciplinary integrated body weight reduction program (BWRP) on body mass index (BMI), body composition (particularly, fat mass (FM) and fat-free mass (FFM)), motor control (evaluated by one-leg standing balance (OLSB) test), muscle performance (evaluated by the stair climbing test (SCT)) and fatigue (evaluated by fatigue severity scale (FSS)) in a pediatric obese population with or without metabolic syndrome. A pediatric population of 548 obese subjects without metabolic syndrome (F/M = 312/236; age range: 8-18 years; BMI: 36.3 ± 6.7 kg/m2) and 96 obese subjects with metabolic syndrome (F/M = 53/43; age range: 9-18 years; BMI: 38.3 ± 6.9 kg/m2) was recruited. The BWRP significantly reduced BMI, FM (expressed as %), SCT time and FSS score, and increased OLSB time in all subgroups of obese subjects, independent of sex and metabolic syndrome, with preservation of FFM. No significant differences in |ΔBMI|, |ΔFM|, |ΔOLSB| or |ΔSCT| times and |ΔFSS| score were found when comparing subjects (males and females) with or without metabolic syndrome, apart from obese females without metabolic syndrome, who exhibited a lower weight loss and FM (expressed as %) reduction when compared to the corresponding male counterpart. In conclusion, the beneficial effects of a three-week BWRP on BMI, body composition, muscle performance and fatigue in a pediatric obese population were not found to be different in patients with or without metabolic syndrome, thus indicating that the more metabolically compromised patient is as responsive to a short-term BWRP as the patient without metabolic syndrome. More prolonged follow-up studies are, however, necessary in order to verify whether the adherence to the multidisciplinary recommendations at home and the long-term maintenance of the positive effects in the two subgroups of patients will remain similar or not.
Collapse
Affiliation(s)
| | - Gabriella Tringali
- Experimental Laboratory for Auxo-Endocrinological Research, Istituto Auxologico Italiano, IRCCS, 28824 Piancavallo (VB), Italy; (G.T.); (R.D.M.); (A.D.C.); (S.T.); (A.S.)
| | - Roberta De Micheli
- Experimental Laboratory for Auxo-Endocrinological Research, Istituto Auxologico Italiano, IRCCS, 28824 Piancavallo (VB), Italy; (G.T.); (R.D.M.); (A.D.C.); (S.T.); (A.S.)
| | - Alessandra De Col
- Experimental Laboratory for Auxo-Endocrinological Research, Istituto Auxologico Italiano, IRCCS, 28824 Piancavallo (VB), Italy; (G.T.); (R.D.M.); (A.D.C.); (S.T.); (A.S.)
| | - Sofia Tamini
- Experimental Laboratory for Auxo-Endocrinological Research, Istituto Auxologico Italiano, IRCCS, 28824 Piancavallo (VB), Italy; (G.T.); (R.D.M.); (A.D.C.); (S.T.); (A.S.)
| | - Antonella Saezza
- Division of Auxology and Metabolic Diseases, Istituto Auxologico Italiano, IRCCS, 28824 Piancavallo (VB), Italy;
| | - Silvano G. Cella
- Department of Clinical Sciences and Community Health, University of Milan, 20129 Milan, Italy;
| | - Alessandro Sartorio
- Experimental Laboratory for Auxo-Endocrinological Research, Istituto Auxologico Italiano, IRCCS, 28824 Piancavallo (VB), Italy; (G.T.); (R.D.M.); (A.D.C.); (S.T.); (A.S.)
- Division of Auxology and Metabolic Diseases, Istituto Auxologico Italiano, IRCCS, 28824 Piancavallo (VB), Italy;
| |
Collapse
|
3
|
Albert Pérez E, Poveda González M, Martínez-Espinosa RM, Molina Vila MD, Reig García-Galbis M. Practical Guidance for Interventions in Adults with Metabolic Syndrome: Diet and Exercise vs. Changes in Body Composition. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E3481. [PMID: 31540536 PMCID: PMC6765968 DOI: 10.3390/ijerph16183481] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 08/29/2019] [Accepted: 09/02/2019] [Indexed: 12/12/2022]
Abstract
(1) Objective: to establish practical guidance for the design of future clinical trials in MS (metabolic syndrome) patients aged 18 and older, based on a systematic review of randomized clinical trials connecting diet, physical exercise and changes in body composition. (2) Method: this systematic review of randomized clinical trials (RCT) is based on the guidelines recommended by PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses). Criteria of selection: ≥18 years of age; patients diagnosed with MS; intervention programs including diet, physical exercise and/or modifications in the style of life as treatment, as well as the magnitude of changes in body composition (BC); randomized clinical trial published between 2004 and 2018. (3) Results: the multidisciplinary interventions describe major changes in BC, and the recurring pattern in these clinical trials is an energy reduction and control in the percentage of intake of macronutrients along with the performance of regularly structured exercise; the most analyzed parameter was waist circumference (88.9% of the trials), followed by body weight (85.2%), BMI (77.8%) and body fat (55.6%). (4) Conclusions: The analysis of the information here reported sheds light for the design of future clinical trials in adults with MS. The best anthropometric parameters and units of measurement to monitor the interventions are related to dietary and physical exercise interventions. A list of practical advice that is easy to implement in daily practice in consultation is here proposed in order to guarantee the best results in changes of body composition.
Collapse
Affiliation(s)
- Enrique Albert Pérez
- Faculty of Health Sciences, University of Alicante, 03690 Alicante, Spain; (E.A.P.); (M.P.G.)
| | - Marina Poveda González
- Faculty of Health Sciences, University of Alicante, 03690 Alicante, Spain; (E.A.P.); (M.P.G.)
| | - Rosa María Martínez-Espinosa
- Division of Biochemistry and Molecular Biology, Department of Agrochemistry and Biochemistry, Faculty of Sciences. University of Alicante, 03690 Alicante, Spain;
| | - Mariola D Molina Vila
- Department of Mathematics, Faculty of Sciences, University of Alicante, 03690 Alicante, Spain;
| | - Manuel Reig García-Galbis
- Department of Nutrition and Dietetics, Faculty of Health Sciences, University of Atacama, Avda. Copayapu 2862, III Region, Copiapó 1530000, Chile
| |
Collapse
|
4
|
Booth AO, Lowis C, Hunter SJ, Dean M, Cardwell CR, McKinley MC. Development and Evaluation of a Computer-Based, Self-Management Tool for People Recently Diagnosed with Type 2 Diabetes. J Diabetes Res 2016; 2016:3192673. [PMID: 27446961 PMCID: PMC4944056 DOI: 10.1155/2016/3192673] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Revised: 05/31/2016] [Accepted: 06/06/2016] [Indexed: 01/01/2023] Open
Abstract
Aim. The purpose of this study was to develop and evaluate a computer-based, dietary, and physical activity self-management program for people recently diagnosed with type 2 diabetes. Methods. The computer-based program was developed in conjunction with the target group and evaluated in a 12-week randomised controlled trial (RCT). Participants were randomised to the intervention (computer-program) or control group (usual care). Primary outcomes were diabetes knowledge and goal setting (ADKnowl questionnaire, Diabetes Obstacles Questionnaire (DOQ)) measured at baseline and week 12. User feedback on the program was obtained via a questionnaire and focus groups. Results. Seventy participants completed the 12-week RCT (32 intervention, 38 control, mean age 59 (SD) years). After completion there was a significant between-group difference in the "knowledge and beliefs scale" of the DOQ. Two-thirds of the intervention group rated the program as either good or very good, 92% would recommend the program to others, and 96% agreed that the information within the program was clear and easy to understand. Conclusions. The computer-program resulted in a small but statistically significant improvement in diet-related knowledge and user satisfaction was high. With some further development, this computer-based educational tool may be a useful adjunct to diabetes self-management. This trial is registered with clinicaltrials.gov NCT number NCT00877851.
Collapse
Affiliation(s)
- Alison O. Booth
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia
| | - Carole Lowis
- Food and Health Communications, North Yorkshire YO62 6BH, UK
| | - Steven J. Hunter
- Regional Centre for Endocrinology and Diabetes, Belfast Health and Social Care Trust, Royal Victoria Hospital, Belfast BT12 6BA, UK
| | - Moira Dean
- School of Biological Sciences, Queen's University Belfast, Belfast BT9 5AG, UK
| | - Chris R. Cardwell
- Centre for Public Health, School of Medicine, Dentistry & Biomedical Science, Queen's University Belfast, Belfast BT12 6BJ, UK
| | - Michelle C. McKinley
- Centre for Public Health, School of Medicine, Dentistry & Biomedical Science, Queen's University Belfast, Belfast BT12 6BJ, UK
- *Michelle C. McKinley:
| |
Collapse
|