Korean J Health Promot.  2017 Sep;17(3):152-160. 10.15384/kjhp.2017.17.3.152.

The Association between Chronic Diseases and Active Patient Participation

Affiliations
  • 1Department of Family Medicine, Busan Paik Hospital, Inje University College of Medicine, Busan, Korea. jinseungkim@inje.ac.kr

Abstract

BACKGROUND
Active patient participation in health care decision-making can results in better medical outcomes. This study's purpose is to investigate the association between the patient participation and the diseases often encountered in primary care.
METHODS
We used the data from the Korean National Health and Nutrition Examination Survey conducted in 2015 which included 4,158 adults aged older than 19 and who had no missing data. The association between the presence of disease or the number of accompanying diseases and the active patient participation in the treatment decision was studied. Logistic regression analysis was conducted using complex sampling design in each sex.
RESULTS
After adjusting for confounding variables, the relationship between active patient participation and the diagnosis of hypertension, odds ratio (OR) was 1.95 (95% confidence interval [CI], 1.25-3.04) for men and 1.83 (95% CI, 1.27-2.65) for women. In women diagnosed with diabetes, OR was 0.58 (95% CI, 0.35-0.97). Between active patient participation and increasing number of accompanying diseases have positive tendency but not statistically significant.
CONCLUSIONS
This study suggests that active patient participation is related to the diagnosis of hypertension, and the number of accompanying diseases and active patient participation were not significantly associated. This is a rare study related to the active patient participation in the Korean population, that it may be helpful in establishing further relevant research and strategies to increase the patient participation rate.

Keyword

Patient participation; Hypertension; Compliance

MeSH Terms

Adult
Chronic Disease*
Compliance
Confounding Factors (Epidemiology)
Delivery of Health Care
Diagnosis
Female
Humans
Hypertension
Logistic Models
Male
Nutrition Surveys
Odds Ratio
Patient Participation*
Primary Health Care

Figure

  • Figure 1. Flow chart of subjects’ selection.


Reference

1.Haynes RB., Taylor DW., Sackett DL. Compliance in health care. Baltimore: Johns Hopkins University Press;1979.
2.Becker MH., Maiman LA. Sociobehavioral determinants of compliance with health and medical care recommendations. Med Care. 1975. 13(1):10–24.
Article
3.Becker MH. Patient adherence to prescribed therapies. Med Care. 1985. 23(5):539–55.
Article
4.Jeong YY. Adherence: implications for asthma treatment. Allergy Asthma Respir Dis. 2013. 1(2):105–10.
Article
5.DiMatteo MR., Sherbourne CD., Hays RD., Ordway L., Kravitz RL., McGlynn EA, et al. Physicians' characteristics influence patients' adherence to medical treatment: results from the Medical Outcomes Study. Health Psychol. 1993. 12(2):93–102.
Article
6.Roter DL., Hall JA. Strategies for enhancing patient adherence to medical recommendations. JAMA. 1994. 271(1):80.
Article
7.Wissow LS., Roter D., Bauman LJ., Crain E., Kercsmar C., Weiss K, et al. Patient-provider communication during the emergency department care of children with asthma. The National Cooperative Inner-City Asthma Study, National Institute of Allergy and Infectious Diseases, NIH, Bethesda, MD. Med Care. 1998. 36(10):1439–50.
8.Lee JH., Kim CJ. Effect of patient-centered communication of doctor on patient participation: focusing on moderating effect of trust. J of Korea Contents Association. 2013. 13(3):278–86.
9.Bell JA., Balneaves LG. Cancer patient decision making related to clinical trial participation: an integrative review with implications for patients' relational autonomy. Support Care Cancer. 2015. 23(4):1169–96.
Article
10.Schanen JG., Iribarren C., Shahar E., Punjabi NM., Rich SS., Sorlie PD, et al. Asthma and incident cardiovascular disease: the Atherosclerosis Risk in Communities Study. Thorax. 2005. 60(8):633–8.
Article
11.Statistics Korea. 2015 Cause of death statistics (nationwide) [Internet]. Daejeon: Statistics Korea;2017. [Accessed Jun 5, 2017]. Available from:. http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1B34E09&conn_path=I2.
12.Coentre R., Talina MC., Góis C., Figueira ML. Depressive symptoms and suicidal behavior after first-episode psychosis: a comprehensive systematic review. Psychiatry Res. 2017. 253:240–8.
Article
13.Kim SO. Medication adherence of elderly with hypertension and/or diabetes-mellitus and its' Influencing factors. Korean J Clin Pharm. 2011. 21(2):81–9.
14.Lee JS., Lee ES., Yang YJ., Yoon YS., Lee JH., Ji HA, et al. Comparison of characteristics between compliant and non-compliant for dyslipidemia treatment -using Korean national health and nutrition examination survey 2009~2012. Korean J Fam Pract. 2015. 5(3):S738–44.
15.Moon DS., An SM., Kim KH., Kim YJ., Lee SM., Paik JW. The factors associated with antidepressant adherence in outpatients with depressive disorder. Korean J Psychopharmacol. 2015. 26(2):35–42.
16.García-Pérez LE., Alvarez M., Dilla T., Gil-Guillén V., Orozco-Beltrán D. Adherence to therapies in patients with type 2 diabetes. Diabetes Ther. 2013. 4(2):175–94.
Article
17.Sunwoo D., Song HJ., Hwang NM., Kang EJ., Seo YJ., Kim TI, et al. The development of health care system for older Koreans: reports 2005-04. Seoul: Korea institute for health and social affairs;2005.
18.Singh JA., Sloan JA., Atherton PJ., Smith T., Hack TF., Huschka MM, et al. Preferred roles in treatment decision making among patients with cancer: a pooled analysis of studies using the control preferences scale. Am J Manag Care. 2010. 16(9):688–96.
19.Lee CN., Chang Y., Adimorah N., Belkora JK., Moy B., Partridge AH, et al. Decision making about surgery for early-stage breast cancer. J Am Coll Surg. 2012. 214(1):1–10.
Article
20.Zikmund-Fisher BJ., Couper MP., Singer E., Ubel PA., Ziniel S., Fowler FJ Jr, et al. Deficits and variations in patients' experience with making 9 common medical decisions: the DECISIONS survey. Med Decis Making. 2010. 30(5 Suppl):85S–95.
Article
21.Hoffman RM., Elmore JG., Fairfield KM., Gerstein BS., Levin CA., Pignone MP. Lack of shared decision making in cancer screening discussions: results from a national survey. Am J Prev Med. 2014. 47(3):251–9.
22.Brom L., Hopmans W., Pasman HR., Timmermans DR., Widdershoven GA., Onwuteaka-Philipsen BD. Congruence between patients' preferred and perceived participation in medical decision-making: a review of the literature. BMC Med Inform Decis Mak. 2014. 14:25.
Article
23.Sullivan DR., Golden SE., Ganzini L., Wiener RS., Eden KB., Slatore CG. Association of decision-making with patients' perceptions of care and knowledge during longitudinal pulmonary nodule surveillance. Ann Am Thorac Soc 2017 May 10. [Epub ahead of print].
24.Levinson W., Kao A., Kuby A., Thisted RA. Not all patients want to participate in decision making. A national study of public preferences. J Gen Intern Med. 2005. 20(6):531–5.
25.Chewning B., Bylund CL., Shah B., Arora NK., Gueguen JA., Makoul G. Patient preferences for shared decisions: a systematic review. Patient Educ Couns. 2012. 86(1):9–18.
Article
26.Keating NL., Guadagnoli E., Landrum MB., Borbas C., Weeks JC. Treatment decision making in early-stage breast cancer: should surgeons match patients' desired level of involvement? J Clin Oncol. 2002. 20(6):1473–9.
Article
27.Clayman ML., Bylund CL., Chewning B., Makoul G. The impact of patient participation in health decisions within medical encounters: a systematic review. Med Decis Making. 2016. 36(4):427–52.
Full Text Links
  • KJHP
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr