Literature DB >> 33591624

Phone calls for improving blood pressure control among hypertensive patients attending private medical practitioners in India: Findings from Mumbai hypertension project.

Mandar Kannure1, Asha Hegde1, Anupam Khungar-Pathni2, Bhawna Sharma2, Angelo Scuteri3,4, Dinesh Neupane3,5, Ravdeep Kaur Gandhi1, Haresh Patel1, Sapna Surendran1, Vaishnavi Jondhale1, Suman Gupta1, Ajit Phalake1, Vrushal Walkar1, Roshini George1, Helen Mcguire1, Neeraj Jain1, Shibu Vijayan1.   

Abstract

Despite the availability of effective medication, blood pressure control rates are low, particularly in low- and middle-income countries. Adherence to medication and follow-up visits are important factors in blood pressure control. This study assessed the effectiveness of reminder telephone calls on follow-up visits and blood pressure control among hypertensive patients as part of the Mumbai Hypertension Project. This project was initiated by PATH with the support from Resolve to Save Lives from January 2019 to February 2020. The study included hypertensive patients attending 164 private practices in Mumbai, India; practitioners screened all adults visiting their clinic during the project period. Among 13 184 hypertensive patients registered, the mean age was 53 years (SD = 12.38) and 52% were female. Among the 11 544 patients that provided phone numbers and gave consent for follow-up calls, 9528 responded to phone calls at least once and 5250 patients followed up at least once. Of the 5250 patients, 82% visited the clinic for follow-up visit within one month after receiving the phone call. The blood pressure control rate among those who answered phone calls and who did not answer phone calls increased from 23.6% to 48.8% (P <.001) and 21.0% to 44.3% (P <.001), respectively. The blood pressure control rate at follow-up was significantly associated with phone calls (OR: 1.51, 95% CI: 1.34 - 1.71). The study demonstrates that telephone call intervention and follow-up visits can improve patient retention in care and, subsequently, blood pressure control among hypertensive patients attending urban private sector clinics in India.
© 2021 The Authors. The Journal of Clinical Hypertension published by Wiley Periodicals LLC.

Entities:  

Keywords:  blood pressure control | follow-up visit | mHealth | Mumbai Hypertension Project | phone calls| India

Mesh:

Year:  2021        PMID: 33591624      PMCID: PMC8678825          DOI: 10.1111/jch.14221

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN: 1524-6175            Impact factor:   3.738


INTRODUCTION

Hypertension is a major risk factor for cardiovascular disease (CVD) morbidity and mortality. It affects over one billion adults worldwide and is predicted to affect over 1.5 billion adults by 2025. CVD is now the number one cause of death, accounting for 28.1% of deaths and 14.1% of life‐years lost in India. Hypertension is one of the primary risk factors for CVD in India, with 54.6% of CVD disability‐adjusted life‐years attributable to high systolic blood pressure. Hypertension can be controlled by daily intake of antihypertensive medicine and by adopting a healthy lifestyle. Adherence to medication therapy is a primary determinant for hypertension control. In India, studies have estimated the rates of non‐adherence to medication among person with hypertension to be between 27% and 70%. Along with other factors, non‐adherence has yielded poor blood pressure control in India. A nationally representative study among persons with hypertension age 15‐49 years found that only 13% were on treatment, and 8% had their hypertension under control. The prevalence of hypertension in the state of Maharashtra was 25.1% for those above 18 years of age, 23.9% in rural and 26.7% in urban areas. A representative study of older individuals in India found that those with diabetes or hypertension were more likely to use private care than other adults. Thus, focusing on the government health care delivery system alone would not be enough to increase blood pressure control. There is also a need to implement feasible and effective methods to support the patient's return to clinics for follow‐up and adjustment of antihypertensive treatment. Clinical trials have demonstrated the efficacy of several strategies for improving adherence and lowering blood pressure. A systematic review found evidence that several mHealth interventions such as short text messages (SMS), phone calls, and mobile applications for self‐management improve adherence to medication as well as control of hypertension. While the use of telephone calls as a reminder may help for follow‐up and counseling on hypertension therapy, this approach has not been systematically evaluated in India, although India has approximately 1.18 billion wireless subscribers. Given the hypertension burden in Mumbai, Resolve to Save Lives (RTSL) and PATH designed the Mumbai Hypertension Project to improve hypertension management in the urban slums of Mumbai. The Municipal Corporation of Greater Mumbai (MCGM), the target project area, is an urban agglomerate with approximately 12.3 million people, of which nearly 50% live in slums. Mumbai Hypertension Project aims to generate evidence for the government, RTSL, and other stakeholders to inform a targeted approach for effectively engaging the private sector. This study also intends to demonstrate a replicable service delivery model that could ensure that both private providers and people living with hypertension receive the requisite support to ensure treatment continuity and follow‐up monitoring, based on a standardized approach for hypertension management. As part of the larger study, this study evaluates the effect of telephone calls on follow‐up visits and blood pressure control among hypertensive patients registered in two wards of Mumbai from January 2019 to December 2019.

METHODS

Study setting, design, and participants

This study was conducted in 164 private practitioner clinics catering to the urban slum population in two wards of Mumbai. Both wards were part of a private sector‐focused interventions: the N ward (a sporadic slum cluster) received an "intensive" intervention and the G‐North ward (a dense slum cluster) received a "lean" intervention. The private sector clinics in the intensive intervention ward were assigned to receive project support staff, monthly phone calls, and free medicines, whereas clinics in the lean intervention ward received quarterly phone calls and free medicines. The intervention wards have an estimated combined population of 1.2 million, including 450 000 adults, and an estimated hypertension burden of 130 700 adults. Mapping of the available private clinics in the selected urban slums was conducted through a survey of 420 medical practitioners in the identified geography. Two hundred providers were approached and 164 were engaged in a phased manner. The engagement criteria adopted for the selection were as follows: (a) interest in participating in the study, 2) Outpatient Department (OPD) patient load >=50 adults per day, and 3) comfort with prescribing project‐selected preferred antihypertensive brands. Among these providers, 32% had Doctor of Medicine (MD), 17% had Bachelor of Medicine and Bachelor of Surgery (MBBS), and 63% had Ayurveda, Yoga and Naturopathy, Unani, Siddha, and Homeopathy (AYUSH) academic qualifications. During the study period, a total of 13 184 patients were enrolled in the study. Patients above 18 years of age accessing services from the participating clinics of registered private medical practitioners were screened for hypertension, per the Maharashtra hypertension protocol (Figure 1). Professional, validated digital blood pressure devices were provided to the practitioners for hypertension screening. Per the protocol, Stage I hypertensive patients (BP = 140‐159/90‐99 mm Hg) required at least two blood pressure measurements on two different days to diagnose the patient as hypertensive. Whereas Stage II hypertensive patients (BP>=160/100 mm Hg) required at least two readings on the same day to confirm the diagnosis. The second reading was considered as diagnostic. Accordingly, patients diagnosed with hypertension, as well as existing hypertensive patients on treatment, were registered in this study after providing informed consent.
FIGURE 1

Maharashtra Hypertension Protocol

Maharashtra Hypertension Protocol The patients registered under the Mumbai Hypertension Project in both the lean and intensive wards (Figure 2) were expected to follow‐up every month for blood pressure measurement and prescription refill. Once the telephone call intervention commenced, patients overdue for their regular monthly follow‐up visits received a phone call from a trained treatment coordinator. During this telephone conversation, the treatment coordinator inquired about treatment adherence, educated the patient about lifestyle management and the complications of uncontrolled blood pressure, and encouraged them to visit the practitioner for regular blood pressure measurement. To ensure the quality of calls, random on‐spot checks were done with the help of a supervisory checklist (Table 1). Scoring was done for the purpose of setting goals and tracking improvement. Supervisors immediately shared the evaluation results with the treatment coordinators.
FIGURE 2

Flow Diagram of Study Participants. *1176 patients in the study shared their phone numbers but refused to give consent for phone calls. These patients were tagged as “Do not disturb” (DND)

TABLE 1

Supervisory checklist for coordinators making phone calls

Coordinator name:

Name of Supervisor:

No.IndicatorScore
1Weekly Due List with details available in hand before the callY N
2Patient greeted and self‐introduction that call is made on behalf of the doctorY N
3Briefed the patient on the purpose of call (adherence/follow‐up) & asked language preference of the patientY N
4Asked the patient if its right time to talk & can s/he spare 10 mins (adherence) or 5 mins (follow‐up)Y N
5Reconfirm patients address / localityY N
6Whether following points covered in the conversation
Background information on Hypertension—Family History etcY N
Latest BP measurement done & explain Normal Blood PressureY N
Whether Patient ID card was handed over after registration.Y N
7Emphasize on harmful effects of uncontrolled blood pressure—physiological & financialY N
8Importance of Medication Adherence (more emphasis during adherence call)Y N
9Advice patient to follow‐up with doctor if any side effects or discomfortY N
10Advice on Lifestyle Changes (must during adherence call / during follow‐up only for uncontrolled BP patients)Y N
Exercise for at least 30 minutes a day‐ yoga or walkY N
Salt reduction: Not more than 1 teaspoon (<5mg) for the whole day including all mealsY N
If alcohol drinking or smoking is a part of daily lifestyle, it is best to stop or progressively reduce the behaviorY N
11Remind the patient to return to follow‐up on the date mentioned in the prescription/ID card given by doctor.Y N
12In Intensive ward, the alternate places for BP check‐up—provide the option for free F/U check‐up—hub / community kioskY N NA
13Emphasize the importance of regular follow‐upY N
14Remind patient to carry along the patient ID card during each visitY N
15Thank the patient for their valuable timeY N
Total Score (Out of 20)
Flow Diagram of Study Participants. *1176 patients in the study shared their phone numbers but refused to give consent for phone calls. These patients were tagged as “Do not disturb” (DND) Supervisory checklist for coordinators making phone calls Coordinator name: Name of Supervisor: Information regarding patient's age, sex, unique project ID number, phone number, blood pressure measurement, medication prescribed, consent, new registration/follow‐up visits were recorded in triplicate vouchers maintained in the project. The data related to these variables were maintained in an excel sheet.

Data analysis

The blood pressure measurement recorded during registration was considered as the baseline, and the blood pressure recorded during the most recent follow‐up visit was considered as the end point. Phone call group is defined as those who answered at least one phone call, and no phone call group is defined as those who did not answer any phone call. All analyses were performed using R software. The categorical variables are provided as percentages, and the continuous variables are summarized as means ± SD. Chi‐square test and t‐test for independent samples were performed for categorical and continuous variables, respectively. Multiple logistic regression models were used to explore the association between phone calls and blood pressure control, adjusting for age, ward type, sex, and baseline blood pressure control rate. A two‐sided P‐value < 0.05 is considered statistically significant.

RESULTS

The baseline characteristics of the participants are presented in Table 1. Among 13 184 hypertensive patients registered from January 2019 to February 2020, the mean age was 53 years (SD = 12.38), 52% were female, and 96% provided their phone number. The largest number of patients were enrolled in November 2019, followed by October 2019. The cumulative number of patients registered by month is presented in Figure 3.
FIGURE 3

Cumulative number of patients enrolled in the hypertension control program; Patients were recruited based on hypertension diagnosis made in private sector clinics in two wards of Mumbai, India

Cumulative number of patients enrolled in the hypertension control program; Patients were recruited based on hypertension diagnosis made in private sector clinics in two wards of Mumbai, India Of 13 184 registered patients, phone numbers were available for 12 720. Among them, phone calls were attempted for 11 544. Of the 11 544 patients, 9528 answered to at least one phone call, and 5250 patients came for at least one follow‐up visit at the practitioner's clinic. Among the 2016 patients whose phone did not answer, 889 came for at least one follow‐up visit. The mean systolic and diastolic blood pressure during baseline were 155.5/93.8 (SD = 19.9/11.5) and 154.3/91.8 (SD = 20.3/12.0) mm Hg in the phone call and no phone calls group, respectively in the lean ward and 147.5/88.3 (SD = 22.9/13.4) and 149.8/89.4 (SD = 21.2/13.5) mm Hg in the phone and no phone calls group, respectively in the intensive ward. The patient follow‐up characteristics are presented in Table 1. 55% of patients from the answered phone call group and 44% of patients from the unanswered phone call group attended at least one follow‐up visit in the clinic. The mean SBP and DBP among the phone call group in the lean ward were 142.3 (SD = 17.4) mm Hg and 86.7 (SD = 10.5) mm Hg, whereas in the intensive ward were 135.8 (SD = 18.1) mm Hg and 82.8 (SD = 11.1) mm Hg. The mean SBP and DBP among no phone call group in the lean ward were 145.3 (SD = 18.0) mm Hg and 87.4 (SD = 10.7) mm Hg, respectively, and in the intensive ward were 135.8 (SD = 17.8) mm Hg and 83.0 (SD = 10.2) mm Hg, respectively. Of the 5250 patients who answered the phone call and returned for a follow‐up visit, 82% patients (Table 3) visited the clinic within one month after receiving the phone call; whereas, of the 889 patients for whom the phone did not connect but followed up, 38% patients visited for the same time.
TABLE 3

Number of days taken for follow‐up visit among the patients for whom follow‐up call was connected in MHP

No. of days to follow‐up visit a

Patients who answered phone call

N = 5250

Patients who did not answer phone call

N = 889

TotalCumulative %TotalCumulative %
Less than 02615%00%
<=7 D237050%708%
8‐15 D47459%5414%
16‐30 D118282%21038%
>=31 Days963100%555100%

Patients who did not come within 30 days after receiving phone calls were given reminder calls every month. Also, patients registered in last month (December 2019) of the study were allowed to visit till Feb 2020.

Number of days taken for follow‐up visit among the patients for whom follow‐up call was connected in MHP Patients who answered phone call N = 5250 Patients who did not answer phone call N = 889 Patients who did not come within 30 days after receiving phone calls were given reminder calls every month. Also, patients registered in last month (December 2019) of the study were allowed to visit till Feb 2020. The proportion of patients with controlled blood pressure increased from 23.6% to 48.8% (P <.001) in the call answered group and 21.0% to 44.3% (P <.001) in the call not answered group. The association between blood pressure control status at the follow‐up visit and phone calls are presented in Table 4. The odds of hypertension control were 1.52 (OR: 1.52, 95% CI: 1.35‐1.72) times higher among those who answered the phone call than those who did not. We found that the odds of hypertension control were 1.88 (OR = 1.88; 95% CI: 1.70‐2.08) times higher in intensive ward compared to lean ward. We also found that being female was significantly associated with blood pressure control compared to being male (OR: 1.32; 95%CI: 1.21‐1.44).
TABLE 4

Logistic regression analysis of blood pressure control status at baseline/follow‐up visit and phone calls

VariableOR95% CI
Connected to phone calls
NoRef
Yes1.521.35 ‐ 1.72
Sex
MaleRef
Female1.3221.21 −1.44
Age
18‐44 yRef
45 to 59 y1.221.08 ‐ 1.39
≥ 60 (reference: 18‐44 y)1.110.97 ‐ 1.28
Ward
LeanRef
Intensive1.881.70‐2.08

Patients whose phone calls were connected after completion of at least 30 days after registration were included in this analysis. Adjusted for age, sex, ward, and hypertension control status at baseline visit.

Logistic regression analysis of blood pressure control status at baseline/follow‐up visit and phone calls Patients whose phone calls were connected after completion of at least 30 days after registration were included in this analysis. Adjusted for age, sex, ward, and hypertension control status at baseline visit.

DISCUSSION

This study demonstrates that telephone calls can be an important intervention for motivating hypertension patients to attend regular follow‐up visits in India's private sector, yielding improved retention in care and improved blood pressure control in patients participating in the intervention. Our results are similar to the study conducted in Tamil Nadu, India in a government tertiary care hospital, where counseling through telephone calls provided by pharmacists improved medication adherence and treatment satisfaction. According to Krishna et al, telephone reminder calls encouraged patients to attend scheduled, or remedy missed, follow‐up visits with private practitioners in Madhya Pradesh, which is similar to our findings. A study on diabetes management found a telephone support line at the hospital and community level to be a useful tool for improving follow‐up and management in diabetes. The blood pressure control rate among phone call group increased from 25.0% to 48.8% in just 12 months. The difference in the control rate between those who answered the phone calls and those who did not was 4.5%. However, this difference should be interpreted cautiously because these two groups were not randomized. The characteristics of those who answered and not answered the phone might be different. Phone numbers that did not result in connection because of a wrong number/switched off/unavailable showed the importance of validating mobile numbers at the time of registration to ensure accurate phone numbers are recorded in the database. Even when calls were connected, 2% of the phone calls were answered by patient relatives not expecting these phone calls. Those who returned to the clinic without a reminder might be more serious about their treatment plan, and we could expect that most of those who did not return to the clinic might be asymptomatic. As patients included in the analysis had at least two visits to the clinics, this might have contributed to the significant increase in control rate regardless of the phone call. The comparison group used in this study may not reflect the actual blood pressure control rate of those who never returned to the clinic. Future studies are needed to explore the reasons why patients did not return to the clinic and what factors motivate them to return to the clinic. The results of this analysis should be interpreted with caution because they were observed in the context of an ongoing multi‐component hypertension control program, and the intervention and subsequent data analysis were conducted across lean and intensive wards. Another limitation of the study is that we did not have complete information about the registered patients' history and type of medication. These two factors affect the control rate of hypertension. Further, other project strategies like no‐cost medication, provider consultation charges, project support staff placed at high load clinics, patient socio‐economic status, and patients' underlying conditions could have influenced the follow‐up and control rates. Nevertheless, the study showed that telephone calls made to hypertensive patients that focused on the importance of regular follow‐up, lifestyle changes, and medication adherence seemed to improve the blood pressure control rate among those who returned to the follow‐up visits.

CONCLUSION

This study demonstrates that participation in a telephone call intervention can improve patient retention in care and, subsequently, blood pressure control among hypertensive patients attending urban private sector clinics in India. Based on the results, the Municipal Corporation of Greater Mumbai and the state government of Maharashtra may explore utilizing the existing government call center to follow‐up with hypertensive patients. Also, in the current pandemic situation, our approach could be an alternative strategy for the management of non‐communicable diseases like hypertension, diabetes, etc to ensure compliance with treatment and to provide patient education on the importance of lifestyle modifications. To optimize private sector involvement in hypertension management, the call center approach is necessary in the current and post‐COVID‐19 era.

CONFLICT OF INTEREST

None.

AUTHOR CONTRIBUTIONS

MK was responsible for the conception and study design, drafting, and revising the manuscript. RG, SS, and SG were responsible for data collection and field implementation. HP, VW, and AP were responsible for data analysis and interpretation of the results. AKP, SV, NJ, HM, RG, DN, AS, and BS were involved in intellectual input and critical manuscript revision. AH and VJ were responsible for data review and interpretation of the results and supported drafting and revising manuscript. All authors approved the final version of the manuscript submitted. Baseline and Follow‐up characteristics of the patients Lean (n = 3078) Intensive (n = 6450) Lean (n = 858) Intensive (n = 1158) Lean (n = 1698) Intensive (n = 3552) Lean (n = 324) Intensive (n = 565) 50.4 (12.8) 53.8 (12.0) 51.7 (12.9) 55.2 (12.1) 51.1 (12.3) 53.7 (11.8) 52.3 (11.8) 54.8 (11.5) 1606 (52.2%) 416 (48.5%) 443 (38.2%) 873 (51.4%) 1695 (47.7%) 149 (46.0%) 197 (34.9%) 155.5 (19.9) 147.5 (22.9) 154.3 (20.3) 149.8 (21.2) 142.3 (17.4) 135.8 (18.1) 145.3 (18.0) 135.8 (17.8) 93.8 (11.5) 88.3 (13.4) 91.8 (12.0) 89.4 (13.5) 86.7 (10.5) 82.8 (11.1) 87.4 (10.7) 83.0 (10.2) 359 (11.7%) 147 (17.1%) 276 (23.8%) 556 (32.7%) 2007 (56.5%) 96 (29.6%) 298 (52.7%)
TABLE 2

Baseline and Follow‐up characteristics of the patients

VariablesBaselineFollow‐up
Phone Call connected (n = 9528)Phone Calls not connected (n = 2016)Phone Call connected (n = 5250)Phone Calls not connected (n = 889)
Ward

Lean

(n = 3078)

Intensive

(n = 6450)

Lean

(n = 858)

Intensive

(n = 1158)

Lean

(n = 1698)

Intensive

(n = 3552)

Lean

(n = 324)

Intensive

(n = 565)

Mean Age (SD)

50.4

(12.8)

53.8

(12.0)

51.7

(12.9)

55.2

(12.1)

51.1

(12.3)

53.7

(11.8)

52.3

(11.8)

54.8

(11.5)

Male (%)

1606

(52.2%)

3064 (47.5%)

416

(48.5%)

443

(38.2%)

873

(51.4%)

1695

(47.7%)

149

(46.0%)

197

(34.9%)

Mean SBP (SD)

155.5

(19.9)

147.5

(22.9)

154.3

(20.3)

149.8

(21.2)

142.3

(17.4)

135.8

(18.1)

145.3

(18.0)

135.8

(17.8)

Mean DBP (SD)

93.8

(11.5)

88.3

(13.4)

91.8

(12.0)

89.4

(13.5)

86.7

(10.5)

82.8

(11.1)

87.4

(10.7)

83.0

(10.2)

Controlled BP no. (%)

359

(11.7%)

1897 (29.4%)

147

(17.1%)

276

(23.8%)

556

(32.7%)

2007

(56.5%)

96

(29.6%)

298

(52.7%)

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