SMS Reminders and Medication Adherence in Schizophrenia
This paper addresses a PICOT question examining whether SMS reminders and notifications are more effective than standard therapy in reducing medication non-adherence among patients with schizophrenia. Drawing on six empirical studies spanning multiple patient populations and countries, the paper compares studies across five dimensions: participants and target populations, study designs, data collection methods, study variables, and findings. All six studies found that text message reminders significantly improved medication adherence. The paper then discusses clinical implications for nursing practice, including the importance of tailoring messages to patient needs, protecting confidentiality, and combining SMS interventions with family-based support for patients with schizophrenia.
- PICOT Question and Study Overview: Introduces PICOT question and comparison framework
- Study Participants and Target Population: Compares populations and settings across six studies
- Study Design and Data Collection Methods: Contrasts qualitative and quantitative study designs
- Study Variables and Their Measurement: Examines outcome variables and adherence measures used
- Study Findings: Summarizes adherence and clinical outcome results
- Clinical Significance for Nursing Practice: Applies findings to nursing and patient care strategies
- Answer to the PICOT Question: Concludes SMS reminders outperform standard care
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What makes this paper effective
- The paper maintains a clear PICOT framework throughout, anchoring each section back to the central clinical question about schizophrenia patients and SMS reminders.
- It systematically compares six diverse studies across five well-defined dimensions, providing a structured and balanced evidence synthesis rather than a loose literature summary.
- The clinical implications section moves meaningfully beyond findings to offer actionable nursing recommendations, including message personalization, confidentiality safeguards, and family-based integration.
Key academic technique demonstrated
This paper demonstrates comparative evidence synthesis using a PICOT question as an organizational scaffold. Rather than summarizing each study independently, the author groups studies by shared characteristics — design, population, variables, and outcomes — enabling direct cross-study comparisons. This technique is essential in evidence-based nursing practice and reflects competency in translating research findings into clinical recommendations.
Structure breakdown
The paper opens by stating the PICOT question, then systematically compares studies across four analytical categories (population, design, variables, findings). It transitions to a clinical significance section applying findings to nursing practice, and closes with a direct answer to the PICOT question. This structure mirrors the evidence-based practice (EBP) framework commonly used in graduate nursing coursework.
PICOT Question and Study Overview
PICOT Question: Is the use of SMS reminders and notifications more effective than standard therapy in reducing the occurrence of medication non-adherence among patients with schizophrenia?
This paper compares six reviewed studies based on five key areas: participants and target population, study designs, study variables, research methods, and study findings. The evidence is then applied to nursing practice, and a final answer to the PICOT question is provided.
Study Participants and Target Population
The reviewed studies differed in their target populations and study sites. One study (Xu et al., 2019) was conducted on patients with schizophrenia, while two (Chiaranai et al., 2023; Belete et al., 2023) focused on patients with type II diabetes mellitus. Two other studies targeted patients with coronary heart disease (Zhao et al., 2019; Park et al., 2020), while one study investigated individuals on antiretroviral therapy (Sherman et al., 2018).
The study settings also differed across all six studies. Xu et al. (2019) was based in nine villages in Wuhan, China, while Zhao et al. (2019) was a systematic review and meta-analysis synthesizing data from trials carried out in five countries, including two developing countries. Belete et al. (2023) brought together data from trials conducted in eight countries, including South Africa, Egypt, France, Indonesia, the USA, Japan, India, and the Netherlands. One study was based in Thailand, while the other two were based in California and Florida in the United States.
Study Design and Data Collection Methods
Two of the studies (Sherman et al., 2018; Park et al., 2020) were qualitative inquiries, while four were quantitative studies. Both qualitative studies made use of primary data — one using focus group discussions and the other using face-to-face structured interviews to collect data. Two of the quantitative studies (Chiaranai et al., 2023; Xu et al., 2019) were randomized controlled trials with a case-control approach, while two (Zhao et al., 2019; Belete et al., 2023) were systematic reviews and meta-analyses of randomized controlled trials. The two randomized controlled trials used primary methods of data collection, including the administration of adherence surveys and observation techniques to gather research data.
Study Variables and Their Measurement
The primary similarity across all six studies is that medication adherence served as the outcome variable and text message reminders or standard care as the independent variable. However, differences exist in the way the studies measured medication adherence, and some studies included multiple outcome variables. Two of the quantitative studies investigated the impact of text message reminders and alerts on both medication adherence and patients' clinical outcomes (Zhao et al., 2019; Xu et al., 2019), while one (Chiaranai et al., 2023) investigated the effect of texts on medication adherence and quality of life. Only one study investigated the effect of text message reminders solely on medication adherence among study participants (Belete et al., 2023). Both qualitative studies sought to understand participants' experiences and attitudes toward using text message reminders as a strategy for improving medication adherence.
There were significant differences in how medication adherence was measured across the quantitative studies. Xu et al. (2019) measured medication adherence among patients with schizophrenia using both observation (unannounced pill counts compared to refill records) and adherence rating scales, specifically the Drug Attitude Inventory and the Brief Adherence Rating Scale. Chiaranai et al. (2023) measured medication adherence among type II diabetes mellitus patients by observing their levels of glycated hemoglobin as documented in patient records. Both Zhao et al. (2019) and Belete et al. (2023) measured medication adherence by merging data from RCTs that employed adherence rating survey scales, including the Self-Efficacy for Appropriate Medication Use Scale, the Management of Disease Scale, and the Morisky Medication Adherence Scale.
Study Findings
All six studies found that text message reminders significantly improved medication adherence among study participants, although the effect on clinical outcomes varied. Xu et al. (2019) found that the use of text message reminders improved medication adherence rates among patients with schizophrenia by 27 percent, although the effect on patient symptoms was not statistically significant. Zhao et al. (2019) found that medication adherence rates among coronary heart disease patients exposed to text message alerts and reminders were 2.9 times higher than those of control group participants. Clinical outcomes, as measured by cholesterol levels and systolic blood pressure, also improved with the use of reminders.
Similarly, Chiaranai et al. (2023) found that text message reminders reduced patient glycated hemoglobin levels from 7.86 to 6.5 HbA1c in the intervention group, while levels increased from 7.829 to 7.853 in the control group. The study also found that reminders had a significant positive effect on quality of life. Belete et al. (2023) found that text message reminders improved medication adherence among type II diabetes patients from 14 percent to 59 percent. Both Sherman et al. (2018) and Park et al. (2020), in their qualitative studies, found that the use of text message reminders enhanced adherence to coronary heart disease medication and antiretroviral drugs, although they noted a need to ensure that texts protect patients' confidentiality and that patients have greater control over the timing and content of messages.
References
Belete, A., Gemede, B., Akalu, T., Aynalem, Y., & Shiferaw, W. (2023). What is the effect of mobile phone text message reminders on medication adherence among adult type II diabetes mellitus patients: A systematic review and meta-analysis of randomized controlled trials. BMC Endocrine Disorders, 23(1), 18–30. https://doi.org/10.1186/s12902-023-01268-8
Chiaranai, C., Chularee, S., Prawatwong, W., & Srithongluang, S. (2023). Two-way SMS reminders for medication adherence and quality of life in adults with type II diabetes: A randomized controlled trial. Pacific Rim International Journal of Nursing Research, 27(3), 457–471. https://doi.org/10.60099/prijnr.2023.262244
Park, L. G., Ng, F., Shim, J., Elnaggar, A., & Villero, O. (2020). Perceptions and experiences of using mobile technology for medication adherence among older adults with coronary heart disease: A qualitative study. Digital Health, 6(1), 1–12.
Rindayati, A., Nasir, A., & Rizal, C. (2021). The relationship of family roles to medication adherence in schizophrenia patients. Journal of Vocational Nursing, 2(2), 113–118.
Sherman, E., Clauson, K., & Jacobs, R. (2018). Patient perceptions of text messaging to improve antiretroviral therapy adherence: A qualitative study. Journal of the International Association of Providers of AIDS Care, 17(1), 1–6.
Xu, D., Xiao, S., He, H., Caine, E., Gloyd, S., Simoni, J., Hughes, P., Nie, J., Lin, M., He, W., Yuan, Y., & Gong, W. (2019). Lay health supporters aided by mobile text messaging (LEAN) to improve medication adherence, symptoms, and functioning among people with schizophrenia in a resource-poor community in rural China: A randomized controlled trial. PLoS One, 59(1). https://doi.org/10.1371/journal.pmed.1002785
Zhao, Y., Dang, F., Zhai, T., Li, H., Wang, R., & Ren, J. (2019). The effect of text message reminders on medication adherence among patients with coronary heart disease. Medicine, 98(52), e18353.
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