ORIGINAL PAPER
Frequency and factors associated with loss to follow-up in newly diagnosed rheumatoid arthritis patient: a single-centre study
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Rheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Indonesia – Cipto Mangunkusumo General Hospital Jakarta, Indonesia
Submission date: 2024-07-21
Final revision date: 2024-09-16
Acceptance date: 2024-10-05
Publication date: 2024-12-24
Corresponding author
Rudy Hidayat
Rheumatology Division, Department of Internal Medicine, Faculty of Medicine, Universitas Indonesia – Cipto Mangunkusumo General Hospital Jakarta, 71 Diponegoro St., Central Jakarta, postcode: 10430, Indonesia
Reumatologia 2024;62(6):405-411
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ABSTRACT
Introduction:
Lost to follow-up (LTFU) rheumatoid arthritis (RA) patients constitute a population that potentially experiences worsening of their disease. This study aimed to determine the frequency of LTFU and the possible associated factors in newly diagnosed RA patients in our outpatient clinic.
Material and methods:
A retrospective cohort study was conducted using 260 newly diagnosed RA patients. Those who did not attend their scheduled appointment for more than 3 months were defined as LTFU. We used a Likert scale questionnaire to explore the perception and the possible reasons for LTFU by phone. Bivariate and multivariate logistic regression analyses were performed to explore the factors associated with LTFU.
Results:
There were 65 patients (25%) who were LTFU. We contacted 34 of them and selected 34 age-matched routinely followed-up (RFU) patients as controls. The reasons for LTFU were distance from house to hospital constraints (76%), busy (56%), transportation constraints (38%), dissatisfaction with the outpatient clinic service (21%), lack of information about their disease (18%), having other comorbidities that compelled them to go to another department’s clinic (15%), difficulties understanding the clinic registration flow system (9%), and having minimal symptoms (6%). Using the c2 test, we found that transportation constraints and busyness were significantly different between LTFU and routinely followed up patients (p-value 0.008 and 0.200, respectively). After multivariate analysis, transportation constraints remained a significant factor (OR = 6.397; 05% CI: 1.622–25.228).
Conclusions:
Among newly diagnosed RA patients, 65 (25%) were LTFU. Transportation constraints and busyness were factors associated with LTFU. Further multivariate analysis showed that the factor transportation constraints was significantly associated with LTFU of RA patients in this study.
REFERENCES (20)
1.
Aletaha D, Alasti F, Smolen JS. Optimisation of a treat-to-target approach in rheumatoid arthritis: strategies for the 3-month time point. Ann Rheum Dis 2016; 75: 1479–1485, DOI: 10.1136/annrheumdis-2015-208324.
2.
van der Heijde D, Keystone EC, Curtis JR, et al. Timing and magnitude of initial change in disease activity score 28 predicts the likelihood of achieving low disease activity at 1 year in rheumatoid arthritis patients treated with certolizumab pegol: a post-hoc analysis of the RAPID 1 trial. J Rheumatol 2012; 39: 1326–1333, DOI: 10.3899/jrheum.111171.
3.
Garcia Popa-Lisseanu MG, Greisinger A, Richardson M, et al. Determinants of treatment adherence in ethnically diverse, economically disadvantaged patients with rheumatic disease. J Rheumatol 2005; 32: 913–919.
4.
Tien YC, Chiu YM, Liu MP. Frequency of Lost to Follow-Up and Associated Factors for Patients with Rheumatic Diseases. PLoS One 2016; 11: e0150816, DOI: 10.1371/journal.pone.0150816.
5.
Berghofer G, Schmidl F, Rudas S, Steiner E, Schmitz M. Predictors of treatment discontinuity in outpatient mental health care. Soc Psychiatry Psychiatr Epidemiol 2002; 37: 276–282, DOI: 10.1007/s001270200020.
6.
Buys KC, Selleck C, Buys DR. Assessing Retention in a Free Diabetes Clinic. The Journal for Nurse Practitioners 2019; 15: 301–-305.e1, DOI: 10.1016/j.nurpra.2018.12.003.
7.
Moon E, Chang JS, Kim MY, et al. Dropout rate and associated factors in patients with bipolar disorders. J Affect Disord 2012; 141: 47–54, DOI: 10.1016/j.jad.2012.02.025.
8.
Dantas LF, Fleck JL, Cyrino Oliveira FL, Hamacher S. No-shows in appointment scheduling – a systematic literature review. Health Policy (New York) 2018; 122: 412–421, DOI: 10.1016/ j.healthpol.2018.02.002.
9.
Mahmood S, Jalal Z, Hadi MA, Shah KU. Association between attendance at outpatient follow-up appointments and blood pressure control among patients with hypertension. BMC Cardiovasc Disord 2020; 20: 458, DOI: 10.1186/s12872-020-01741-5.
10.
Boyd ND, Naasan G, Harrison KL, et al. Characteristics of people with dementia lost to follow-up from a dementia care center. Int J Geriatr Psychiatry 2022; 37, DOI: 10.1002/gps.5628.
11.
Allaire SH, Anderson JJ, Meenan RF. Reducing work disability asso- ciated with rheumatoid arthritis: identification of additional risk factors and persons likely to benefit from intervention. Arthritis Care Res 1996; 9: 349–357, DOI: 10.1002/1529-0131(199610)9:5<349: :aid-anr1790090503>3.0.co;2-g.
12.
Schneider M, Manabile E, Tikly M. Social aspects of living with rheumatoid arthritis: a qualitative descriptive study in Soweto, South Africa – a low resource context. Health Qual Life Outcomes 2008; 6: 54, DOI: 10.1186/1477-7525-6-54.
13.
Starbird LE, DiMaina C, Sun CA, Han HR. A Systematic Review of Interventions to Minimize Transportation Barriers Among People with Chronic Diseases. J Community Health 2019; 44: 400–411, DOI: 10.1007/s10900-018-0572-3.
14.
Parlindungan F, Sumariyono S, Hidayat R, et al. Learning from the COVID-19 pandemic: health care disturbances and telemedicine as an alternative rheumatology practice in Indonesia. BMC Health Serv Res 2023; 23: 451, DOI: 10.1186/s12913-023-09389-5.
15.
Ahmed S, Grainger R, Santosa A, et al. APLAR recommendations on the practice of telemedicine in rheumatology. Int J Rheum Dis 2022; 25: 247–258, DOI: 10.1111/1756-185X.14286.
16.
Thomas BE, Suresh C, Lavanya J, et al. Understanding pretreatment loss to follow-up of tuberculosis patients: an explanatory qualitative study in Chennai, India. BMJ Glob Health 2020; 5: e001974, DOI: 10.1136/bmjgh-2019-001974.
17.
Geng EH, Bangsberg DR, Musinguzi N, et al. Understanding Reasons for and Outcomes of Patients Lost to Follow-Up in Antiretroviral Therapy Programs in Africa Through a Sampling-Based Approach. J Acquir Immune Defic Syndr 2010; 53: 405–411, DOI: 10.1097/QAI. 0b013e3181b843f0.
18.
Gust DA, Mosimaneotsile B, Mathebula U, et al. Risk Factors for Non-Adherence and Loss to Follow-Up in a Three-Year Clinical Trial in Botswana. PLoS One 2011; 6: e18435, DOI: 10.1371/journal.pone.0018435.
19.
Jain S, Higashi RT, Salmeron C, Bhavan K. The Intersection of Childcare and Health Among Women at a U.S. Safety-Net Health System During the COVID-19 Pandemic: A Qualitative Study. Health Equity 2024; 8: 32–38, DOI: 10.1089/heq.2023. 0068.
20.
Alvarez KS, Bhavan K, Mathew S, et al. Addressing childcare as a barrier to healthcare access through community partnerships in a large public health system. BMJ Open Qual 2022; 11: e001964, DOI: 10.1136/bmjoq-2022-001964.
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