Introduction
Treatment of rheumatoid arthritis (RA) aims to achieve remission or low disease activity (treat-to-target) in order to stop or minimise joint erosion, normalise functioning and improve the patients’ quality of life.1 Hence, important elements in the RA treatment strategy such as early diagnosis and initiation of pharmacological treatment, quick escalation of drugs to a clinically effective level and adjustment of the dose when there are signs of disease activity are considered important.1 This requires close monitoring of disease activity and adjustments of the pharmacological therapy in patients with RA throughout the course of their disease. In patients with moderate or high disease activity, it is recommended that measurements of disease activity are obtained monthly and in patients with sustained low disease activity or remission every 6 months.1
Increased life expectancy means that more people will develop RA in the future and thus need treatment and follow-up. Even as treatment is generally becoming more effective and better tolerated, many countries experience an unmet demand for rheumatologists coinciding with a demand for greater cost-effectiveness. Thus, different alternatives to conventional outpatient physician-led follow-up have been investigated, for example, to allow nurse-led consultations to become embedded in the follow-up of RA in daily clinical practice.2–5 Furthermore, it has been recommended that nurses should participate in disease management to improve patient-preferred outcomes, such as fatigue, throughout the disease course.6 It has also been recommended that patients with RA should have access to a nurse throughout the course of their disease to improve their understanding and disease management and for enhanced satisfaction.6 Studies have shown that nurse-led care may contribute to promote patients’ self-management skills and thus their level of self-efficacy.7 The increasing involvement of nurses in the follow-up of patients with RA has been recognised and described in recent European treatment recommendations.1 The essential question remains, however, whether the involvement of nurses in the follow-up care can achieve the same degree of disease control, indicated by DAS-28, as when the follow-up is performed by physicians alone. In addition, it is interesting whether nurses can contribute to enhanced patient satisfaction and self-efficacy. These questions need a systematic evaluation of the evidence. Hence, our objective was to conduct a systematic review and meta-analysis to investigate the efficacy of embedded nurse-led versus conventional physician-led follow-up in the treat to target strategy in RA.
Methods
Search strategy
A systematic literature search was performed in the following electronic databases: MEDLINE (Ovid), Embase (Ovid), the Cochrane Central Register of Controlled Trials (CENTRAL), PsycINFO (ProQUEST), CINAHL (EBSCO), Web of Science (Thomson Reuters) and Scopus (Elsevier). There was no time limit back in time. The search ended in December 2016. We searched for all randomised controlled trials (RCTs) using the methodological filter for RCTs outlined in the Cochrane Handbook8; variations of this filter, or other validated filters, were used for other databases.
A search for possible ongoing trials was performed through ClinicalTrials.gov, ISRCTN registry, UK Clinical, Research Network Study Portfolio and MRC Clinical Trials Unit. Dissertations and theses were located through ProQuest Dissertations & Theses Global. Reference lists of relevant articles and conference proceedings were searched manually, and the included studies were also made subject to citation analysis in Web of Science. No language restrictions were imposed, and databases were searched from inception date and forward. Protocol of the searches in the different databases can be found as online supplementary file 1 .
Selection of studies
All the included studies were RCTs reporting on the effect of nurse-led follow-up in managing disease control in RA compared with physician-led follow-up. Patients with RA were diagnosed according to the American College of Rheumatology 1997/2010 criteria.9 10 This implied nurse-led follow-up of outpatients with RA in hospitals where nurses performed assessment of tender and swollen joints, evaluated blood samples and monitored the medical treatment in order to assess the patients’ disease activity.
Outcome measures
The primary outcome was disease activity indicated by Disease Activity Score (DAS)-28 C reactive protein (CRP) or erythrocyte sedimentation rate (ESR) or DAS-44.11 12 The DAS-28 CRP/ESR combines single measures into an overall continuous measure of disease activity in RA and includes a 28 tender and swollen joint count together with either CRP or ESR and a patient global assessment of disease activity.12 DAS-44 includes a 44-swollen joint count, CRP/ESR and a patient global assessment.12
Secondary outcomes were patient satisfaction, physical disability, quality of life, fatigue and self-efficacy.
Data extraction and management
Each potentially relevant study was independently reviewed by two reviewers (all studies were reviewed by ADT and by JP, BAE or IKR). Disagreement was resolved through discussion until consensus was obtained. From each selected trial, the following data were collected: general study information (author information, affiliation, country and funding) number of randomised individuals for each treatment group, characteristics of the participants in the intervention and control groups, type of intervention, type of comparator, follow-up times (ie, longest follow-up period), disease activity, level of physical disability, level of fatigue, self-efficacy and patient satisfaction. We also extracted the number of subjects who withdrew from the study (dropouts) for each treatment group. Data were extracted using the web-based software platform Covidence (www.covidence.org).
Assessment of risk of bias and overall quality
We used the Cochrane 'Risk of Bias' tool13 to assess bias in six domains: random sequence generation, allocation concealment, blinding to participants, blinding to assessment, withdrawals (attrition bias) and selective outcome reporting.14 Risk of bias was assessed at the level of each outcome, independently by two reviewers (ADT and by JP, BAE or IKR). In addition to risk of bias, the ‘Grading of Recommendations Assessment, Development and Evaluation’ (GRADE) was used to evaluate the total body of evidence by further assessment of three domains: inconsistency (the variation across studies), indirectness (ie, differences in patient population) and imprecision (95% confidence interval (CI)).15
Statistical methods
Heterogeneity was tested using the χ2 test, and inconsistency was evaluated via the I2 index, which expresses the percentage of total variation across studies.16 Data were entered into Review Manager 5.3 (http://tech.cochrane.org), and a meta-analysis was performed as a random effect model by default, because we expected the study populations to vary regarding factors that might influence our primary outcome, DAS-28, that is, regarding underlying treatment.17 All outcomes were continuous. Disease activity was measured by DAS-28 in all studies allowing change from baseline until end of follow-up to be estimated by calculating mean difference (MD) with 95% CI. All secondary outcomes (patient satisfaction, self-efficacy, physical activity and fatigue) were measured on different scales across the studies (table 1) and were thus estimated by standard mean difference (SMD) with 95% CI. When outcomes within the same concept are measured on different scales, SMD treats effect as a unit less measure by dividing the difference in mean changes from baseline until the end of follow-up by the pooled SD.18
Stratified analyses were performed according to the duration of the observation period (12 months vs >12 months). Forest plots were used to assess the results. A two-sided p value<0.05 was considered to be statistically significant.