Understanding adherence to physiotherapy: Findings from an experimental simulation and an observational clinical study

This article reports two studies assessing the influence of self-efficacy, outcome expectancies and aversive feedback on different aspects of adherence. Study 1 employed a computer simulation of physiotherapy to test experimentally the effects of aversive feedback (i.e., loud noise) experienced during simulated therapy on adherence behaviour in a student population. Study 2 examined whether similar effects of aversive feedback (i.e., pain) experienced during physiotherapy in a clinical setting would be observed in a longitudinal questionnaire study of predictors of adherence. In both studies, self-efficacy and outcome expectancies were assessed at baseline and after experience of the task (performing simulated or actual physiotherapy). Study 1 found that self-efficacy and outcome expectancies predicted persistence with simulated physiotherapy (i.e., completing the experimental session), whereas aversive feedback influenced adherence during sessions (i.e., correct response rate). Study 2 found that self-efficacy and outcome expectancies predicted persistence with actual physiotherapy (i.e., completing the prescribed number of sessions). Aversive feedback and outcome expectancies influenced adherence during sessions. We conclude that different factors predict different aspects of adherence behaviour. It is therefore important to measure both persistence over time and adherence during sessions, and to investigate the predictors of each dimension of adherence.     

Adherence,expectations and the placebo response: Why is good adherence to an inert treatment beneficial?

Objective: The current study sought to better understand why good adherence to a placebo treatment has been reliably associated with health benefits. We proposed a model where initial expectations shape adherence, which then influences subsequent expectations that affect placebo response. Design: Seventy-two participants were told that they were enrolling in a study of physical activity and memory, and were asked to increase their physical activity by 35% for two weeks (placebo treatment). Main outcome measures: Adherence to this physical activity target was measured by pedometer. Expectations and short-term memory (free recall) were assessed before and after physical activity. Results: Initial expectations predicted adherence to physical activity (r = .27, p < .03), but adherence did not predict subsequent expectations (r = .06, p = .60). Testing a multi-step meditational model revealed that initial expectations predicted better memory even after controlling for adherence, subsequent expectations, baseline memory and gender (c’ = 1.10, 95% CI = .46–1.74). Stronger expectations for memory improvement predicted better memory performance, but adherence and later expectations did not mediate this association. Conclusions: Good adherence to a placebo may reflect strong treatment expectations which may convey benefits by enhancing the non-specific effects of treatment.     

Concordance between patients' information preferences and general practitioners' perceptions

Brief planning interventions, usually delivered within paper and pencil questionnaires, have been found to be effective in changing health behaviours. Using a double-blind randomised controlled trial, this study examined the efficacy of two types of planning interventions (action plans and coping plans) in increasing physical activity levels when they are delivered via the internet. Following the completion of self-reported physical activity (primary outcome) and theory of planned behaviour (TPB) measures at baseline, students (N = 1273) were randomised into one of four conditions on the basis of a 2 (received instructions to form action plans or not) × 2 (received instructions to form coping plans or not) factorial design. Physical activity (primary outcome) and TPB measures were completed again at two-month follow-up. An objective measure (attendance at the university's sports facilities) was employed 6 weeks after a follow-up for a duration of 13 weeks (secondary outcome). The interventions did not change self-reported physical activity, attendance at campus sports facilities or TPB measures. This might be due to low adherence to the intervention protocol (ranging from 58.8 to 76.7%). The results of this study suggest that the planning interventions under investigation are ineffective in changing behaviour when delivered online to a sample of participants unaware of the allocation to different conditions. Possible moderators of the effectiveness of planning interventions in changing health behaviours are discussed.     

Assessing theoretical predictors of long-term medication adherence: Patients’ treatment-related beliefs,experiential feedback and habit development

Patient non-adherence to medication is a pervasive problem that contributes to poor patient health and high healthcare costs. Basic research and interventions have focused thus far on behaviour initiation factors, such as patients’ illness and treatment beliefs. This paper proposes two processes that occur after behaviour initiation that are theorised to contribute to prediction of long-term medication adherence: ‘coherence’ of patients’ beliefs from experiences with treatment and habit development. Seventy-one hypertensive patients reported their treatment-related beliefs, experiences related to treatment efficacy and medication-taking habit strength in a baseline interview. Patients then used an electronic monitoring pill bottle for approximately one month. Patients’ medication habit-strength was the strongest predictor of all adherence measures, explaining 6–27% incremental variance in adherence to that explained by patients’ treatment-related beliefs. Patients’ beliefs and experiences did not predict overall adherence, even for patients with ‘weaker’ habits. However, patients’ experiences were found to predict intentional non-adherence and habit strength was found to predict unintentional adherence. Practitioners may assess patients’ medication-taking habits to get an initial view of their likely adherence to long-term medications. Future research should assess the current theoretical predictions in a hypertension inception sample and in populations with symptomatic conditions.     

养老机构冠心病患者服药依从性现状及影响因素

采用Morisky推荐的MAQ对锦州市养老机构中153名冠心痛患者的服药依从性进行测评,探讨冠心病患者的服药依从性现状及影响因素.结果显示,养老机构冠心病患者服药依从性差的比率为81.7％,影响服药依从性的因素为文化程度、服药种类、医疗背景、入住年限.养老机构的护理人员应对上述因素给予更多的关注,从而提高其服药依从性,进而提升其临床治疗效果.     

AN APPOINTMENT-KEEPING IMPROVEMENT PACKAGE FOR OUTPATIENT PEDIATRICS: SYSTEMATIC REPLICATION AND COMPONENT ANALYSIS

Child health-care appointments that are not kept are an important pediatric problem. Previous research has shown that reducing effort (with a parking pass) and reminding patients (with mailed and telephone reminders) significantly improved appointment keeping for first-time and patient-scheduled appointments. This study, using a posttest-only group design, evaluated the effects of various combinations of that intervention applied to clinic-scheduled follow-up appointments. All combinations of the intervention significantly increased cancellations, but none increased appointments kept or decreased appointments not kept significantly. Log linear analyses showed that the lag time between scheduling and the appointment significantly influenced appointment keeping. The results suggest that if clinics want to increase cancellations, a mailed reminder and effort reduction are sufficient. To increase appointment keeping, other interventions, such as reduced lag time, may be necessary.     

Correlates of Regimen Adherence in Cystic Fibrosis

The present investigation studied psychological and familial factors associated with self-care adherence in a sample of 50 children (ages 9 to 17 years) with cystic fibrosis (CF). Children and their parents were recruited through an outpatient pediatric pulmonary medicine clinic at a metropolitan children's hospital. Participants were interviewed and administered measures of family behavior and child psychological variables. Regimen adherence was measured using a telephone interview approach across three occasions per participant. Hierarchical multiple regression with age, perceived family behaviors, health locus of control, and self-competency as predictors, accounted for 53.8% of the variance in regimen adherence. Findings suggest that higher self-esteem and younger age are related to higher rates of regimen adherence among children with CF.     

The problem of parental nonadherence in clinical behavior analysis: effective treatment is not enough

Applied behavior analysts have developed many effective interventions for common childhood problems and have repeatedly demonstrated that childhood behavior responds to properly managed contingencies. The success of these interventions is dependent upon their basic effectiveness, as demonstrated in the literature, their precise delivery by the clinician to the parent, and adherence to or consistent implementation of the intervention. Unfortunately, arranging the consistent implementation of effective parenting strategies is a significant challenge for behavior analysts who work in homes, schools, and outpatient or primary care clinics. Much has been done to address issues of adherence or implementation in the clinic, but relatively little has been done to increase our understanding of the contingencies that affect parental adherence beyond the supervised clinic environment. An analysis of the contingencies that strengthen or weaken adherence might suggest strategies to improve implementation outside the clinic setting. What follows is an analysis of the variables associated with adherence by parents to recommendations designed to solve common childhood problems.     

Patterns of Parental Adherence and the Association to Child and Parenting Outcomes Following a Multicomponent School-Home Intervention for Youth With ADHD

The goal of the present study was to evaluate the role of parent adherence in the Collaborative Life Skills (CLS) program, a multicomponent school-home intervention, for predicting child and parenting outcomes. A sample of 129 children (63% male; M age = 8.22, SD = 1.10; grades 2–5) with attention-deficit/hyperactivity disorder (ADHD) and their parents participated in CLS, which included 10 weekly behavioral parent training group sessions. Each week, parents provided information on their CLS skill use between sessions (at home) as part of the intervention. Outcome measures included parent and teacher ratings of child behavior and parenting at post-intervention and 6 months follow-up. Growth mixture models examining weekly parent skill use trajectories throughout the intervention significantly predicted parent- and teacher-reported outcomes including parent-rated child behavior, teacher-rated academic competence, and positive parenting behaviors. Fifty-two percent of parents displayed moderate skill use throughout the intervention, whereas the remaining parents had either low (20%) or high (28%) initial levels of use but demonstrated high skill utilization by the middle of the intervention. Results highlight the importance of examining individual differences in parents between session strategy use for behavioral parent training interventions targeting child and parenting outcomes.