Nursing people with osteoarthritis

The Effect of St. John's Wort Oil (Hypericum Perforatum L.) in Knee Osteoarthritis: A Randomized Controlled and Qualitative Study

BACKGROUND

Reducing pain and improving physical function are critical in the treatment of osteoarthritis. Although individuals use St. John's Wort oil to relieve pain due to osteoarthritis, no scientific research has been found investigating its effectiveness.

AIM

This study investigated the effect of St. John's Wort oil on pain intensity and physical functions in people with knee osteoarthritis.

METHODS

This study adopted a single-blind, randomized, placebo-controlled, and qualitative mixed design. The sample consisted of 60 patients randomized into intervention (n = 30) and placebo control (n=30) groups. The experimental group participants were treated with topically St. John's Wort oil three times a week for 3 weeks, and the placebo control group participants were treated with olive oil three times a week for 3 weeks. Quantitative data were collected using a patient identification form, the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and the Visual Analogue Scale. Qualitative data were collected through semi-structured interviews.

RESULTS

The experimental group had a significantly lower mean Visual Analog Scale score in the first, third, and fourth follow-ups than the control group. The experimental group had significantly lower mean WOMAC-pain, WOMAC-stiffness, and WOMAC-physical function subscale scores in the last follow-up than in the first follow-up. The qualitative data agreed with the quantitative data.

CONCLUSIONS

The results show that St. John's Wort oil helps people with knee osteoarthritis feel less pain and become physically more active. Additional research is warranted to better understand the effect of St. John's Wort oil on pain intensity and physical functions in people with knee osteoarthritis.

The Role of Web-Based Adaptive Choice-Based Conjoint Analysis Technology in Eliciting Patients' Preferences for Osteoarthritis Treatment

OBJECTIVE

To assess the feasibility of using adaptive choice-based conjoint (ACBC) analysis to elicit patients' preferences for pharmacological treatment of osteoarthritis (OA), patients' satisfaction with completing the ACBC questionnaire, and factors associated with questionnaire completion time.

METHODS

Adult patients aged 18 years and older with a medical diagnosis of OA, experiencing joint pain in the past 12 months, and living in the Northeast of England participated in the study. The participants completed a web-based ACBC questionnaire about their preferences regarding pharmaceutical treatment for OA using a touchscreen laptop independently, and accordingly, the questionnaire completion time was measured. Moreover, the participants completed a pen-and-paper feedback form about their experience in completing the ACBC questionnaire.

RESULTS

Twenty participants aged 40 years and older, 65% females, 75% had knee OA, and suffering from OA for more than 5 years participated in the study. About 60% of participants reported completing a computerized questionnaire in the past. About 85% of participants believed that the ACBC task helped them in making decisions regarding their OA medications, and 95% agreed or strongly agreed that they would be happy to complete a similar ACBC questionnaire in the future. The average questionnaire completion time was 16 min (range 10-24 min). The main factors associated with longer questionnaire completion time were older age, never using a computer in the past, and no previous experience in completing a questionnaire.

CONCLUSIONS

The ACBC analysis is a feasible and efficient method to elicit patients' preferences for pharmacological treatment of OA, which could be used in clinical settings to facilitate shared decision-making and patient-centered care. The ACBC questionnaire completion consumes a significantly longer time for elderly participants, who never used a computer, and never completed any questionnaire previously. Therefore, the contribution of patients and public involvement (PPI) group in the development of the ACBC questionnaire could facilitate participants' understanding and satisfaction with the task. Future research including patients with different chronic conditions may provide more useful information about the efficiency of ACBC analysis in eliciting patients' preferences for osteoarthritis treatment.

Systematic Review of Studies Using Conjoint Analysis Techniques to Investigate Patients' Preferences Regarding Osteoarthritis Treatment

BACKGROUND

The use of conjoint analysis (CA) to elicit patients' preferences for osteoarthritis (OA) treatment has the potential to contribute to tailoring treatments and enhancing patients' compliance and adherence. This review's main aim was to identify and summarise the evidence that used conjoint analysis techniques to quantify patient preferences for OA treatments.

METHODS

A comprehensive search strategy was conducted using electronic databases and hand reference checks. Databases were searched from their inception until 10th June 2019. All OA and CA related terms were used to conduct the search. The authors reviewed the papers and used the International Society of Pharmacoeconomics and Outcomes Research (ISPOR) checklist to assess the quality of the included studies.

RESULTS

The search identified 534 records. Sixteen records were selected for full-text review and quality assessment and all were included in the narrative data synthesis. All included studies suggested that the severity of symptoms influenced the patients' preference for OA treatment. All included studies recognised CA as a useful method to investigate patients' preferences concerning OA treatment.

CONCLUSION

Patients preference for OA treatment is driven by the severity of patients' symptoms and the desire to avoid treatment side effects and CA is a useful tool to investigate patients' preferences for OA treatment.

Patients' Preferences Regarding Osteoarthritis Medications: An Adaptive Choice-Based Conjoint Analysis Study

BACKGROUND AND OBJECTIVE

Osteoarthritis (OA) patients consider ranges of harms and benefits offered by alternative pharmaceutical treatments. Choice-based experiments provide a mechanism to value outcomes, but they can pose a significant burden on respondents. Thus, the number of attributes studied is typically artificially restricted. We used an adaptive choice-based conjoint (ACBC) method that allows the inclusion of more attributes affecting patients' preferences regarding non-invasive pharmaceutical treatment for OA than traditional choice-based technique to better understand the trade-offs that OA patients consider, without increasing respondents' burden.

METHODS

After consulting with OA patients and public involvement (PPI) group, we constructed an online ACBC survey consisting of 9 attributes and a total of 31 levels (two benefits, four harms and three concerning the availability and modality of treatment). A cohort of patients with a diagnosis of OA and reporting joint pain within the last 12 months were recruited.

RESULTS

Our study (n 43) showed that the most important factor in choosing OA medication was the risk of heart attacks and strokes (19.5%), followed by the risk of addiction (18.4%), risk of kidney and liver side effects (17.5%), risk stomach side effects (14.6%), availability (11.6%), frequency of use (5.3%), pain reduction (5%), way of taking medication (4.6%) and mobility improvement (3.5%).

CONCLUSION

ACBC provides a mechanism for understanding patient preferences that address the limitations of traditional choice-based experiments. For OA patients, avoidance of the risk of side effects were the most affecting medication choices, and reductions in pain and mobility were the least. Clinicians discussing options for medication with OA patients should discuss the potential trade-offs in terms of risks and benefits.