Literature DB >> 35923655

Patient Preferences in Shared Decision Making During Healthcare and Associated Factors Among Adult Admitted Patients at Public Hospitals of West Shoa Oromia, Ethiopia.

Yonas Gurmu1.   

Abstract

Background: Patient preferences mean the choices of individuals to make decisions about health and medical treatment by using their own experiences, beliefs, and values. The aim of this study was to assess patient preferences in shared decision making during healthcare and associated factors among adult admitted patients at public hospitals of West Shoa Oromia, Ethiopia.
Methods: A cross-sectional study was carried out among adult admitted patients at public hospitals of West Shoa Oromia, Ethiopia. An interviewer-administered with the Control Preference Scale questionnaire instrument tool was used to assess patient preferences in shared decision making. All statistical analysis was performed using SPSS for windows program version 21.
Results: A total of 403 respondents participated. Out of the total respondents, 168 (41.7%) were females. Overall, 64.8% (n=261) of the respondents prefer a collaborative role in shared decision making. Age (AOR 4.11, 95% CI 2.21-7.64), marital status (AOR 0.37, 95% CI 0.20-0.68), and education level (AOR 2.45, 95% CI 1.13-4.87) are significant in patient preference in shared decision making. Conclusion and Recommendation: More than half of respondents 261 (64.8%) prefer shared decision making in a collaborative role with healthcare providers. Age, marital status, and level of education are factors associated with the patient preferences in shared decision making. The Ethiopian ministry of health should work on policy of shared decision making. Healthcare providers have to consider patients in shared decision making.
© 2022 Gurmu.

Entities:  

Keywords:  admitted patients; patient; patient preferences

Year:  2022        PMID: 35923655      PMCID: PMC9342655          DOI: 10.2147/PPA.S376600

Source DB:  PubMed          Journal:  Patient Prefer Adherence        ISSN: 1177-889X            Impact factor:   2.314


Introduction

Patient preferences mean the choices of individuals to make decisions about health and medical treatment by using their own experiences, beliefs, and values.1 The choices and preferences are not left to the patients; there needs to be a shared decision making process between patients and healthcare providers.2,3 The shared decision making efficacy is limited by the impossibility to clearly define the course of action, and the informed ideal, in which the healthcare providers provide information to the patient who is in charge of making decisions.2,4 The know-how coming from patients and healthcare providers on each part cannot replace the other. So, as to specifics. In shared decision making, despite the fact that the healthcare providers have an expertise in diagnosis, prognosis, and treatment options, patients are experts in their medical history, values, preferences, and areas.5 The majority of patients recognized their healthcare providers that a decision needs to be made and the availability of different options. However, the level of shared in treatment decision making process was low.6 Patients wanted their family to be involved in shared decision making; however, patients’ expectation and healthcare providers’ perception of patients’ role preference have a gap. Therefore, healthcare providers should actively involve patients in shared decision making in their daily clinical practice.7 Nowaday’s patient-centered care approach has importance in patients’ contribution and in the medical decision making process. The increase of patient activity within their own care process comes from elements that can be considered as enablers of shared decision making.8–10 Incorporating and understanding individuals’ preferences for participating in healthcare decisions are the bases in delivering patient-centered care.11,12 Communication is an important asset for shared decision making.13 Patients are asked to engage in informed discussion of the risks, benefits, and alternative interventions and decide between them for the elicited preferences.14,15 The patients benefit from their contribution and the shared decision making process by identifying preferred option through a bidirectional communication process.16–18 In general, patient preferences in shared decision making have clinical significances. Patients who collaborate with their healthcare providers to reach a shared healthcare decision have greater trust in the healthcare providers–patient relationship, collaborate more fully to implement the shared decision, and express greater satisfaction with their health care. Research has shown that patients with chronic diseases, such as hypertension, diabetes mellitus, peptic ulcer disease, and rheumatoid arthritis, enjoy better health outcomes when they ask questions, express opinions, and make their preferences known.1 The aim of this study was to find patient preferences in shared decision making during healthcare and associated factors among adult admitted patients at public hospitals of West Shoa Oromia, Ethiopia.

Methods

Study Design and Participants

A cross sectional study was conducted at four hospitals that are found in West Shoa zone of Oromia regional state. Those hospitals are Ambo University referral hospital, Ambo general hospital, Gedo hospital and Inchini hospital. All adult (18 years or older) admitted patients at medical and surgical wards in selected hospitals were included except those who were seriously ill during data collection. The total sample calculated was 422. The total sample was allocated proportionally to the hospitals depending on the number of admitted patients at medical and surgical wards. Accordingly, 148 patients from Ambo University referral hospital, 127 from Ambo general hospital 84 from Gedo hospital, and 63 from Inchini hospital were selected by systematic sampling technique.

Instruments (Measures) and Data Collection

The questionnaire was translated from English to Afaan Oromo and Amharic languages by a multilingual translator before data collection, and then back translated to English by another multilingual translator after data were collected. The standardized questionnaire was pre-tested, and the internal consistency of the question was evaluated and the Cronbach's alpha value was 0.78. The patient preferences in shared decision making were measured using the Control Preference Scale questionnaire.7 A 5-point Likert scale on shared decision making was used. Scored were recorded as strongly agree with 5, agree with a 4, neutral with a 3, disagree with a 2, and strongly disagree with a 1. The mean score for the 6 items was then calculated for each participant, with a maximum of 5 and a minimum of 1. Collaborative role was considered for which individuals make decisions together with their healthcare providers (mean score ≥4) and passive was considered as preferring to leave decisions to healthcare providers (mean score <4).12 The data were collected by interviewer. Training was given for the data collectors to warrant that all the data collectors have the same information about the study instrument and have the same interview procedures. The training includes about the purpose of the study, confidentiality, and how to approach and forward questions to patients. The data collectors were BSc healthcare providers. During data collection there has been strict supervision.

Statistical Analysis

The analysis was done using Statistical Package for the Social Sciences (SPSS) statistical software version 21.0. Bivariate and multivariate analyses using logistic regression were computed to assess association between the independent variable (socio-demographic characteristics) and patient preferences (the outcome variable). Independent variables with P<0.2 on bivariate logistic regression were used for multivariate analysis. The statistical level significant is set at alpha of 0.05. The data were described and presented using narrative text, figure, and tables.

Results

Socio‑demographic Characteristics of Respondents

A total of 403 respondents participated. The response rate was 95.5. Out of the total of respondents, 168 (41.7%) were females. About 111 (27.5%) of the respondents were belonging to the age group 20−39 years (Table 1).
Table 1

Socio-Demographic Characteristics of Respondents in Selected Public Hospitals of West Shoa Zone, Oromia, Ethiopia, 2020

VariableCategoryFrequency (n=403)Percent
Age20–3911127.5
40–5916440.7
≥6012831.7
SexMale23558.3
Female16841.7
Marital statusSingle10927.0
Married25362.8
Divorced153.7
Widowed266.5
EducationNot read and write5613.9
Read and write338.2
Primary (1–8)11929.5
Secondary (9–12)10225.3
Tertiary (above 12)9323.1

Abbreviation: n, total number of respondents.

Socio-Demographic Characteristics of Respondents in Selected Public Hospitals of West Shoa Zone, Oromia, Ethiopia, 2020 Abbreviation: n, total number of respondents.

Patient Preferences of Respondents

More than half of the respondents prefer making a shared decision collaborative role 261 (64.8%) with their healthcare providers, whereas the rest of respondents were passive 142 (35.2%) and they prefer to leave decisions to healthcare providers.

Factors Associated with Patient Preferences

Those variables that had association with patient preferences with p-value less than 0.2 in the simple logistic regression analysis were taken to multiple logistic regression analysis. The odds of a collaborative role patient is 4.11 times among patients with age >60 years as compared to age 20–39 years (AOR 4.11, 95% CI 2.21–7.64). Those respondents married were 63% less likely to have collaborative role patient preferences in shared decision making than those single (unmarried) (AOR 0.37, 95% CI 0.20–0.68). Those respondents who are above grade 12 were 2.35 times more likely to have collaborative role patient preferences in shared decision making (AOR 2.45, 95% CI 1.13–4.87) compared to those not read and write respondents (Table 2).
Table 2

Factors Associated with Patient Preferences of Respondents in Selected Public Hospitals of West Shoa Zone, Oromia, Ethiopia, 2020 (n=403)

VariablePatient PreferenceCrude Odds Ratio (COR, 95% CI)Adjusted Odds Ratio (AOR, 95% CI)
PassiveCollaborative Role
Age
20–39595211
40–59451193.00 (1.81–4.98)4.75 (2.58–8.74)*
≥6038902.69 (1.58–4.57)4.11 (2.21–7.64)*
Sex
Male7416111
Female681000.68 (0.45–1.02)0.71 (0.44–1.13)
Marital status
Single357411
Married921610.83 (0.51–1.33)0.37 (0.20–0.68)*
Divorced3121.89 (0.50–7.14)0.90 (0.22–3.77)*
Widowed12140.55 (0.23–1.32)0.23 (0.09–0.63)*
Education
Not read and write262911
Read and write16170.95 (0.40–2.26)0.98 (0.39–2.49)
Primary (1–8)44751.53 (0.80–2.92)1.48 (0.75–2.90)
Secondary (9–12)29732.26 (1.14–4.46)2.34 (1.14–4.77)*
Tertiary (above 12)27672.23 (1.11–4.45)2.35 (1.13–4.87)*

Notes: *P<0.05; 1, reference; n, total number of respondents.

Factors Associated with Patient Preferences of Respondents in Selected Public Hospitals of West Shoa Zone, Oromia, Ethiopia, 2020 (n=403) Notes: *P<0.05; 1, reference; n, total number of respondents.

Discussion

Patient preferences in shared decision making are important in looking for their expression, which the healthcare providers should consider in treating the patients such as fears, imaginations, or unusual beliefs.1 Involving patients in the shared decision making process allows them to their specific needs, values, and preferences,10,19 even though not all patients wish to collaboratively participate in health-related decisions to the same extent.20 About 91% of respondents agree that encouragement from healthcare providers would motivate their participation in shared decision-making.6 Communicationcan be a barrier to share decision-making; some patients from disadvantaged cultural backgrounds are not used to participating in shared decision making.21,22 This study aimed to assess patient preferences in shared decision making and associated factors among adult admitted patients at public hospitals of West Shoa Oromia, Ethiopia. Accordingly, this study identifies that 64.8% of patients prefer to involve collaborative preference in shared decision making. This indicated that the remaining 35.2% prefer passive preference in shared decision making. This study also identify that patient preferences were significantly associated with age, marital status, and education level. The results of this study are similar to Ambigapathy et al; shared decision making (collaborative) was preferred by 51.9% of patients, followed by passive (26.3%) and active (21.8%) roles in decision making.7 In another study by Mah et al, 51.4% of respondents preferred a collaborative role with their healthcare providers, 44.8% preferred a passive role while only 1.9% preferred an active role. Most patients preferred a collaborative role (57.5%), followed by a semi passive (21.2%), a partly autonomous (16.2%), an autonomous (2.8%) and a fully passive (2.3%) role when making medical decisions.23 In this study, those married women were 63% less likely to have collaborative patient preferences in shared decision making. This may be because marital status need a joint decision either with husband or wife. This can be evidenced by the study done Chang et al,24 joint decision making by a married or cohabitating couple, one of the most prevalent social relationships globally. This may reflect growing equality and partnership between men and women when viewed against historical and traditional norms of men having decision making authority.24 Regarding which factors are associated with patient preferences in a shared decision making process, our findings are in line with other studies, which found age, education to be significantly associated with the desire to participate in health decisions.6,22,23 However, we found no significant differences between different sex, unlike other studies.23,25,26 Having a high response rate and usage of a standardized questionnaire are the strengths of this study. It also used baseline information for future studies of that area. The study has limitation concerning social desirability bias and cross-sectional study design.

Conclusion and Recommendation

More than half of respondents (64.8%) prefer making shared decisions collaboratively with their healthcare providers. Age, marital status, and level of education are factors associated with the patient preferences in shared decision making. The Ethiopian ministry of health should work on a policy of shared decision making. Healthcare providers have to consider patients in shared decision making. Future work that is expected from researchers is an interventional study and identifying the pathway by which cultural backgrounds and diagnosis may affect the degree of patient preference in shared decision making.
  21 in total

1.  Decision-making in the physician-patient encounter: revisiting the shared treatment decision-making model.

Authors:  C Charles; A Gafni; T Whelan
Journal:  Soc Sci Med       Date:  1999-09       Impact factor: 4.634

2.  Shared decision making--pinnacle of patient-centered care.

Authors:  Michael J Barry; Susan Edgman-Levitan
Journal:  N Engl J Med       Date:  2012-03-01       Impact factor: 91.245

3.  Health literacy, numeracy, and other characteristics associated with hospitalized patients' preferences for involvement in decision making.

Authors:  Kathryn M Goggins; Kenneth A Wallston; Samuel Nwosu; Jonathan S Schildcrout; Liana Castel; Sunil Kripalani
Journal:  J Health Commun       Date:  2014

4.  Multimorbidity and Decision-Making Preferences Among Older Adults.

Authors:  Winnie C Chi; Jennifer Wolff; Raquel Greer; Sydney Dy
Journal:  Ann Fam Med       Date:  2017-11       Impact factor: 5.166

5.  Perceived involvement and preferences in shared decision-making among patients with hypertension.

Authors:  Hui Chin Mah; Leelavathi Muthupalaniappen; Wei Wen Chong
Journal:  Fam Pract       Date:  2016-03-18       Impact factor: 2.267

Review 6.  A typology of shared decision making, informed consent, and simple consent.

Authors:  Simon N Whitney; Amy L McGuire; Laurence B McCullough
Journal:  Ann Intern Med       Date:  2004-01-06       Impact factor: 25.391

7.  Not all patients want to participate in decision making. A national study of public preferences.

Authors:  Wendy Levinson; Audiey Kao; Alma Kuby; Ronald A Thisted
Journal:  J Gen Intern Med       Date:  2005-06       Impact factor: 5.128

8.  Patient involvement in decision-making: a cross-sectional study in a Malaysian primary care clinic.

Authors:  Ranjini Ambigapathy; Yook Chin Chia; Chirk Jenn Ng
Journal:  BMJ Open       Date:  2016-01-04       Impact factor: 2.692

9.  Training Cognitive Functions Using Mobile Apps in Breast Cancer Patients: Systematic Review.

Authors:  Laura Vergani; Giulia Marton; Silvia Francesca Maria Pizzoli; Dario Monzani; Ketti Mazzocco; Gabriella Pravettoni
Journal:  JMIR Mhealth Uhealth       Date:  2019-03-19       Impact factor: 4.773

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