Psychosocial Predictors of Self-Efficacy Related to Self-Reported Adherence in Older Chronic Patients Dealing with Hypertension: A European Study

Abstract

Purpose

Non-adherence to clinical prescriptions is widely recognized as the most common cause of uncontrolled hypertension, contributing to develop acute and chronic cardiovascular diseases. Specifically, patients’ unintentional non-adherence is related to psychosocial factors as beliefs about medications, perceived physician’s communication effectiveness and medication-specific social support. The aim of this study was to observe the impact of these factors on self-efficacy in relation to pharmacological and non-pharmacological self-reported adherence among older chronic patients with hypertension.

Patients and Methods

This research had a cross-sectional, observational and multicentre study design. Italian inpatients under rehabilitation, and Polish inpatients/outpatients were recruited. Following a cognitive screening, socio-demographic and clinical characteristics were obtained. Data on clinical and behavioral adherence (i.e., pharmacological adherence, adherence to refill medicines, intentional non-adherence) and psychosocial factors related to treatment adherence (i.e., beliefs about medicines, physician’s communication skills, medication-specific social support, psychological antecedents and self-efficacy) were collected with self-report questionnaires.

Results

A total of 458 patients were recruited. Fischer’s LSD post hoc test revealed significant differences between Italian and Polish samples in all measures (p<0.001). Multiple linear regression analysis showed low self-reported intentional non-adherence (β = −.02, p=0.031), high self-reported adherence to refill medications (β=−.05, p=0.017), high levels of perceived physician’s communication effectiveness (β=0.11, p<0.001), positive beliefs about medications (β=0.13, p<0.001), and high perceived medication-specific social support (β=0.05, p<0.001) to predict significantly high patients’ self-efficacy in relation to pharmacological and non-pharmacological self-reported adherence.

Conclusion

The observed psychosocial and behavioral factors revealed to positively impact on self-efficacy in relation to treatment adherence among older chronic patients dealing with hypertension. In a prevention framework, future studies and clinical practice may consider these factors in order to improve assessment and intervention on adherence in this population.

Introduction

Hypertension is responsible for approximately half of all the cardiovascular events, making it the most important risk factor for cardiovascular diseases such as haemorrhagic stroke, ischaemic stroke, myocardial infarction, peripheral artery disease, and heart failure.¹ Moreover, evidence emerged linking high levels of blood pressure with an increased risk of developing atrial fibrillation, as well as cognitive decline and dementia.^2–4 The overall prevalence of hypertension was estimated to be over 150 million in central and Eastern Europe, becoming progressively more common among people aged more than 60 years with a prevalence of 60%.⁵ Although effective medications to control hypertension exist, it was shown that non-adherence toward medication is one of the common causes of uncontrolled hypertension, resulting in failure to curb the condition.^6,7 WHO⁸ defines adherence to long-term therapy as the extent to which a person’s behaviour – taking medication, following a diet, and/or executing lifestyle changes – corresponds with the agreed recommendations from a provider, classifying the improvement of pharmacological and non-pharmacological adherence as a key factor for the successful management of major chronic diseases.⁹

Non-adherence can be often classified as intentional or unintentional according to the patient’s perspective.¹⁰ Recent studies indicated that unintentional non-adherence is significantly affected by beliefs about illness and medication or self-efficacy and emotional state.^11,12 Further studies in patients with chronic diseases revealed unintentional non-adherence to be predicted by beliefs and concerns about medicines.^13–15 Moreover, there is evidence demonstrating the importance of a patient–physician therapeutic relationship contributing to therapy effectiveness. For instance, lack of cooperation with the patient becomes one of the most important factors leading to ineffectiveness of therapy.¹⁶ In addition, the Accreditation Council for Graduate Medical Education (ACGME) identified communication skills as 1 of the 6 core competencies of physicians and provided a framework for measuring the development of these skills.¹⁷ Indeed, effective communication and a patient-centered approach are now the basis for high-quality care. The problem of satisfaction of communication as an element helping to achieve the effectiveness of therapy is the subject of research primarily in the US, while in Europe our knowledge in this area is still limited.^18,19 Furthermore, higher social support was found to positively affect treatment and adherence, as well as to be strongly associated to higher levels of self-efficacy among hypertensive patients.^20,21 Above all, self-efficacy was supported as one of the key factors impacting on treatment adherence among chronic patients.²²

Although measures to improve adherence are widely acknowledged to be a primary intervention, as reported in literature, most of the tools assessing adherence and the intervention aimed to strengthen it, mainly focus on drug assumption and not on behavioral prescriptions.^23,24 Thus, the primary aim of the current research is to identify which psychosocial and behavioral factors (i.e., refill medications adherence, intentional non-adherence, beliefs about medication, perceived physician’s communication skills, and perceived medication-specific social support) may predict self-efficacy in relation to pharmacological and non-pharmacological adherence among older chronic patients with hypertension. In this context, self-efficacy specifically refers to patient’s ability to follow pharmacological prescriptions and non-pharmacological recommendations. Secondarily, to observe and compare psychological and behavioral characteristics of the sample.

Patients and Methods

Study Design, Sample and Procedures

The current research has a cross-sectional, observational, and multicentre study design. Two institutions were involved: Istituti Clinici Scientifici Maugeri in Montescano (Italy) and the Department of Clinical Nursing of Medical University of Wroclaw (Poland). Older (≥ 65-years-old) Italian inpatients under neuromotor, cardiac and pulmonary rehabilitation, Polish inpatients, and Polish outpatients were recruited. Inclusion criteria included a diagnosis of hypertension under regular treatment with at least 1 antihypertensive drug for minimum 6 months and at least 1 chronic disease (e.g., Chronic Obstructive Pulmonary Disease, asthma, chronic renal disease, ischemic heart disease, chronic heart failure, diabetes, osteoporosis and cerebral vasculopathy). Concomitant chronic diseases were evaluated according to the Cumulative Illness Rating Scale (CIRS).²⁵

Exclusion criteria were: severe clinical conditions (i.e., Chronic heart failure NYHA-IV, ischemic heart disease CCS-IV, neoplasmatic disease, acute respiratory disease), no Italian or Polish education, severe visuo-perceptive and language deficits, low subjective motivation/interest or refusal to undergo the evaluation, severe psychiatric disorders (at medical evaluation), severe cognitive deterioration (Mini-Mental State Examination [MMSE] score ≤18.3), and no concomitant chronic disease.

Participants’ recruitment was conducted from 1 May 2019 to 31 July 2019. A panel consisting of internal medicine physicians and nurses conducted preliminary patients’ selection by performing a comprehensive physical examination and, following the European Society of Cardiology (ESC) guidelines,¹ at least 2 blood pressure measurements to diagnose hypertension.

All enrolled patients then provided socio-demographic (i.e., age, gender, educational level, marital status) and clinical data (i.e., blood pressure, presence of specific disease conditions, total number of medical hypertension prescriptions, duration of hypertension and other medical conditions), and consecutively underwent cognitive screening (performed by a researcher) and psychosocial self-report assessment. Patients independently responded to questions referring to information from the last 4 weeks. During instruments completion, patients were supported, in case of necessity, by a researcher throughout the testing period (30ʹ each session). To ensure consistency in data collection process across patients and settings, the entire research group (Italian and Polish) followed the above-described procedures consistently.

Ethical Consideration

The participation to the present research was on a voluntary basis and any form of reimbursement was provided. Patients signed an informed consent for data collection and treatment. The study was approved by institutional Review Board and Central Ethics Committee of the ICS Maugeri (CEC) and Polish consent of the bioethics commission (KB) (approval number: Italian CEC N.2304/2019 and Polish KB 265/2019). The study was performed in accordance with the Helsinki Declaration and the principles of good clinical practice, with respect for the rights and dignity of participants.

Measures

Following the assessment of the cognitive functioning aimed to identify the eligible patients, 7 self-report questionnaires evaluating pharmacological and non-pharmacological adherence, and psychosocial characteristics of the patients to be considered as possible determinants of non-adherence were administered (Table 1).

Table 1.

Measures for Data Collection with Related Construct and Scores Interpretation

Measures	Construct	Scores Interpretation (↗ High, ↘ Low)
MGLS	Pharmacological adherence	↗ Scores ↗ Pharmacological adherence
ARMS	Adherence to refill medicines	↗ Scores ↘ Adherence to refill medicines
INAS	Intentional non-adherence	↗ Scores ↗ Intentional non-adherence
ASonA	Antecedents (cognitive, social, emotional and behavioral factors) and self-efficacy related to adherence	↗ Scores ↗ Higher cognitive, social and behavioral abilities and self-efficacy in adherence management
ASonA-SE	Self-efficacy related to clinical (pharmacological and non-pharmacological) adherence	↗ Scores ↗ Higher self-efficacy related to clinical adherence
BMQ-10	Beliefs (concerns and necessity) about medicines	↗ Scores ↗ Positive beliefs about medicines
CAT	Perceived physician’s communication skills	↗ Scores ↗ Doctor/patient communication
MSPSS	Perceived medication-specific social support	↗ Scores ↗ Perceived social support related to medical adherence

Abbreviations: MGLS, Morisky Green Levine Scale; ARMS, Adherence to Refills and Medications Scale; INAS, Intentional Non-Adherence Scale; ASonA, Antecedents and Self-efficacy on Adherence Schedule (ASonA-SE, Self-efficacy subscale); BMQ-10, Beliefs about Medicines Questionnaire; CAT, Communication Assessment Tool; MSPSS, Multidimensional Scale of Perceived Social Support.

Cognitive Functioning

The MMSE was administered to evaluate the cognitive deterioration. MMSE is a widely used screening test for dementia, whose advantages include speed of administration and simplicity of result interpretation.^26,27 The reliability of MMSE was investigated in several studies and Folstein reported that the test–retest reliability was >0.89, and inter-rater reliability >0.82.²⁶

Self-Reported Adherence

Adherence was evaluated with the following self-report measures:

• The 4-item MGL Adherence Scale for pharmacological adherence (MGLS) which is designed to measure medication adherence behavior and barriers such as forgetfulness, carelessness, adverse effects, and efficacy. Its psychometric properties, concurrent and predictive validity were examined in a high blood pressure population and provided good reliability scores (α=0.61);²⁸

• The Adherence to Refills and Medications Scale (ARMS) to determine adherence to refill medicines.^29,30 In this 12-item measure, scores are obtained on a 4-point Likert scale (1=none of the time, 4=all the time). Psychometric properties of the ARMS were evaluated among chronic patients and showed high internal consistency (α=0.81) and significant correlations with the 4-item MGLS (Spearman’s rho=−0.65, p<0.01).²⁹ Moreover, a psychometric evaluation of the Polish version was conducted among hypertensive patients providing satisfactory scores as regards internal consistency (α=0.95);³⁰

• The Intentional Non-Adherence Scale (INAS) to identify intentional non-adherence.¹⁰ It is a 22-item scale scored on a 5-point Likert scale (1=strongly disagree, 5=strongly agree) and divided into 2 subscales exploring the reluctance to take medicine as it reminds one’s illness (Resisting Illness Subscale [RI]) and the desire to omit or reduce treatment (Testing Treatment Subscale [TT]). INAS development and validation was conducted in different clinical groups, including hypertensive patients, showing good reliability and high levels of internal consistency for both subscales (RI, α=0.95; TT, α=0.97);¹⁰

• The Antecedents and Self-efficacy on Adherence Schedule (ASonA) belongs to a wider group of self-report schedule aimed to evaluate cognitive, behavioral, and emotional determinants of pharmacological and non-pharmacological adherence.²⁴ It is a 21-item schedule scored on a 5-point Likert scale (0=not at all, 4=very much). The schedule comprises 3 subscales: Antecedents (ASonA-A), which include health condition and health-related limitations acceptance, social support, and knowledge about health condition; Self-efficacy (ASonA-SE), exploring patients’ self-care strategies, and patients’ ability to adhere to medication assumption and to non-pharmacological recommendations (i.e., physical activity, diet, alcohol consumption, and smoking avoidance); and Affectivity (ASonA-Aff) which measures patients’ emotional aspects in relation to the health condition. In previous studies, similar schedules, belonging to the schedules group of ASonA, revealed to be sensible instruments showing strong correlations between antecedents and self-efficacy in relation to adherence. Specifically, it was shown that disease limitations acceptance positively correlated to patient’s ability to follow pharmacological and non-pharmacological recommendations and disease acceptance negatively correlated to anxiety and depression.^24,31 A language adaptation was conducted for the purpose of the current study. Italian and Polish versions were administered (as English translation is provided as supplemental digital content, Italian and Polish versions can be requested from the authors).

Psychosocial Characteristics Related to Clinical Adherence

Psychosocial factors in relation to pharmacological and non-pharmacological adherence were evaluated with:

The Beliefs about Medicines Questionnaire (BMQ)³² is a questionnaire scored on a 5-point Likert scale identifying general attitudes and beliefs toward medicines, the necessity of, and the level of concern about, the medication the patient is currently taking (1=strongly agree, 5=strongly disagree). Specifically, the Italian and Polish validated 10-item versions were administered.^33,34 Both validations were conducted including cardiovascular patients. The Italian version showed overall good reliability scores for Necessity subscale (α=0.78) and for Concerns subscale (α=0.72). Similarly, the Polish adaptation provided satisfactory scores for internal consistency (Cronbach’s α ranging from 0.64 to 0.82);

The Communication Assessment Tool (CAT)^35,36 is a 15-item instrument designed to assess patient’s view of physician communication effectiveness. Scores were obtained on a 5-point rating scale (1=poor, 5=excellent). Its original validation provided high overall reliability scores (α=0.96);³⁵

The Multidimensional Scale of Perceived Social Support (MSPSS)^37,38 evaluates, using 12 items, the patient’s perspective of received medication-specific social support from family, friends, and significant others. Scores are obtained on a 7-point Likert scale (1=strongly disagree, 7=strongly agree). The MSPSS validation provided high levels of internal reliability for the total scale (α=0.88), as well as for each subscale: for Friends, Family and Significant Other subscale the obtained Cronbach’s α scores were 0.85, 0.87, and 0.91, respectively.³⁷

Statistical Analyses

Descriptive and inferential statistics were performed with the support of R software (3.6.1 version).³⁹ First, means on sample characteristics including age, gender, marital status, weight, height, systolic (SBP) and diastolic (DBP) blood pressure, number of comorbidities, number of hypertension drugs used, and diagnosis of diabetes, and on reported scores in all the administered scales were calculated distinguishing 3 subgroups, namely Italian inpatients under rehabilitation, Polish inpatients, and Polish outpatients. Of these, comparisons with one-way ANOVA and chi-squared test were conducted. Fischer’s LSD test was used as post hoc procedure. Correlations between quantitative variables (psychosocial and behavioral factors) were assessed with Pearson’s correlation coefficient. Accordingly, to the aim of this study, multivariate analysis of simultaneous impact of demographic, psychosocial and behavioral predictors (age, gender, adherence to refills medicines, perceived physician’s communication skills, beliefs about medications, and medication-specific social support) on patients’ self-efficacy in relation to clinical adherence (dependent variable) was made by the means of linear regression. Statistical significance was set at p<0.05.

Results

Four hundred seventy-one patients were screened for eligibility. Of these, only 13 were excluded due to cognitive deterioration and/or linguistic deficits. Four hundred fifty-eight patients met all inclusion criteria. The sample included 63 Italian inpatients undergoing rehabilitation, 130 Polish inpatients, and 265 Polish outpatients. Socio-demographic and clinical characteristics are presented in Table 2. Significant differences emerged in age, gender, weight, SBP, DBP, and number of chronic comorbidities (p<0.01).

Table 2.

Descriptive Results of Socio-Demographic and Clinical Characteristics of the Sample

	Italian Inpatients Under Rehab (A) (n=63)	Polish Inpatients (B) (n=130)	Polish Outpatients (C) (n=265)	p*	Post Hoc	Total (n=458)
Descriptive (M±SD)
Age	76.1±6.3	71.3±10.4	72.1±6.1	<0.001	A>C, B	72.4±7.8
Weight (kg)	74.7±15.6	81.7±14.3	82.7±15.5	0.001	C, B>A	81.3±15.4
Height (m)	167.2±9.5	165.1±12.5	171.5±110.6	0.762		169.1±84.5
SBP (mmHg)	106.2±28.5	145.1±58.7	138.2±14.4	<0.001	B, C>A	136.9±36.6
DBP (mmHg)	88.6±25.3	82.1±7.2	81.1±8.2	<0.001	A>B, C	82.2±11.2
n. of chronic comorbidities	1.57±0.78	2.05±1.03	1.7±0.79	<0.001	B>C, A	1.78±0.88
n. of hypertension drugs used	1.84±0.83	2.07±1.11	2.09±0.97	0.205		1.78±0.88
Frequencies, n (%)
Gender				0.007
Male	36 (57.1)	47 (35.9)	98 (36.7)			181 (39.3)
Female	27 (42.9)	84 (64.1)	169 (63.3)			280 (60.7)
Marital status				0.104
Married, Living with a partner	34 (54.0)	90 (68.7)	161 (60.3)			285 (61.8)
Single, Divorced	29 (46.0)	41 (31.3)	106 (39.7)			176 (38.2)
Diabetes				0.077
Diabetes	24 (38.1)	62 (47.3)	95 (35.6)			181 (39.3)
No diabetes	39 (61.9)	69 (52.7)	172 (64.4)			280 (60.7)

Notes: *p-value from ANOVA for continuous variable and from X² test for categorial variables. Fischer’s LSD was used as post hoc procedure.

Abbreviations: SBP, systolic blood pressure; DBP, diastolic blood pressure.

Mean scores comparisons of the tests, among and between the groups, were all significant (ANOVA, p<0.001). In addition, Fischer’s LSD post hoc test highlighted that Italian inpatients (A) self-reported higher scores in pharmacological adherence (MGLS), in all psychosocial factors (BMQ-10, CAT, MSPSS), in self-efficacy (ASonA-SE), and lower scores in intentional non-adherence (INAS), and adherence to refill medications (ARMS) than Polish inpatient (B) and/or outpatients (C) (Table 3).

Table 3.

Mean Scores of the Sample and Comparisons Among and Between Subgroups

Measure (Range)	Italian Inpatients Under Rehab (A) (n=63, M±SD)	Polish Inpatients (B) (n=130, M±SD)	Polish Outpatients (C) (n=265, M±SD)	p*	Post Hoc	Total (n=458, M±SD)
MGLS (0–4)	3.5±0.8	1.8±1.3	2.2±1.4	<0.001	A>C>B	2.3±1.4
ARMS (14–56)	18.3±1.8	27.5±7.7	31.1±9.7	<0.001	C>B>A	28.3±9.5
INAS (22–110)	24.1±7.9	43.5±20.8	49.6±19.5	<0.001	C>B>A	44.4±20.6
ASonA (0–80)	60.7±11.2	45.3±10.2	46.7±9.8	<0.001	A>C, B	48.0±11.3
ASonA-SE (0–24)	20.7±2.4	15.7±4.7	15.8±4.5	<0.001	A>C, B	16.5±4.6
BMQ-10 (11–55)	43.1±6.2	25.6±4.9	26.2±4.9	<0.001	A>C, B	28.3±7.8
CAT (15–75)	63.6±10.6	50.2±13.2	52.3±12.1	<0.001	A>C, B	53.3±12.9
MSPSS (12–84)	68.3±14.5	59.7±16.9	58.5±16.1	<0.001	A>B, C	60.2±16.5

Notes: *p-value from the analysis of variance (ANOVA). Fischer’s LSD test was used as post hoc procedure.

Abbreviations: M, mean; SD, standard deviation; MGLS, Morisky Green Levine Scale; ARMS, Adherence to Refills and Medications Scale; INAS, Intentional Non-Adherence Scale; ASonA, Antecedents and Self-efficacy on Adherence Schedule (ASonA-SE, Self-efficacy subscale); BMQ-10, Beliefs about Medicines Questionnaire; CAT, Communication Assessment Tool; MSPSS, Multidimensional Scale of Perceived Social Support.

In Table 4, Pearson’s coefficients are reported. Accordingly to the focus of the study, patients’ self-efficacy (ASonA-SE) was positively correlated to beliefs about medicines (BMQ-10, r=0.463, p<0.001), to patient’s perception of physicians’ communication effectiveness (CAT, r=0.509, p<0.001), and to perceived medication-specific social support (MSPSS, r=0.398, p<0.001), whereas it was negatively correlated to self-reported intentional non-adherence (INAS, r=−0.255, p<0.001) and to self-reported adherence to refill medicines (ARMS, r=−0.334, p<0.001).

Table 4.

Pearson’s Correlation Coefficients of All Measures

	BMQ-10	CAT	MSPSS	MGLS	INAS	ARMS	ASonA	ASonA-SE
BMQ-10	-
CAT	0.397**	-
MSPSS	0.268**	0.353**	-
MGLS	0.239**	0.03	−0.136*	-
INAS	−0.351**	−0.137**	−0.256**	0.036	-
ARMS	−0.397**	−0.213**	−0.284**	0.458**	0.366**	-
ASonA	0.52**	0.566**	0.461**	0.036	−0.232**	−0.348**	-
ASonA-SE	0.463**	0.509**	0.398**	−0.005	−0.255**	−0.334**	0.805**	-

Notes: *p<0.01, **p<0.001.

Abbreviations: BMQ-10, Beliefs about Medicines Questionnaire; CAT, Communication Assessment Tool; MSPSS, Multidimensional Scale of Perceived Social Support; MGLS, Morisky Green Levine Scale; INAS, Intentional Non-Adherence Scale; ARMS, Adherence to Refills and Medications Scale; ASonA, Antecedents and Self-efficacy on Adherence Schedule (ASonA-SE, Self-efficacy subscale).

The multiple regression analysis indicated that low self-reported intentional non-adherence (INAS, β= −.02, p=0.031), high self-reported adherence to refill medications (ARMS, β=−.05, p=0.017), positive beliefs about medications (BMQ-10; β=0.13, p<0.001), positive perception of physicians’ communication skills (CAT; β=0.11, p<0.001), high perceived medication-specific social support (MSPSS; β=0.05, p<0.001) significantly predicted high levels of patients’ self-efficacy related to pharmacological and non-pharmacological adherence (Table 5).

Table 5.

Results from the Multiple Regression Analysis Considering Patients’ Self-Efficacy as Dependent Variable (ASonA-SE, n=458)

Indipendent Variables	Coefficient	95% CI		p
BMQ-10	0.126	0.074	0.178	<0.001
CAT	0.114	0.085	0.144	<0.001
MSPSS	0.043	0.02	0.065	<0.001
ARMS	−0.049	−0.089	−0.009	0.017
INAS	−0.021	−0.04	−0.002	0.031
Age	−0.042	−0.098	0.014	0.14
Gender	0.346	−.0342	1.034	0.323

Abbreviations: ASonA-SE, Antecedents and Self-efficacy on Adherence Schedule – Self-efficacy subscale; BMQ-10, Beliefs about Medicines Questionnaire; CAT, Communication Assessment Tool; MSPSS, Multidimensional Scale of Perceived Social Support; ARMS, Adherence to Refills and Medications Scale; INAS, Intentional Non-Adherence Scale.

Discussion

To date, research and clinical practice on adherence mainly focused on drug assumption rather than behavioral, cognitive, social, and emotional antecedents.^12,23,24 The current cross-sectional, observational and multicentre research represented an attempt to identify possible psychosocial and behavioral factors predicting self-efficacy related to pharmacological and non-pharmacological self-reported adherence among older chronic patients dealing with hypertension. In particular, the concept of adherence was considered and evaluated in accordance to patient’s perspective rather than to specific direct measurements. Thus, the presented and discussed outcomes are to be considered in a patient reported framework. The study therefore explored the role of patients’ adherent behaviors, beliefs about medications, perception of physicians’ communication effectiveness, perception of medication-specific social support in relation to perceived self-efficacy on adherence.

Previous research already underlined the importance of patients’ health beliefs and self-efficacy in medication adherence management, suggesting their relationships to vary unpredictably across and within countries.⁴⁰ To the best of our knowledge, the current research is the first to investigate and compare self-reported adherence among Italian inpatients undergoing a multidisciplinary rehabilitation intervention, and Polish inpatients and outpatients. Patients’ socio-demographic and clinical characteristics were heterogeneous. A significant difference on total sample gender distribution emerged in contrast to previous worldwide surveys showing high blood pressure prevalence to be 2420% in men and women, respectively.⁴¹ Moreover, Italian patients were significantly older, and presented higher overall means in DBP. Polish patients reported higher overall scores in weight, and in SBP. Specifically, Polish inpatients showed a higher number of chronic comorbidities. Furthermore, Italian patients showed higher scores in all measured psychosocial and behavioral factors than both subgroups of Polish patients, and more specifically, Polish inpatients revealed higher rates than Polish outpatients’ ones.

As to the purpose of the current study, recent researches on hypertensive population reported that intentional non-adherence, self-efficacy, perceived social support, affectivity, and health beliefs were significant determinants and mediators of treatment adherence.^6,42-44 The current research strengthened this knowledge, showing that more positive beliefs stronger necessity and lower concerns about medicines, and higher perceived medication-specific social support, as well as lower intentional non-adherence and higher adherence to refill medicines, significantly predicted higher patients’ self-efficacy in relation to pharmacological and non-pharmacological adherence. These factors may sustain and reinforce the person’s motivation and strategic skills, resulting in the empowerment of the patient who increases her/his self-efficacy. To this regard, the Three Factor Model already underlined the pivotal role of motivation and strategies to maintain the adherent behavior.¹² Further studies are encouraged to better explore this hypothesis.

Another added value of this study is that positive perception of physicians’ communication effectiveness was revealed to be an independent factor of higher self-efficacy, too. This finding supports what emerged from previous studies, which considered a physician’s communication skills as a potential key factor in improving patients’ medication beliefs, self-efficacy, and medication adherence.^45,46

Further prospective cohort research should be conducted in order to investigate the long-term mediator influence of self-efficacy on the relationship between its determinants and clinical adherence. Moreover, future studies may also investigate whether higher levels of the latter may further lead to positive effects on its determinants, contributing to develop a circular and virtuous model (Figure 1). The implementation of this model may orient future empirical assessment and interventions too, in order to foster chronic and hypertensive patient’s self-management and self-care.

Figure 1.

Model showing possible circular effect of higher levels of psychosocial and behavioral factors, self-efficacy, and clinical adherence.

This research was conducted considering a wide sample, but some limitations are to be reported: a wide range of chronic comorbidities, 2 different cultures, the absence of cognitive impairment and 3 typologies of health care settings were considered. On the other hand, the heterogeneity of the sample may however allow us to generalize the findings on chronic inpatients and outpatients with hypertension. In addition, the absence of cognitive impairment may recommend future interventions to focus on adherence management among chronic and hypertensive patients with a cognitive decline. In fact, studies on this population already showed low adherence to be strongly associated with cognitive and physical barriers, leading drug assumption difficult to be managed regularly.^47,48 Furthermore, as the current research shows that social support could be a protective factor in adherence management, future studies on patients with cognitive deterioration or dementia may include the role of their caregivers in order to improve these behaviors.

Beliefs about medications, perceived physicians’ communication effectiveness, and medication-related social support may be considered as sensible determinants of patients’ self-efficacy on adherence. This ultimate outcome should be considered as a contribution to the literature on antecedents of patient reported adherence. This might orient future research and empirical interventions to focus on these factors in order to also improve clinical adherence in psychosocial and behavioral terms.

Conclusion

The current research represented a first attempt in exploring and comparing the psychosocial and behavioral factors that determine clinical self-reported adherence among Italian and Polish older chronic patients dealing with hypertension. Findings showed positive beliefs about medications, positive perception of physicians’ communication skills, high perceived medication-related social support, as well as lower intentional non-adherence and adherence to refill medications to be significant predictors of high patients’ self-efficacy influencing adherent behaviors. Adopting a patient reported adherence approach, clinical practice and future research should take into account these factors in order to better clarify and deepen the role of the antecedents of adherence and, thus, to develop empirical assessments and psychosocial and behavioural interventions aimed to improve pharmacological and non-pharmacological adherence in this clinical population.

Funding Statement

This work was partially supported by the “Ricerca Corrente” funding scheme of the Ministry of Health (Italy), and partly financed by the Medical University of Wroclaw (Poland).

Disclosure

The authors declare no conflicts of interest regarding this study.