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The objectives of this study are to ascertain the determinants of quality of life (QoL) and hand function among persons with hand osteoarthritis (OA) and to assess the influence of hand function on QoL among persons with OA.Two hundred and four participants in a clinical trial completed the baseline assessment. Demographic, socioeconomic, QoL (AqoL-4D), hand function (Functional Index for Hand Osteoarthritis, FIHOA), pain assessment, radiographic and clinical characteristics of participants were measured using standard methods. Univariate and multivariate analyses were performed to evaluate potential associations.We studied 204 participants (76% female, age 65.63 ± 8.13 years, body mass index 28.7 ± 6.5 kg/mThe results indicate increasing impairment in hand function decreases the QoL of persons with hand OA. Some determinants were significantly associated with hand function and QoL. Determinants related to hand functions may be modifiable. In future, appropriate intervention strategies should be implemented, and further studies should be conducted to identify the effectiveness of those interventions.

Background Thumb osteoarthritis (OA) is a common and disabling condition. Adherence to prescribed conservative interventions may affect outcomes of thumb OA trials. Purpose The aim of the study was to determine whether baseline pain and hand function is associated with treatment adherence over 12 weeks in participants with thumb base OA. Study design Observational cohort study nested within a randomized-controlled trial. Methods Ninety-four participants from the intervention group were included in the analysis. Baseline pain and function were assessed using a 100 mm Visual Analogue Scale and the Functional Index for Hand Osteoarthritis questionnaire (0-30), respectively. Participants received a combination of treatments including education, orthosis, hand exercises, and topical anti–inflammatory gel. Adherence was measured using a daily self-reported diary. Participants were classified as non–adherent, partially adherent or fully adherent if they completed none, 1 and/or 2 or all 3 of the interventions as prescribed. Ordinal logistic regression modelling was performed. Results At 12-week follow-up, half of the participants were fully adherent to the treatments (n = 46, 48.9%), 30.9% of participants were partially adherent (n = 29) and 20.2% were non–adherent (n = 19, 20.2%). High baseline pain was a significantly associated with better adherence in the unadjusted model [OR = 3.15, 95% CI (1.18, 8.42)] and adjusted model [OR = 3.20, 95% CI (1.13, 8.20)]. Baseline function was not associated with adherence [OR = 1.03, 95% CI (0.47, 2.23)]. Conclusion High baseline pain was associated with better adherence in participants with thumb base OA. Higher baseline functional impairment was not associated with better adherence.

To explore the person-level predictors of adherence to a step count intervention following total knee replacement (TKR).Prospective cohort study, nested within the PATHway trial.Participants who had recently undergone TKR were recruited from 3 rehabilitation hospitals in Sydney, Australia, for the main trial. Only data from participants who were randomized to the TKR intervention group were analyzed. Participants in the intervention group (n = 51) received a wearable tracker to monitor the number of steps taken per day. Step count adherence was objectively measured at 3 months as the number of steps completed divided by the number prescribed and multiplied by 100 to express adherence as a percentage. Participants were classified into 4 groups: withdrawal, low adherence (0%-79%), adherent (80%-100%), and100% adherent. Ordinal logistic regression was used to identify which factors predicted adherence to the prescribed step count.Of the 51 participants enrolled, nine (18% of 51) withdrew from the study before 3 months. Half of participants were classified as100% adherent (n = 24%, 47%). Ten were classified as low adherence (20%), and 8 participants were classified as adherent (16%). In the univariable model, lower age (OR 0.90; 95% CI 0.83-0.97), higher patient activation (OR 1.03; 95% CI 1.00-1.06), and higher technology self-efficacy (OR 1.03; 95% CI 1.00-1.06) were associated with higher adherence. After adjusting for age in the multivariable model, patient activation and technology self-efficacy were not significant.Younger age, higher patient activation, and higher technology self-efficacy were associated with higher adherence to a step count intervention following TKR in the univariable model. Patient activation and technology self-efficacy were not associated with higher adherence following adjustment for age.

To determine how physically active individuals are following total knee replacement (TKR) and how accurately they self-report their step count adherence compared to objective measure following TKR.Observational cohort study, nested within the PATHway randomised-clinical trial. Participants (n = 102) who had recently undergone TKR were recruited for the main trial. Only participant data from the intervention group were used for this study (n = 51). Participants in the intervention group received an activity tracker to monitor their physical activity and fortnightly health-coaching sessions for 3 months. Adherence was objectively measured as percentage of steps completed divided by the amount prescribed by the health coach. Participants were asked to self-report their adherence on a 1-10 numerical rating scale during health coaching sessions.Data from 44 participants were available, resulting in a total of 224 paired measurements. Participant step count increased over the first 8 weeks of follow-up, and plateaued from 8 weeks onwards at approximately 7500 steps/day. About two-thirds (65.8%) of participants accurately self-reported their step count adherence up until 12 weeks, the remaining one-third (34.2%) underestimated their adherence. Paired t-tests demonstrated statistically significant differences between the paired measurements from weeks 2 to 10.Participants were generally active and completed the step goal most occasions. Two-thirds accurately self-reported their step goal adherence. Self-reported measures should be combined with an objective measure of adherence for greater accuracy. A further understanding of how people engage with activity trackers can be used to promote behaviour change in physiotherapy-led interventions.